Senior Data Engineer

• Hybrid flexible work
• Initial contract with scope to convert to permanent
• Join a growing Data team, high impact, tech transformation

Senior Data Engineer – Databricks
3–6 Month Contract
Melbourne / Hybrid
$750-900 a day including super

Our client is a leading Australian organisation undergoing an exciting period of data and technology transformation. They’re looking for a Senior Data Engineer to join their team on an initial 3–6 month contract, with the opportunity to make a genuine impact across their modern data platform.

You’ll play a key role in designing and delivering scalable data integration, analytics and reporting solutions, working across a modern Azure and Databricks environment.

The Role You’ll be hands-on across the data engineering lifecycle, taking ownership of data ingestion, transformation and modelling while helping evolve the organisation’s data architecture.

Key responsibilities include:

• Design and develop modern data engineering solutions across Microsoft Azure, with a strong focus on Azure Databricks, Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)
• Build and maintain reliable, secure and high-performing data pipelines
• Develop robust data transformations using PySpark, Databricks SQL, SQL and Python
• Design and implement curated analytical and dimensional data models
• Onboard and integrate new data sources and external partners
• Contribute to the evolution of lakehouse and data warehouse architecture
• Work closely with data engineers, analysts and business stakeholders to translate requirements into scalable technical solutions
• Support data quality, reliability and performance across production environments
• Contribute to CI/CD, data governance, security and engineering best practices
• Balance project delivery with BAU support and proactively resolve production issues

About You
We're looking for a senior-level Data Engineer who is comfortable working in a production environment and can hit the ground running.
You'll ideally have:

• Strong commercial experience as a Senior Data Engineer
• Extensive hands-on experience with Azure Databricks, Azure Data Factory and ADLS
• Strong skills across SQL, Python, PySpark and Databricks SQL
• Experience building scalable data warehouses, lakehouses and dimensional data models
• Experience with Azure DevOps and CI/CD pipelines
• A strong understanding of data quality, performance, reliability and production support
• Experience integrating and onboarding new data sources
• The ability to work effectively with both technical and non-technical stakeholders
• Strong communication skills and the confidence to take ownership of technical solutions
• An understanding of cloud security, access controls, data governance and analytics architecture

The Opportunity

• 3–6 month initial contract
• Melbourne based
• Hybrid working
• Modern Azure + Databricks data environment
• Opportunity to work on meaningful data transformation initiatives
• Senior-level ownership and exposure across data engineering and architecture

If you're a Senior Data Engineer with strong Azure Databricks experience and you're available for a new contract opportunity in Melbourne, we'd love to hear from you.