Our client is a leading Australian organisation undergoing an exciting period of data and technology transformation.
They're looking for aSenior Data Engineerto join their team on an initial3–6 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 modernAzure and Databricksenvironment.
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 acrossMicrosoft Azure, with a strong focus onAzure 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 usingPySpark, 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 aSenior Data Engineer
Extensive hands‐on experience withAzure Databricks, Azure Data Factory and ADLS
Robust skills acrossSQL, Python, PySpark and Databricks SQL
Experience building scalabledata warehouses, lakehouses and dimensional data models
Experience withAzure 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
Opportunity to work on meaningful data transformation initiatives
Senior‐level ownership and exposure across data engineering and architecture
If you're aSenior Data Engineer with strong Azure Databricks experienceand you're available for a new contract opportunity in Melbourne, we'd love to hear from you.
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📌 Senior Data Engineer (Melbourne)
🏢 Talent Insights Group
📍 Melbourne