Data Engineer

Looking to take your data engineering career to the next level? This is an opportunity to join a purpose-driven public sector organisation investing in its data capabilities, where you can contribute to meaningful projects while
developing your expertise across modern Azure and Databricks technologies.

You’ll join a Data, Analytics and AI team responsible for building and maintaining the data foundations that support reporting, analytics and organisational decision-making. Working alongside data analysts, architects, engineers and business stakeholders, you’ll help deliver reliable, secure and scalable data solutions while having plenty of opportunity to grow your technical skills.

The opportunity As a Data Engineer, you’ll play a key role in designing, building and maintaining the data infrastructure that enables the organisation to make better use of its information. You’ll develop and optimise data pipelines, improve data quality and reliability, and help ensure data is accessible, secure and fit for purpose.

This is a great opportunity for someone with solid data engineering fundamentals who wants to deepen their cloud experience, work with modern data technologies and contribute to the ongoing improvement of enterprise data platforms.

What you’ll be doing

• Design, build and maintain data pipelines and storage solutions to support reliable and secure access to data.
• Develop and optimise ETL/ELT processes to improve data availability, performance and scalability.
• Implement data quality checks, validation, reconciliation and error-handling processes.
• Monitor and maintain data platforms to ensure performance, reliability and operational stability.
• Collaborate with analysts, architects and technical teams to translate business requirements into effective data solutions.
• Support data governance, security and access controls.
• Identify opportunities to automate processes and improve data engineering practices.

What you’ll bring

• Experience designing, building and maintaining data pipelines in a production environment.
• Strong ETL/ELT development and optimisation skills.
• Experience with data warehouses, data lakes or cloud-based data platforms.
• Knowledge of data modelling, database management and data quality practices.
• An understanding of data governance, security and responsible information management.
• Strong communication skills and the ability to collaborate across technical and business teams.
• A proactive approach to problem-solving, continuous improvement and delivering quality outcomes.

Experience with Azure Synapse and PySpark would be advantageous. Exposure to Databricks or other modern cloud data technologies is welcome, with the opportunity to further develop your skills in this space.
Why consider this opportunity?

• Develop your technical skills: Build experience across modern Azure data technologies and Databricks, with opportunities to grow your cloud data engineering capability.
• Make a meaningful impact: Help strengthen the data foundations supporting important organisational decisions.
• Collaborate and learn: Work alongside analysts, engineers and other technical specialists in a team that values respect and different perspectives.
• Enjoy flexibility: Wellington-based role with flexible hybrid working.
• Grow your career: Take ownership of meaningful engineering work and contribute to the continuous improvement of data platforms and processes.

If you’re a Data Engineer looking for a role that combines meaningful work, technical development and the opportunity to work with modern cloud data technologies, we’d love to hear from you.

Apply today or contact Jaymin Southee on 044999471 or jaymin.southee@h2r.co.nz for more information.

This role is Wellington only and all applicants require valid working rights.