Data Engineer - Fully Remote

**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.