Senior Data Engineer -(Contract)

Iterate; Melbourne; On-site; AUD 110,000 - 140,000; Full time

Job summary

iterate is seeking a Senior Data Engineer in Melbourne to build and run data pipelines that ingest, transform and validate data for a critical platform. You will implement robust dbt models, manage Snowflake transformations and monitor Airflow workflows.

The role emphasizes hands-on data engineering, with deep focus on transformation layers and cost-efficient operations on a short-term contract. Immediate start is preferred.

Qualifications

• Proven data engineering experience with Snowflake or a comparable data warehouse.
• Proficient in dbt models, tests, macros and incremental builds.
• Solid data modelling experience (dimensional modelling, SCD patterns).
• Experience across multiple source systems for data ingestion and transformation.
• Strong SQL and Python skills.

Responsibilities

• Build and maintain data ingestion pipelines from source systems into Snowflake.
• Develop, test and document dbt models turning raw data into clean 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.
• Collaborate with engineers and leads to deliver program priorities.

Skills

SQL

Python

Data modelling

Dimensional modelling

SCD patterns

Independent worker

Tools

Snowflake

dbt

Airflow

Job description

• 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-efficient 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

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