Data Engineer — Build scalable data pipelines

Randstad; Christchurch; On-site; NZD 103,000 - 135,000; Full time

Benefits offered by this job

5 weeks annual leave

15 days sick leave

Flexible working arrangements

Reward and Recognition Framework

Professional development opportunities

Employee-led networks

Job summary

WorkSafe New Zealand is seeking a Data Engineer to design, build, and maintain data infrastructure and pipelines across the organisation. You will collaborate with the Data, Analytics and AI team to ensure reliable data for reporting and decision-making.

You will develop robust data processing, implement governance controls, and work with Azure Synapse and PySpark in a cloud environment to support secure data platforms.

Qualifications

• Degree or diploma in IT is required.
• Experience with data storage solutions (warehouses/data lakes) on cloud platforms.
• Experience developing ETL/ELT processes for reliable data flow.

Responsibilities

• Design, build and maintain data infrastructure, including pipelines and storage solutions.
• Develop and optimise data pipelines for ETL/ELT to ensure efficient data processing.
• Ensure data quality and integrity with validation, cleansing, and reconciliation processes.
• Monitor and maintain data platforms for performance, reliability, and security.
• Support data governance, security and access controls to protect sensitive information.

Skills

ETL/ELT processes

Cloud platforms

Data modelling

Data warehousing

Governance & security

Communication & collaboration

Azure Synapse

PySpark

Education

Degree/Diploma in IT

Associate Degree/Diploma

Tools

Azure Synapse

PySpark

Job description

WorkSafe New Zealand is seeking a Data Engineer to design, build, and maintain data infrastructure and pipelines across the organisation. You will collaborate with the Data, Analytics and AI team to ensure reliable data for reporting and decision-making.

You will develop robust data processing, implement governance controls, and work with Azure Synapse and PySpark in a cloud environment to support secure data platforms.