What we know about this market

The modern data stack - dbt, Snowflake or BigQuery, Airflow or Dagster, Python - has become the standard for Australian scale-ups. Engineers with dbt experience and a strong understanding of data modelling are in high demand. Analytics engineers who can bridge the gap between data engineering and business intelligence are particularly scarce.

If you want to talk through how this affects your specific search - timing, competing offers, or how to position the role - book a call and we will give you a direct read on the current market.

How we engage for data engineers

Permanent placement

Targeted headhunt for senior data engineers on permanent contracts. Shortlists in five business days, every candidate interviewed by Filip, 12-month replacement guarantee.

Shortlist in 5 business days
Interviewed by Filip, not keyword-screened
12-month replacement guarantee
Senior Engineer Search →

Contract / Labour hire

Senior data engineers and analytics engineers for pipeline builds, data warehouse migrations, and data platform stand-ups. Strong dbt and cloud DW experience standard.

AUD $1,050–$1,400/day ex GST

IT Labour Hire →

Stacks we recruit for

PythonSQLdbtSnowflakeBigQueryDatabricksSparkAirflow / Dagster / PrefectKafka / KinesisFivetran / AirbyteLooker / Tableau / Power BI

Salary bands

Australian base salaries excluding superannuation. Figures are indicative — actual offers vary by company stage, location, and candidate seniority.

Senior Data Engineer (5-8 years)

$160k - $200k base

Staff Data Engineer

$200k - $240k base

Head of Data Engineering

$230k - $280k base

Download the full 2026 Australian Tech Salary Guide

Recent data engineers placements

Recent placements in this specialism available on request - we share specifics on intake calls rather than publishing them publicly.

FAQ

Do you recruit analytics engineers as well as data engineers?

Yes. Analytics engineers - who work primarily in dbt, SQL, and BI tooling - are a distinct role from data engineers who build pipelines. We recruit both.

What data warehouse platforms are most common among your clients?

Snowflake is the most common in the Australian scale-up market, followed by BigQuery. Databricks is increasingly present in companies with larger data science teams.