Senior Data Engineer - Snowflake/dbt | 3-Month Contract

Iterate; Melbourne; On-site; AUD 120,000 - 160,000; Full time

Job summary

Iterate in Melbourne is seeking a Senior Data Engineer to join a critical data platform program on a 3-month contract. You will build and run the pipelines that bring data in, shape it, and make it reliable for the teams that depend on it.

The role requires hands-on work with Snowflake, dbt models, and Airflow, plus strong data modelling experience and solid SQL and Python. You will work independently and contribute quickly on a short engagement in a fast-paced environment.

Qualifications

• Strong commercial experience with Snowflake, including optimising the higher data transformation layers.
• Strong commercial experience with dbt (models, tests, macros, incremental builds).
• Strong 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.

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-efficient in Snowflake.
• Troubleshoot data issues and fix them at the source.
• Work closely with fellow engineers and leads to deliver against program priorities.

Skills

SQL

Python

Data modelling

Independent work

Snowflake

dbt

Airflow

Tools

Snowflake

dbt

Airflow

Job description

Iterate in Melbourne is seeking a Senior Data Engineer to join a critical data platform program on a 3-month contract. You will build and run the pipelines that bring data in, shape it, and make it reliable for the teams that depend on it.

The role requires hands-on work with Snowflake, dbt models, and Airflow, plus strong data modelling experience and solid SQL and Python. You will work independently and contribute quickly on a short engagement in a fast-paced environment.