Business Intelligence Analytics Engineer - Data Lakehouse & Databricks

Our client is currently seeking an experienced Analytics Engineer to join a high-impact digital transformation program focused on improving outcomes for children, young people, and families in Queensland. This role offers the opportunity to work on a contemporary Data Lakehouse architecture and support the delivery of scalable, insights-driven solutions.

WHAT YOU WILL BE DOING:

• Design and develop data models using dbt and Data Vault 2.0 methods.
• Build and optimise data pipelines across a modern data platform.
• Collaborate with engineers, analysts, and business stakeholders to deliver accessible and performant data products.
• Ensure data quality through automated monitoring and governance processes.

REQUIRED:

• 2+ years of Databricks experience in a professional setting.
• Solid background in analytics engineering, data engineering, or BI development.
• Experience working with Azure, Power BI (DAX, Power Query), and Azure Data Factory.
• Strong grasp of data modelling, governance, and performance optimisation.
• Excellent communication and problem-solving skills.

DESIRABLE:

• Python scripting within Databricks.
• Familiarity with Data Lakehouse principles.
• Experience working in Agile environments.

WHY APPLY:

Join a government-backed reform program delivering real change through data and technology. This is a unique chance to work on a modern Azure-based analytics environment and contribute to meaningful public sector transformation.

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Jack McDougall 07 3339 5611 or email: [email protected] and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.