Data Engineering Jobs

UnitedHealth GroupHQI 75

**Requisition number:** 2381262 **Job category:** Technology Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.** **Primary Responsibilities:** + Be able to learn thing sand delivery on time + Develop software solutions by studying information needs; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle + Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions + Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code + Prepare and install solutions by determining and designing system specifications, standards and programming + Collaborate with team to brainstorm and create new products + Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements **Required Qualifications:** + Graduate degree or equivalent experience + B.E. / B.Tech / M.Tech / MCA(Fulltime Regular) from a recognized University + 5+ years of experience in IT + Hands-on experience in AI tools and technology + Working Experience in SQL, Shell Scripting + Experience in an agile environment + Expertise in Bigdata technologies like Spark, Scala, Hive including one of cloud platform either Azure or AWS + Proven good analytical skills + Proven good communication skills _At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

Collective.workHQI 74

Taux journalier (TJM): 600 CONTEXTE Mission longue, basée à Lille (hybride), pour une grande organisation numérique. L'équipe SMP (Supply Chain Supply & Material Planning) recherche un-e ingénieur-e IA dédié-e au déploiement d'agents. Le poste porte sur l'industrialisation, le déploiement et la supervision de capacités d'agents, l'intégration avec les systèmes d'entreprise et la définition d'une architecture sécurisée permettant l'interaction native avec les données et systèmes historiques. Contexte multi-cloud et contraintes régionales (notamment Chine). MISSIONS * Sécuriser et cadrer l'architecture applicative Data & IA (alignement entre solutions SAP et briques custom). * Définir trajectoires et guidelines techniques entre solutions managées (SAP Joule) et développement custom. * Advisory technique et challenge des RFI/RFQ sur le volet Data & IA. * Définition de la stratégie et architecture multi-agents et intégration A2A via les frameworks (GenieOne, SAP Joule, MCP, contraintes régionales/Chine). * Structurer la trajectoire Data/Ontologie du sous-domaine SMP en s'appuyant sur la Data Centrale. * Livrables attendus : V0 Guidelines d'Architecture, Gouvernance de l'IA Agentique & POC A2A (incl. Databricks Orchestrateur central / Unity Catalog, environnements multi-cloud AWS/GCP/BDC-SAP), matrice d'évaluation technique & financière (Joule vs Agents Custom), cadrage POC A2A et suivi conformité, prise en compte des spécificités Chine. * Advisory pour RFI/RFQ : grille d'évaluation Data & IA, participation aux soutenances et audits. * Cadre sécurité des agents : matrice gouvernance, guardrails (ex. NeMo Guardrails, Llama Guard), IAM, tests, métriques, document métadonnées & ontologie (Glossaire métier SMP, mapping Graph RAG / Semantic Layer), projection budgétaire 2027 (Capex/Opex). PROFIL RECHERCHÉ Compétences et niveaux exigés : * Métier, Leadership & Soft Skills - Expert * IA Générative, LLM & Agentique - Expert * Industrialisation, MLOps & Cloud - Expert * Sécurité, Guardrails & Gouvernance IA - Expert Abonnez-vous à la page NaxoTech sur LinkedIn pour découvrir nos offres régulières : https://www.linkedin.com/company/naxotech (https://www.linkedin.com/company/naxotech) 1. Expert en Métier, Leadership & Soft Skills 2. Expert en IA Générative, LLM & Agentique 3. Expert en Industrialisation, MLOps & Cloud 4. Expert en Sécurité, Guardrails & Gouvernance IA

The Very GroupHQI 78

The Very Group is seeking a senior engineering leader for the Data team. You will lead multiple Data Engineering Managers, BI Engineering Managers and Lead Engineers, shaping data strategy and delivering scalable data products across the organization. You will partner with Architecture, Product and Technology leaders to set the direction, modernise platforms, and manage debt while nurturing a diverse, high-performing team in a hybrid working environment. J-18808-Ljbffr

GenpactHQI 72

Data Architect Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook. Job Description Responsibilities They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.\n Roles and Responsibilities: 1. Develop and implement data strategies for large-scale data solutions; 2. Design and maintain data architecture for big data systems; 3. Collaborate with cross-functional teams to understand data requirements and design appropriate solutions; 4. Optimize data storage and retrieval processes for efficiency and performance; 5. Ensure data security, integrity, and compliance with data governance policies; 6. Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities. Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle Required Skills Data Quality Framework, Data Quality Management, Finance Industry, SAP Master Data Governance, SAP Modules Language English Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - Data Engineering Remote Type - Hybrid Work Shift - Flex Time (India) Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

SpaceXHQI 86

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. SOFTWARE ENGINEER (AI DATA ENGINEERING) Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft. Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars. You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve. Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission. RESPONSIBILITIES: • Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it • Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights • Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems • Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work • Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results • Rapidly prototype and iterate, then take tools to a production-grade, maintainable state • Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment • Prioritize work by return on investment and track the engineering hours saved BASIC QUALIFICATIONS: • Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree • 5+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable) • 5+ years of programming experience in Python PREFERRED SKILLS AND EXPERIENCE: • Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback • Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy • Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs • Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills • Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model • Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources • Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills • Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask) • Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring • Familiarity deploying containerized applications using Docker and Kubernetes • Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software • Strong communication skills and ability to explain technical tradeoffs to engineers in other disciplines • Self-directed and comfortable owning ambiguous problems from initial idea through long-term maintenance ADDITIONAL REQUIREMENTS: • Willing to work extended hours and weekends as needed COMPENSATION AND BENEFITS: Pay Range: Level 3: $165,000.00 - $265,000.00 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to [contact via application link] .

