3 month contract
Start ASAP (one stage interview)

We are looking for a Senior Data Engineer to join a Melbourne-based organisation supporting a critical data platform program.

Initial 3 month contract, so we are ideally looking for someone who can start immediately.

This is a hands-on, behind-the-scenes data engineering role. You'll build and run the pipelines that bring data in, shape it, and make it reliable for the teams that depend on it - with real depth expected in the higher transformation and data modelling layers in Snowflake, not just raw ingestion.

Key responsibilities
Build and maintain data ingestion pipelines from source systems into Snowflake
Develop, test and document dbt models that turn raw data into clean, well-modelled, business-ready datasets
Build, schedule and monitor workflows in Airflow
Keep pipelines reliable, performant and cost-effective in Snowflake




Troubleshoot data issues and fix them at the source
Work closely with fellow engineers and leads to deliver against program priorities

Must have
Solid commercial experience with Snowflake, including optimising the higher data transformation layers
Strong commercial experience with dbt (models, tests, macros, incremental builds)
Solid experience building and running Airflow DAGs in production
Solid data modelling experience (dimensional modelling, SCD patterns or similar) - comfortable owning the transformation layer, not just ingestion
Proven data ingestion and transformation experience across multiple source systems
Solid SQL and Python
Comfortable working independently and getting productive quickly on a short engagement

📌 Senior Data Engineer Melbourne
🏢 iterate
📍 Melbourne