Senior Data Engineer
NewBe an early applicantSummary
Senior Data Engineer responsible for designing and delivering scalable data integration and analytics solutions using Azure and Databricks. Role involves hands-on data ingestion, transformation, and modelling with PySpark and SQL.
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:
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:
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
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
- 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