JustworksHQI 86

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & AI About The Team The Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us! The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You're a hands-on engineering leader with deep experience building and operating modern data platforms. You've led teams through scale — evolving architecture, improving reliability, and making hard tradeoffs between speed, cost, and quality. You're as comfortable reviewing a PR or debugging a pipeline failure as you are setting quarterly roadmap priorities or presenting a platform strategy to senior leadership. You think in systems - how pipelines, orchestration, governance, and observability connect to produce a trustworthy platform - and you know how to build a team that operates with both craft and urgency. You develop engineers, set a high technical bar, and create an environment where people grow. You bring strong opinions grounded in experience with modern PaaS data stack technologies - Snowflake, Fivetran, Airflow, dbt, Estuary - and you've seen what works and what doesn't at scale. Snowflake is core to how we operate and you should have depth there. Reporting to the VP of Data & Analytics, you'll lead the data platform organization, setting technical direction, driving operational excellence, and ensuring the platform is reliable, scalable, and built to support the company's growth. Your Success Profile What You Will Work On Platform Leadership & Technical Direction • Own the technical direction of Justworks' core data platform — pipelines, infrastructure, orchestration, and the standards that keep it trustworthy • Lead architectural decisions on cloud data infrastructure, balancing scalability, cost, reliability, and security • Drive operational excellence across the platform — observability, data quality, cost optimization, incident management, and SLAs • Set and enforce engineering standards — testing, documentation, CI/CD, and code review best practices • Maintain and evolve infrastructure as code, ensuring the platform is auditable, repeatable, and resilient Team Leadership & Development • Lead and develop a team of data engineers, including direct line managers and individual contributors at various levels • Set a high bar for engineering craft — mentor engineers, conduct architecture reviews, and foster a culture of continuous improvement • Recruit and hire high-caliber data engineers as the platform team grows • Create an environment where engineers develop their skills, take ownership, and do the best work of their careers Cross-Functional Partnership & Delivery • Partner with DNA functional teams (e.g. Analytics Engineering, BI, Data Science) and distributed Data Engineering teams to ensure the platform serves the full breadth of org needs • Collaborate with other engineering teams to align on data contracts, security, compliance, and shared infrastructure • Drive planning processes that connect platform priorities to DNA's overall strategy and enterprise OKRs How You Will Do Your Work As a Sr. Manager, Data Platform Engineering,, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies: • Plans & Aligns - Ensures individual actions support company mission; communicates effectively; understands urgency and plans accordingly • Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders. • Influence and Leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization. • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. • Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes • Teamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiency • Skills and Knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve. In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for: • Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others. • Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others. • Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude. • Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. • Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.” Qualifications You're a builder who applies systems thinking to internal infrastructure. You're comfortable working across a diverse data organization and partnering with leadership to turn fragmented ways of working into scalable, durable systems. • 10+ years of professional experience in data engineering, with at least 5 years working hands-on with modern PaaS data stack technologies (Snowflake, Fivetran, Airflow, dbt, Estuary, or equivalent) • Deep Snowflake expertise - schema design, query optimization, cost governance, data sharing, and performance tuning at scale • 5+ years of engineering management experience, including experience managing managers or leading a multi-team engineering organization • Strong architectural judgment - able to make sound decisions on pipeline design, infrastructure patterns, and platform evolution • Experience leading a distributed engineering team across multiple workstreams and delivery tracks • Deep proficiency in SQL and Python; recognized by peers for technical rigor • Strong expertise with AWS services (S3, Lambda, Fargate, Kinesis) and infrastructure-as-code (Terraform, CloudFormation) • Strong experience with data governance, security, and compliance in a production environment • Excellent communicator — able to engage technical and non-technical stakeholders, present platform strategy to senior leadership, and translate infrastructure investments into business terms • Comfortable navigating ambiguity and driving work forward in a fast-moving environment • Point of view on how AI is changing data platform engineering — both in how the team works and what the platform enables Nice to have • Experience building data platforms that support ML/AI workloads (feature stores, model pipelines, vector stores) • Background in a regulated or compliance-sensitive environment (fintech, HR tech, healthcare) • Experience with streaming/CDC technologies (Estuary, Kafka, Debezium) Technologies Used • Languages: Python, SQL, Terraform • Data & Analytics: Snowflake, dbt, Fivetran • Streaming & CDC: Estuary • Workflow Orchestration: Airflow, MWAA • Cloud: AWS (S3, Lambda, Fargate, Kinesis, Step Functions, EventBridge) • Observability & Monitoring: Datadog • CI/CD: GitHub Actions The base wage range for this position based in our New York City Office is targeted at $240,000.00 - $310,000.00 per year. #LI-DG2 #LI-Hybrid Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location. For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks . Diversity At Justworks Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers. We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at [contact via application link] . Your comfort and success matter to us, and we're here to ensure an inclusive experience. Our DEIB Report

