Data Engineer
from 🇳🇿 New Zealand
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 afull-time, long-term contract engagement retained on amonthly 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.








