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03 / Discipline - Specialist Search

Data Engineering

Data, analytics and platform engineers - for the pipelines and warehouses your business actually runs on.

What We Place

The roles we run, by level.

  • Senior Data & Analytics Engineers
  • Data Platform Leads & Heads of Data
  • ML Data Infrastructure Engineers
  • Streaming & Real-time Data Engineers
  • Analytics Engineers (modern stack)
  • Stack: dbt, Snowflake, Databricks, Airflow, Spark, Kafka

Where The Talent Sits

The pools we actually source from.

  • Modern-stack consultancies (Servian, Stax, Mantel Group)
  • Cloud-native scale-ups with mature data practices
  • Big-tech data org alumni (Atlassian, Canva, Afterpay)
  • Specialist platforms: Databricks, Snowflake, Confluent ANZ
  • PhDs and applied-stats backgrounds in lakehouse architectures

Geographies

Sydney and Melbourne primary. Remote-Australia common across the modern stack.

Comp Bands (2026)

Senior IC: $180k - $280k base. Platform Leads: $230k - $340k base. Heads of Data: $300k - $420k base + bonus + equity.

Median Brief - Signed

21 days. 90% of mandates close from the first shortlist.

How We Run The Search

Four steps. Twenty-one days.

01

Brief

90 minute working session. Scorecard signed off before any outreach.

02

Search

Direct outreach across APAC, EMEA and US. 200-400 named engineers per mandate.

03

Shortlist

3-5 calibrated candidates, each with a one-page technical memo.

04

Close

Pre-closed comp, counter-offer coaching, replacement guarantee.

Recent Data Searches

Indicative of where we run.

Indicative samples drawn from recent and active mandates. Specific clients available under NDA on request.

Further reading

Related insights.

Salary

Data Engineering Compensation Trends

Market Signals

Tech Hiring in Australia: Q1 2026 Monthly Snapshot

Hiring Process

What a Structured Intake Call Should Actually Cover

Submit a brief

Run a structured Data search.

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

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