Business Intelligence Analytics Engineer

2 weeks ago

Brisbane, Queensland, Australia Hudson Full time $219,200 per year
  • Initial contract until Nov 2025 | Flexible working arrangements
  • Up to $106/hour + super | Large established program
  • dbt | Data Vault 2.0 | Databricks | Python

This pay rate is inclusive of mandatory 25% casual loading

Our QLD Government client is currently seeking Business Intelligence Analytics Engineer to join an established program of work to implement a new contemporary and coordinated case management system. In this role you will create and manage BI and analytics solutions within a Data Lakehouse that will be used to visualise information and support analytical needs in the various organisational areas within the Department.

This is an opportunity to join an innovative program to provide new integrated legislation, practice and performance frameworks and business processes, enabled by technology and underpinned by a human-centered design approach.

What you will do:

  • Design, develop, and maintain data models in dbt for structured, scalable analytics using Data Vault 2.0 methods
  • Build and optimise data pipelines
  • Work closely with data platform engineers, analysts, and business stakeholders to improve data accessibility and usability
  • Optimise queries for performance and efficient creation of data products
  • Implement best practices for data quality monitoring and automation
  • Modelling data, datasets, and data products
  • Contribute to Data Lakehouse content and supporting processes
  • Other governance documentation as required.

What you'll bring to the role:

  • 2+ years of Databricks experience
  • Demonstrated experience in analytics engineering, data engineering, or BI development
  • Understanding of data modelling, governance, and performance optimisation
  • Excellent communication and team skills
  • Experience in Azure and an understanding of modern data platforms
  • Analytical mind with a problem-solving aptitude
  • Data engineering capability
  • Experience working in Databricks, including using Python
  • Understanding of Data Lakehouse principals
  • Experience in Data Vault 2.0 modelling methods
  • Experience work in Agile teams
  • Microsoft Power BI experience using DAX, Power Query
  • Development of Azure Data Factory pipelines, mapping, and wrangling dataflows.

HOW TO APPLY:

Please submit your resume for consideration via the appropriate link. A cover letter demonstrating your relevant experience may also be reviewed.

Should you wish to discuss, please contact Jemma Walker at ************ quoting reference number: Your interest will be treated in the strictest of confidence.

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