LogitechHQI 83

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. About the Role We are looking for a Junior Data Engineer to join the Data Engineering team supporting Logitech's global supply chain functions — planning, logistics, sourcing, manufacturing, procurement, and customer service. You will build and maintain data pipelines, models, and internal tooling that power operational and analytical decision-making across these domains. Responsibilities • Design, develop, and maintain ELT/ETL pipelines on Snowflake using SQL, Snowpark (Python), and related tooling • Build and optimize data models in the enterprise data warehouse (EDW) supporting supply chain reporting and analytics • Develop and support Streamlit-in-Snowflake applications for internal business teams • Write clean, well-tested SQL for data transformations, aggregations, and quality checks • Collaborate with supply chain analysts and business users to understand data requirements and translate them into technical solutions • Monitor pipeline health, troubleshoot data quality issues, and implement automated alerting • Participate in code reviews, documentation, and knowledge sharing within the team Required Skills • 1+ years hands-on experience with SQL (complex queries, window functions, CTEs) • Working knowledge of Python (data manipulation with pandas or similar) • Familiarity with at least one cloud data warehouse (Snowflake preferred; BigQuery, Redshift, or Databricks acceptable) • Understanding of data warehousing concepts — star/snowflake schemas, slowly changing dimensions, incremental loads • Basic understanding of version control (Git) • Strong problem-solving skills and attention to data accuracy Preferred / Nice-to-Have • Experience with Snowflake features — stages, streams, tasks, dynamic tables, Snowpark • Exposure to Streamlit or similar Python-based app frameworks • Familiarity with orchestration tools (Airflow, dbt, or Snowflake Tasks) • Domain exposure to supply chain processes (order management, logistics, serialization, inventory) • Understanding of data governance and access control patterns What You'll Learn & Grow Into • Deep expertise in Snowflake's modern data platform (Snowpark, Cortex AI functions, native apps) • Supply chain domain knowledge (planning, logistics, manufacturing, procurement) • End-to-end ownership of data products — from ingestion to self-service applications • Collaboration with global cross-functional teams Qualifications • B.E./B.Tech in Computer Science, Information Technology, or related field • 1–2 years of professional experience in data engineering, analytics engineering, or a related data role • Strong communication skills — ability to work with both technical peers and non-technical stakeholders Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +[phone removed] for assistance and we will get back to you as soon as possible.

Cisco SystemsHQI 86

The application window is expected to close on: 10/27/2026 Meet the Team Cisco Network Platform processes telemetry from more than 25 million devices worldwide, ingesting petabytes of data every day. This data powers critical network experiences, operational insights, and customer-facing capabilities across Cisco’s platform. We’re looking for a Data Engineer to help build and operate the large-scale systems that make this possible. You’ll work on high-throughput data ingestion, processing, and storage systems that turn raw device telemetry into reliable, useful data products. This is an opportunity to solve distributed-systems challenges at meaningful scale alongside engineers across the organization. Your Impact In this role, you will architect and operate scalable data pipelines capable of ingesting petabyte-scale telemetry from over 25 million network devices to drive global operational insights. You will engineer resilient, high-performance distributed systems within Kubernetes environments, directly impacting the availability and reliability of critical network infrastructure. By collaborating across product and engineering teams, you will translate complex data requirements into dependable solutions that empower data-driven decision-making. You will establish robust observability standards using ELK and Grafana to proactively identify issues and streamline system recovery. You will accelerate the entire development lifecycle by integrating AI-assisted engineering tools, ensuring that every deployment meets rigorous standards for security, validation, and design excellence. Minimum Qualifications • Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience, orequivalent related work experience • Experience building, operating, or debugging distributed systems or backend services that process large volumes of telemetry data daily. • Programming experience using Scala, C++, or Java within a production environment. • Experience designing and managing data pipelines applying real-time streaming or batch processing frameworks such as Kafka, Spark, or Flink. • Experience deploying and maintaining containerized workloads on Kubernetes clusters in a production environment. Preferred Qualifications • Experience with SQL, distributed data stores or operating cloud-native services in production. • Familiarity with network telemetry, networking protocols, or large fleet-management systems. • Experience with Terraform, Ansible, Elasticsearch, or Grafana for automating infrastructure and monitoring workflows. • Contributions to open-source projects, personal systems projects, or other evidence of technical curiosity. • A pragmatic, organized approach to software quality, testing, and operational ownership, with strong problem-solving skills and enthusiasm for working with complex systems at scale. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $167,700.00 to $245,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next • Additional paid time away may be requested to deal with critical or emergency issues for family members • Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: • .75% of incentive target for each 1% of revenue attainment up to 50% of quota; • 1.5% of incentive target for each 1% of attainment between 50% and 75%; • 1% of incentive target for each 1% of attainment between 75% and 100%; and • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $167,700.00 - $282,000.00 Non-Metro New York state & Washington state: $149,100.00 - $250,900.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Cardinal HealthHQI 72

