About the role

Data Engineer – Azure, Databricks, Power BI We’re looking for a hands-on Data Engineer to join a major HR & Payroll transformation programme for a large enterprise operating across Australia and New Zealand. This role will play a key part in building a unified reporting environment to support workforce, labour and payroll insights at scale.

You’ll be working in a modern Azure environment, using Databricks to ingest and transform data from multiple business systems, enabling accurate, accessible and automated reporting through Power BI. The architecture and requirements are already defined – your focus will be on delivery, pipeline development and helping shape clean data models for analytics.
 
What you’ll be doing

• Building and maintaining data ingestion and transformation pipelines in Azure Databricks (PySpark/SQL)
• Consolidating data from multiple HR, workforce and payroll platforms into a central Azure data environment
• Structuring and modelling data to support Power BI reporting and analytics
• Supporting the development of a scalable data lakehouse environment
• Ensuring data quality, reliability and consistency across the reporting landscape

What we’re looking for

• Strong hands-on experience with Azure + Databricks
• Skilled in PySpark, SQL and building end-to-end data pipelines
• Experience supporting or building reporting layers for Power BIExposure to HR, payroll or workforce management data is a bonus
• Strong understanding of data modelling concepts (lakehouse, star schema, semantic layers etc.)

Why this role?

• Meaningful work with real business impact
• Greenfield environment with modern tooling
• Clear scope and delivery focus Opportunity to influence a critical enterprise reporting foundation

If this sounds like the kind of challenge you're looking for, apply now or reach out for a confidential chat.