Senior Data Engineer recruitment in Melbourne.

Re:Sourced runs structured search for senior data engineers in Melbourne. Median 21 days from intake to signed offer, 90-day replacement guarantee, calibrated against an active network of senior engineers across the ANZ market.

The role

What a senior data engineer in Melbourne actually does.

Builds and operates data pipelines, warehouses and platforms. Common stacks: Snowflake or BigQuery, dbt, Spark, Kafka, Airflow. Senior data engineers typically own a domain (finance data, customer data, ML data) end to end. Distinct from analytics engineering (closer to the business) and data platform engineering (deeper infra).

In Melbourne, senior data engineer hiring concentrates around the city's deepest engineering employers - listed financial services, AI-native scale-ups, fintech and the platform/infrastructure tail. Hybrid is the dominant pattern; full-remote is increasingly negotiated for senior IC roles.

Salary band 2026

What you should pay this role.

Bands below are calibrated against active Re:Sourced searches in Melbourne for 2026. Base only; total compensation typically runs 20-50% above base when equity is structured well.

Tier	Low	High
Senior IC	AUD 175k	AUD 235k
Total comp range	AUD 210k	AUD 315k

For a calibrated read on a specific brief, including named-employer comp data, submit a brief.

How we hire

Re:Sourced process.

Structured intake call: 30 minutes, brief calibrated against active candidates
Calibrated shortlist within 72 hours of the intake call
Median 21 days from intake to signed offer for senior IC roles
90-day replacement guarantee on every permanent placement
No fee until placement

Related recruitment.

Submit a brief

Hire your next senior data engineer.

30 minute working session. No fee until placement. Replacement inside 90 days.

Submit a brief