Analyst, Data Engineering - Platform Engineering What Data Engineering Contributes to Cardinal Health The Data & Analytics Function oversees the analytics lifecycle to identify, analyze, and present actionable insights that drive business decisions and create competitive advantage. This function manages enterprise data platforms, data access, governance, reporting, business intelligence solutions, and advanced analytics capabilities. Data Engineering is responsible for building, maintaining, and optimizing scalable data platforms that enable efficient data ingestion, transformation, orchestration, and consumption across the enterprise. As part of the Platform Engineering team, this role focuses on delivering reliable, secure, automated, and scalable data infrastructure supporting business-critical analytics and data products. The ideal candidate will contribute to platform operations, cloud-based data engineering solutions, CI/CD automation, and production support while partnering with cross-functional teams to ensure a stable and high-performing data ecosystem. Qualifications 1-3 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles. Bachelor’s degree in computer science, Engineering, Information Systems, or a related discipline (or equivalent work experience). Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms. Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools. Working knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS. Experience with SQL, Python, PySpark, and data engineering best practices. Familiarity with source control tools such as Git/GitHub. Basic understanding of Infrastructure as Code (IaC) concepts, preferably Terraform. Knowledge of platform monitoring, observability, incident management, and operational support processes. Understanding of data governance, security, access management, and platform reliability principles. Key Responsibilities Support the design, implementation, and maintenance of enterprise data platform solutions. Develop, deploy, and manage data processing workloads using Databricks and Apache Spark. Build and maintain CI/CD deployment pipelines using Harness and other DevOps tools. Support platform modernization, cloud migration, automation, and continuous improvement initiatives. Monitor platform health, performance, and availability and proactively identify opportunities for optimization. Investigate and resolve platform issues, deployment failures, and data pipeline incidents. Collaborate with Data Engineers, Architects, Product Teams, and Business Stakeholders to deliver reliable data platform capabilities. Ensure adherence to security, compliance, governance, and operational standards. Participate in production support activities, root cause analysis, and incident resolution processes. Contribute to documentation, operational runbooks, and knowledge-sharing initiatives. Work closely with global teams to deliver highly available and scalable platform services. What Is Expected of You and Others at This Level Applies foundational technical knowledge and engineering best practices to platform and data engineering tasks. Works on projects of moderate scope under guidance from senior engineers and technical leads. Troubleshoots and resolves technical issues using established procedures and operational frameworks. Demonstrates strong analytical and problem-solving capabilities. Continuously develops expertise in Databricks, cloud technologies, DevOps, and platform engineering practices. Supports platform reliability, automation, and operational excellence initiatives. Effectively collaborates within cross-functional and geographically distributed teams. Takes ownership of assigned deliverables and contributes to team success. Preferred Technical Skills Databricks (Workflows, Delta Lake, Unity Catalog) Apache Spark / PySpark Harness CI/CD Pipelines Python SQL Azure Data Platform, GCP, or AWS Git/GitHub Terraform Monitoring and Observability Tools DevOps & Platform Engineering Practices Incident and Production Support Management Work Schedule This position is part of a global Data Engineering Platform Operations team and requires participation in a rotational shift model to provide support coverage across multiple regions and time zones. Candidates should be comfortable working in the following rotational shifts based on business needs: Morning Shift: 6:00 AM - 3:00 PM Afternoon Shift: 1:00 PM - 10:00 PM Evening Shift: 5:30 PM - 2:30 AM Additional Expectations Participate in rotational production support and platform operations activities. Monitor and support Databricks environments, data pipelines, CI/CD deployments, and platform services. Respond to platform incidents, service disruptions, deployment failures, and operational requests within defined SLAs. Collaborate effectively with globally distributed platforms, engineering, and business teams. Support continuous improvement initiatives focused on automation, reliability, and operational efficiency. This role offers an excellent opportunity to gain hands-on experience with modern data platforms, cloud technologies, Databricks, DevOps practices, and enterprise-scale data engineering operations. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here

