Senior Data Engineer
Job description
Tō kamupene hou | Your new company
Are you passionate about building modern data platforms from the ground up? We're partnering with a well-established New Zealand organisation undergoing a significant digital transformation, investing heavily in data, analytics, and cloud technologies to create a future-ready data ecosystem.
Tō tūranga hou | Your new role
This is an exciting opportunity for an experienced Senior Data Engineer to help shape and build a modern enterprise data platform powered by Microsoft Fabric. You'll play a key role in designing scalable data solutions, establishing robust data foundations, and enabling business users to access trusted insights through self-service analytics capabilities. The ideal candidate will have experience working in greenfield or early-stage data platform environments, where the focus has been on data ingestion, orchestration, governance, reliability, and establishing long-term architectural patterns.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using modern cloud-based technologies.
- Build and optimise data solutions supporting analytics, reporting, and advanced data workloads.
- Develop both batch and real-time data integration processes.
- Apply best-practice data modelling techniques to support enterprise reporting and analytics requirements.
- Implement and maintain data governance, lineage, metadata, and quality frameworks.
- Support Master Data Management (MDM) initiatives and data synchronisation processes.
- Collaborate with business stakeholders, analysts, and technology teams to deliver scalable and reusable data solutions.
Ngā uara me ngā pūkenga e angitu ai koe | What you'll need to succeed
- Proven experience working with cloud-based data platforms, ideally within Microsoft Azure environments.
- Strong SQL and data transformation experience.
- Hands-on experience with Microsoft Fabric, including data pipelines, lakehouse architectures, and semantic models.
- Experience building and supporting real-time or CDC-based data integration solutions.
- Strong understanding of modern data modelling approaches, including Data Vault methodologies.
- Experience with data governance, metadata management, and data quality frameworks.
- Familiarity with Master Data Management (MDM) concepts and platforms.
- Experience with Python, Spark, or similar data processing technologies.
Location: Te Puke (3 days work from office)
Interested candidates must be based in Taurage or willing to relocate
***Applicants must hold a valid New Zealand work visa***
Me aha koe ināianei | What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV to anuvarsha.arulbabu@hays.net.nz
#3011978
