Data engineers who build platforms people trust.

We recruit data engineers, data architects and platform leads who design reliable pipelines and modern lakehouses, for permanent and contract roles across Australia.

Great data engineers are hard to spot on paper.

Every CV lists Spark, SQL and the cloud. What separates great data engineers is how they model data, handle failure, test pipelines and keep costs under control.

We screen for exactly that, drawing on hands-on experience building data platforms in financial services, healthcare, energy and government.

Data roles we recruit

  • Data engineers, from mid-level to principal
  • Analytics engineers
  • Data architects and solution architects
  • Data platform engineers and platform leads
  • Data integration and ETL specialists
  • Data migration specialists

Skills we screen for.

Lakehouse

Modern data platforms

Databricks, Snowflake, Microsoft Fabric and BigQuery, plus open table formats such as Delta Lake and Iceberg.

Pipelines

Batch and streaming

Spark, Kafka, Airflow, Azure Data Factory, AWS Glue, dbt and event-driven ingestion.

Quality

Engineering discipline

Testing, CI/CD for data, infrastructure as code, observability and cost management.

PythonSQLApache SparkDatabricksSnowflakeMicrosoft FabricdbtAirflowKafkaAzure Data FactoryAWS GlueTerraform

Looking for a data engineering role?

Whether you're after your first senior role or your next principal position, we'll match you with teams doing interesting data work.

And we'll tell you honestly how your experience compares with what the market wants right now.

We can help you

  • Find permanent and contract data engineering roles
  • Understand current salaries and day rates
  • Prepare for technical and system design interviews
  • Present your projects clearly on your CV

Register your CV

Common questions.

What does a data engineer do?

A data engineer designs, builds and maintains the pipelines and platforms that move data from source systems into a form analysts, applications and AI models can use. The role spans ingestion, transformation, modelling, data quality, performance and cost.

Which data platforms are most in demand in Australia?

Databricks, Snowflake and Microsoft Fabric are widely used across Australian organisations, typically on Azure or AWS, with Python, SQL, Spark and dbt as core skills.

Do you recruit contract data engineers?

Yes. We place contract data engineers for migrations, new platform builds and delivery peaks, as well as permanent hires.

How do you assess data engineers?

We discuss real projects in depth: the architecture, data volumes, trade-offs made, how quality was tested and how the platform ran in production. That reveals far more than a list of tools.

Hiring data engineers?

Tell us about the platform and the team. We'll share what the market looks like and how we'd find the right person.