Wells Fargo BankHQI 75

About this role: Wells Fargo is seeking a highly motivated Principal Engineer to design, architect, and lead Data Engineering initiatives within the organization. This role requires a hands‑on technologist who can anchor critical initiatives to drive operational excellence and enhance employee and customer experience. In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 7+ years of progressive engineering experience with sustained hands‑on expertise in architecture, system design, and end‑to‑end solution development. 7+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloud‑native, lakehouse‑based architectures 3+ Years of Hands-on experience in transformation of legacy data framework to modern stack in private or public cloud. Architect and implement modern data platforms using Azure Fabric (OneLake, Data Factory, Synapse, Real‑Time Analytics, Power BI integration). Design and build data pipelines and platforms on GCP using services such as : BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog Deep expertise in SQL, Python, and distributed data processing frameworks (Spark, Beam) Strong hands‑on background of developing large scale enterprise applications. Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture. Hands on experience in building modernized applications using Microservice architecture. Cloud-native engineering experience — serverless, managed Spark, event-driven architectures. Familiarity with containerization (Docker, K8s) and workflow operators. Knowledge of data governance platforms (Collibra, Alation, Purview). Experience implementing lineage, observability, drift detection. Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decision‑making, automation, and predictive insights. Strong background in AI, Machine Learning, GenAI, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows. Job Expectations: Enterprise Technical Stewardship Act as a Principal Engineer and strategic advisor to senior leadership, shaping technology decisions that impact multiple lines of business and the broader enterprise. Define and evolve enterprise‑scale architectures for Data modernization ensuring alignment with security, risk, and regulatory requirements. Hands‑On Leadership Remain deeply hands‑on—designing, reviewing, and occasionally coding critical components to set a high engineering bar. Lead by example in applying engineering rigor, automation, testing, performance optimization, and secure coding practices. Influence & Thought Leadership Serve as a visible technical spokesperson internally and externally, presenting ideas, architectures, and innovation narratives with clarity and conviction. Mentor senior engineers and architects, raising the overall technical maturity of the organization. Foster a culture of engineering excellence, curiosity, and continuous learning. Outside‑In Innovation Continuously scan the external ecosystem to bring new ideas, technologies, and patterns into the enterprise in a pragmatic, value‑driven manner. Challenge legacy thinking and advocate for simplification, modernization, and platform thinking. Balance innovation with operational stability, risk management, and long‑term sustainability. Data Engineering Responsible for designing, developing, optimizing, and maintaining metadata‑driven, scalable, high‑performance data engineering frameworks that power critical data ecosystem in the HR space. Define and execute the enterprise data engineering roadmap aligned to business priorities. Mentor data engineering teams delivering scalable, secure, and high quality data solutions. Partner with architecture, product, analytics, and risk teams to drive data driven decision making. Track industry trends, evaluate relevant tools/platforms, and adapt the best practices, AI / GenAI Enablement Drive the strategy, adoption, and governance of AI and GenAI capabilities across HR initiatives. Partner with product, data, risk, and security teams to ensure responsible, explainable, and scalable AI solutions. Identify high‑value use cases and guide teams from proof‑of‑concept to production at scale. Outcome‑Driven Execution Measure success through business impact, not just technical delivery—improved time‑to‑market, developer productivity, system resilience, and customer outcomes. Partner closely with stakeholders to ensure technology investments deliver durable, enterprise‑wide value. Posting End Date: 28 Oct 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. #DNP-IND

DECATHLONHQI 74

L'équipe Data Platform de DECATHLON recherche son / sa futur e Data Engineering Manager Au cœur de l'entité Decathlon Digital, nous recherchons notre futur e Data Engineering Manager pour rejoindre les équipes Data Factory. Cette plateforme technologique, globale à tout le groupe de manière internationale, soutient le développement de l'usage de la Data chez Decathlon, du calcul du chiffre d'affaires à l'aide à la conception de produits innovants. Nous opérons une Modern Data Stack de pointe, avec un Lakehouse comme centre de gravité. Notre mission ? Garantir la scalabilité, l'automatisation et l'excellence des pratiques de développement pour l'ensemble de nos communautés (Data Engineers, Data Analysts, Data Scientists). L'entité Managed Tools est la forge de notre stack. Elle est responsable de la mise à disposition, de la robustesse et de la scalabilité des outils de transformation (compute et orchestration), d'exposition et d'IA pour l'ensemble du groupe. Ton futur terrain de jeu Au sein de la Data Factory et de l'entité Managed Tools, tu seras le / la manager de l'équipe Data Transformation. Tu auras la responsabilité d'une équipe de Data Engineers Plateforme et de PM Ensemble, vous maintenez, faites évoluer et promouvez les outils de transformation de données: Databricks comme stack de computing Astronomer pour l'orchestration Tu as aussi la responsabilité d'accompagner les utilisateurs vers les bonnes pratiques que vous aurez définies Ta future contribution En tant que manager, tu seras responsable de l'animation et du développement d'une équipe de 7 ingénieur es et un e PM: Tes missions principales seront : Leadership d'équipe : Définir la vision technologique et co-construire la roadmap de l'équipe. Delivery & Qualité : Garantir un delivery de qualité, respectant les délais et nos indicateurs de gouvernance. Accompagnement humain : Faire le pont entre la vision de l'organisation et le quotidien opérationnel, en te concentrant sur la croissance individuelle de tes teammates afin d'accompagner l'équipe dans sa montée en compétences Pilotage: Gérer le budget lié à l'équipe et à ses outils, en respectant le cadre de 2026 et en anticipant 2027 Assurer un schéma managérial Decathlon pour les membres de l'équipe : mission individuelle, Plan de Développement Individuel, ainsi que les revues de performance afin d'accompagner l'équipe dans sa montée en compétences Gérer le budget lié à l'équipe et à ses outils, en respectant le cadre de 2026 et en anticipant 2027 Offrir un cadre de travail permettant l'épanouissement et la progression de vos collaborateurs.

