Data Engineer (New Zealand – Remote)
Full-time Contract | NZD 8,000–10,000/month | 6 months initial term

Please note:

• This is not an hourly-rate or daily-rate contract.

• This is a full-time commitment for the duration of the contract.

• Candidates should be comfortable working within this monthly compensation structure.

About the role

We’re looking for a mid-level Data Engineer (5+ years experience) based in New Zealand to join the data team of one of our established Australian technology clients. They’re in the middle of a major uplift of their data platform and need an additional strong contributor to help complete the work and keep things moving.

This is a full-time, long-term contract engagement retained on a monthly basis — not an hourly or daily contract arrangement. The initial term is six months, with strong potential to extend.

You’ll join a highly capable internal team and contribute immediately, helping close out a critical migration while supporting the broader data ecosystem.

The main focus is completing the final phase of a migration into Databricks and fully retiring the remaining legacy MySQL environment. Earlier migration stages from Athena and Redshift have already been completed.

The team works Australian business hours, making this a strong fit for candidates in New Zealand.

What you’ll be doing

• Completing the migration of the final legacy MySQL datasets into a modern Databricks environment.

• Building and maintaining pipelines across Databricks, Fivetran (including reverse ETL), DBT, and Airflow.

• Handling full data engineering responsibilities — ingestion, pipeline reliability, performance optimization, and infrastructure maintenance.

• Supporting the clean retirement of legacy systems without impacting downstream consumers.

• Working closely with a senior internal team and owning work independently.

• Identifying risks early and maintaining clear documentation.

What you’ll need

We’re looking for someone with strong hands-on data engineering experience who has worked through platform migrations before.

• 5+ years of data engineering experience.

• Strong Databricks experience.

• Hands-on experience with Fivetran (including reverse ETL), DBT, and Airflow.

• Experience migrating or retiring legacy systems like MySQL.

• Strong understanding of data pipelines, ingestion frameworks, and platform reliability.

• Comfortable working within an existing architecture and improving it.

• Strong communication skills and ability to collaborate across technical and non-technical teams.