Data Engineer
IT & Technology Recruitment

Data Engineer Recruitment in Australia

Modern data platforms run or fall over on the quality of the engineers who build them. We recruit data engineers across Australia for product, analytics and ML teams — Snowflake, Databricks, dbt, Airflow, Spark and the rest of the stack.

Senior salary
$160k–$200k + super
Tools
Snowflake, Databricks, dbt, Airflow
Time to shortlist
10–14 days
01

What we screen for

SQL fluency, data modelling (dimensional, data vault, one-big-table), pipeline orchestration, testing discipline, and a real understanding of cost in cloud warehouses. We screen on these specifically — not generic Python questions.

02

Common briefs

Building a data platform from scratch, migrating from on-prem warehouses, scaling a dbt project that's outgrown its structure, or hiring the first data engineer into an analytics team.

03

Salary benchmarks

Mid-level: $130–160k + super. Senior: $160–200k + super. Lead / Principal: $200–240k + super. Contract day rates typically $1,000–1,500.

04

Why niche tooling matters

A Snowflake-experienced data engineer is a different hire from a pure Spark/Databricks engineer. We get specific so your shortlist actually maps to your stack.

Hiring for Data Engineer?

Brief us in 30 minutes. Shortlist within 7–14 days. Replacement guarantee on every placement.

Start the Conversation