KyndrylHQI 72

This job is with Kyndryl, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edg

Bosch GroupHQI 85

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Key ResponsibilitiesData Analytics/Pyspark/Azure data bricksPipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader.Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain complianceOrchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory)Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelinesBig Data handling :Design and implement scalable data ingestion, transformation, and processing pipelines.Automate data collection, validation, and integration workflows.Ensure data quality, reliability, and governance across the data ecosystem.Interface with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party applications.Analyze structured and unstructured data to derive actionable insights and recommendations.Design experiments, evaluate data performance, and continuously improve solution effectiveness.Apply advanced analytics techniques to support business decision-making.Data Visualization & Business InsightsBuild intuitive dashboards and visualizations to communicate insights effectively.Translate technical findings into business-friendly recommendations.Support leadership teams with data-driven decision-making.AI, GenAI & Agentic SolutionsDesign and develop AI-powered applications using modern Large Language Models (LLMs).Build Agentic AI workflows and intelligent assistants for enterprise use cases.Implement Model Context Protocol (MCP)-based integrations and orchestration frameworks.Develop Retrieval-Augmented Generation (RAG) and enterprise knowledge solutions.Deployment, Cloud & InfrastructureDeploy AI and analytics solutions across cloud and on-premises environments.Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms.Containerize applications using Docker.Collaborate with infrastructure and DevOps teams to ensure production-grade deployments.Stakeholder Management & Technical LeadershipWork closely with business stakeholders to understand requirements and define solution roadmaps.Lead technical discussions and provide architectural guidance.Present complex technical concepts to both technical and non-technical audiences.Mentor junior team members and promote engineering best practices.  Required Technical SkillsData Science & AnalyticsMachine LearningStatistical ModelingPredictive AnalyticsData MiningFeature EngineeringModel Evaluation and OptimizationProgramming & DevelopmentPython (Mandatory)SQL (Mandatory)Strong scripting and automation skillsREST APIs and system integrationsVersion control systems (Git)Data EngineeringETL/ELT DevelopmentData Pipeline DesignData Warehousing ConceptsWorkflow AutomationStructured and Unstructured Data ProcessingData VisualizationPower BI, Tableau, Looker, or equivalent platformsDashboard DevelopmentData StorytellingCloud & InfrastructureAzure, AWS, or GCPDockerKubernetesCI/CD ConceptsSolution Deployment and MonitoringAI & Generative AILarge Language Models (LLMs)Claude, OpenAI, and related AI platformsAgentic AI FrameworksModel Context Protocol (MCP)Prompt EngineeringRAG ArchitecturesAI Application DeploymentQualificationsBachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.Master's Degree is an added advantage.8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains.Proven experience delivering end-to-end solutions from data acquisit Qualifications B.E Additional Information 6 to 8 years

GetYourGuideHQI 93

Change the way the world travels Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step. Team mission Within Growth Data Engineering - part of the strategic Flywheel Data Engineering group - our mission is to build the trusted data foundations and self-serve capabilities for the customer growth side of our marketplace . We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help GetYourGuide acquire and retain our customers . We achieve this through close partnership with Growth Analytics and Marketing teams , enabling teams to move faster with confidence. Your mission Own the data end-to-end: Deliver reliable, high-quality data solutions that enable growth decision-making across acquisition, conversion, engagement, and retention. Be a trusted thought partner: Work closely with Marketing, Analytics and Engineering to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities. Drive technical excellence in the stack: Lead system design for new capabilities and continuously evolve what's already in production — architecture, testing, observability, performance, and cost efficiency — with a bias toward simplicity, reusability, and maintainability . Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements. Level up the team and shape how we build: Raise the engineering bar through strong code reviews, design input, and hands-on support, and influence standards and technology choices with a focus on simplicity, reusability, and maintainability. Your toolkit Experience: 5+ years in a relevant data role. You've built and owned a data domain end-to-end — from source integration through to the models and metrics that downstream teams depend on Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences. Data engineering depth: Expertise in SQL & Python , building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g., Delta , Snowflake , PostgreSQL/MySQL ) with strong focus on data quality, accuracy, and reliability . Strong dbt proficiency and familiarity with Spark . Reporting & insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g., Jupyter ). Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and delivered outcomes. Autonomy & ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery. Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed. AI-first mindset: Uses modern AI tools to boost productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance Extras that give you an edge Growth-domain impact: You’ve delivered data products in growth and marketing adjacent domains (e.g., Retention, Channel Attribution, Brand, CRM) and thrive in complex, multi-stakeholder environments (Marketing, PMs, Analytics, Engineering). Software engineering craft: You are comfortable with Java/Scala , and you value clean code, solid testing habits, and pragmatic automation. AI & data intelligence impact : You've delivered AI capabilities — from LLM-powered discovery to automated insight generation, - including natural-language data access and semantic layer solution — that raises how quickly teams get to answers, and you can tell a durable use case from a demo. How we’ll make your career journey extraordinary Annual personal growth budget and mentorship programs for continuous learning and development Work from anywhere in the world for 30 days per year A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events Monthly transportation and fitness budget Discounts for you, your friends, and family on GetYourGuide activities Language reimbursement program Health and wellness benefits And more… How to apply Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘ how we hire ’ and ‘ life at GetYourGuide ’. If you have any further questions, please don’t hesitate to get in touch at [contact via application link] . We’re an equal opportunities employer Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. #LI-Hybrid

AccentureHQI 77

About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at www.accenture.com . Job Description: Join Accenture’s Data & AI practice and help build the next generation of AI‑ready data platforms on Databricks. We’re investing heavily to lead in GenAI, Data & AI, and we bring that momentum to real client outcomes across ANZ. As Accenture, we are Databricks’ largest partner and have earned Global GSI Partner of the Year recognition 7 years in a row (2019–2025) and APJ Industry Leader Partner of the Year 2025 You’ll work alongside one of the largest certified Databricks teams in ANZ, supported by a strong local bench and global delivery scale -designing, modernizing, and accelerating data journeys with proven assets and accelerators that move clients faster from strategy to implementation. Key Responsibilities Lead and mentor cross-functional data engineering teams to deliver end-to-end Databricks solutions. Collaborate with clients and SMEs to architect scalable, secure, and efficient data platforms. Own project delivery, stakeholder communication, and issue resolution across cloud data engagements. Enforce best practices around data governance, observability, and CI/CD pipelines. Drive innovation by evaluating emerging data technologies and promoting continuous learning. Key Skills Databricks & Lakehouse Expertise Expertise across Databricks Lakehouse Platform: Delta Lake & Delta Live Tables (DLT) Unity Catalog (governance, lineage, data sharing) Workflows & orchestration SQL Warehouses & AI/BI Genie capabilities AgentBricks for agentic AI orchestration Data + AI Platform Engineering Experience with GenAI on Databricks: Model Serving, Vector Search, and LLM integration patterns. Strong understanding of data product architectures, semantic layers, and domain-oriented data design. Engineering Excellence Advanced proficiency in Python, PySpark, and SQL for large-scale data processing. Strong experience in streaming (Structured Streaming), batch pipelines, and performance optimisation. Hands-on with CI/CD, DevOps, and Lakehouse-native deployment frameworks (e.g. Spark Declarative Pipelines and Declarative Automation Bundles). Cloud & Ecosystem Deep experience across cloud platforms (AWS, Azure, or GCP) and integration with enterprise data ecosystems. Familiarity with event-driven architectures, APIs, and Microservices integration. Leadership & Consulting Proven ability to lead large, distributed teams and deliver complex, multi-workstream programs. Strong stakeholder management with C-level engagement and strategic advisory capability. Experience in driving business outcomes through data and AI transformation programs. Benefits of working at Accenture: · 18 weeks paid parental leave · Long & short-term career break opportunities · Structured career development program · Local and international career opportunities. · Certified as a Family Inclusive Workplace™ · Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people. · We are proud to be in the top 3 of last year’s Diversity & Inclusion Index! We are a WORK180 Endorsed Employer, to see our benefits and policies click here All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career. Accenture is a an EEO and Affirmative Action Employee of Females/Minorities/Veterans/Individuals with Disabilities. Equal Employment Opportunity Statement for Australia: At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day. Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000. To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement. ​#LI_GM #LI-GM . About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement for New Zealand: At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

GetYourGuideHQI 89

Change the way the world travels Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step. Team mission Within Growth Data Engineering - part of the strategic Flywheel Data Engineering group - our mission is to build the trusted data foundations and self-serve capabilities for the customer growth side of our marketplace . We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help GetYourGuide acquire and retain our customers . We achieve this through close partnership with Growth Analytics and Marketing teams , enabling teams to move faster with confidence. Your mission Own the data end-to-end: Deliver reliable, high-quality data solutions that enable growth decision-making across acquisition, conversion, engagement, and retention. Be a trusted thought partner: Work closely with Marketing, Analytics and Engineering to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities. Drive technical excellence in the stack: Lead system design for new capabilities and continuously evolve what's already in production — architecture, testing, observability, performance, and cost efficiency — with a bias toward simplicity, reusability, and maintainability . Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements. Level up the team and shape how we build: Raise the engineering bar through strong code reviews, design input, and hands-on support, and influence standards and technology choices with a focus on simplicity, reusability, and maintainability. Your toolkit Experience: 5+ years in a relevant data role. You've built and owned a data domain end-to-end — from source integration through to the models and metrics that downstream teams depend on Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences. Data engineering depth: Expertise in SQL & Python , building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g., Delta , Snowflake , PostgreSQL/MySQL ) with strong focus on data quality, accuracy, and reliability . Strong dbt proficiency and familiarity with Spark . Reporting & insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g., Jupyter ). Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and delivered outcomes. Autonomy & ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery. Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed. AI-first mindset: Uses modern AI tools to boost productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance Extras that give you an edge Growth-domain impact: You’ve delivered data products in growth and marketing adjacent domains (e.g., Retention, Channel Attribution, Brand, CRM) and thrive in complex, multi-stakeholder environments (Marketing, PMs, Analytics, Engineering). Software engineering craft: You are comfortable with Java/Scala , and you value clean code, solid testing habits, and pragmatic automation. AI & data intelligence impact : You've delivered AI capabilities — from LLM-powered discovery to automated insight generation, - including natural-language data access and semantic layer solution — that raises how quickly teams get to answers, and you can tell a durable use case from a demo. How we’ll make your career journey extraordinary Annual personal growth budget and mentorship programs for continuous learning and development Work from anywhere in the world for 30 days per year A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events Monthly transportation and fitness budget Discounts for you, your friends, and family on GetYourGuide activities Language reimbursement program Health and wellness benefits And more… How to apply Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘ how we hire ’ and ‘ life at GetYourGuide ’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com . We’re an equal opportunities employer Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. #LI-Hybrid

ReckittHQI 72

This job is with Reckitt, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest qual

Allianz CommercialHQI 75

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Purpose of the Role The AI Lead is a senior technical leadership role responsible for driving the end-to-end delivery of AI and Agentic AI solutions. You will own the technical direction of AI projects, lead a team of AI Engineers, and serve as the bridge between business stakeholders, solution architects

CoupangHQI 81

Sr. Director, Data Science & Data Engineering - Search We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Role As the head of Data Science and Data Engineering within Search and Discovery, you will lead an organization responsible for understanding how customers are interacting with Search and Recommendations on Coupang and determine how to improve the Search and Discovery experience accordingly. This role works directly with both Search and Coupang leadership and requires the ability to both understand the extremely nuanced complexities of LLMs/Ranking models/statistics and communicate the corresponding strategic recommendations to the C-suite. What You Will Do • Lead a global 20-person organization composed of Data Scientists and Data Engineers, including directors • Provide guidance on how to optimize LLMs, Ranking models, personalization systems to improve customer outcomes • Lead the experimentation function, providing clarity on when launches help vs harm our customers, based on deep metrics synthesis • Partner with leads across different organizations to ensure Search is maximizing value for customers in all areas of the business What We’re Looking For Required Qualifications • 12+ years of experience in data science/analytics • 5+ years of experience in people management • Deep expertise in experimentation and statistics • Ability to communicate data concepts simply and succinctly to cross-functional team members, up to the C-suite • Understanding of ML concepts, and how different model configurations affect model outcomes Preferred Qualifications • Experience in e-commerce or marketplace environments • Experience leading global or multi-region teams • Experience building 0→1 products or new product surfaces • Background in fast-scaling consumer technology companies Pay & Benefits: Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $184,000/year in our lowest geographic market to $376,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits: • Medical/Dental/Vision/Life, AD&D insurance • Flexible Spending Accounts (FSA) & Health Savings Account (HSA) • Long-term/Short-term Disability • Employee Assistance Program (EAP) program • 401K Plan with Company Match • 18-21 days of the Paid Time Off (PTO) a year based on the tenure • 12 Public Holidays • Paid Parental leave • Pre-tax commuter benefits • MTV - [Free] Electric Car Charging Station General Description of Other Compensation: “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or reasonable accommodation in the application of recruiting process due to a disability, please contact us at [contact via application link] .

ADCI - KarnatakaHQI 77

Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities • Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. • Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. • Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. • Identifying data needs and driving data quality improvement projects. • Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. About the team The eCS Data Engineering and Analytics team are data experts that build and manage the data environment, generate insights, and develop solutions to enable data-driven decision making for eCS Organisation. The team’s key focus areas are gathering data requirements, setting up & owning business metrics, data integration, building dashboards & scorecards, and generating actionable insights for eCS stakeholders.