Our Queensland Government client is currently seeking a hands-on Data Engineer with strong experience in Microsoft Fabric and Azure to design, build and operate secure, reliable data pipelines and products within their emerging Enterprise Data Platform (EDP). This role partners closely with data governance (including Microsoft Purview) to deliver privacy-by-design ingestion, high-quality curated datasets, and performant semantic models for analytics and reporting. As the Data Engineer you will build ingestion and transformation across Bronze/Silver/Gold layers, run and interpret Purview scans, apply classifications, and automate deployment and monitoring so data products are repeatable, auditable and cost-effective. In this role you will: Build and operate pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks/Spark, Lakehouse/OneLake, SQL Endpoints) and relevant Azure services where required. Implement medallion architecture (Bronze/Silver/Gold), dimensional/semantic models for Power BI, and reusable data products aligned to enterprise standards. Execute and schedule metadata-only discovery in Microsoft Purview, apply classifications/sensitivity labels, register assets, and ensure lineage from source to insight. Implement data quality checks, validation rules and automated tests; maintain technical docs, runbooks and data dictionaries. Configure alerting, logging and Operations dashboards; triage incidents; tune performance and storage; optimise compute schedules. Work with data stewards, custodians, analysts and product owners to deliver prioritised use cases; participate in backlog refinement, stand-ups and reviews. Contribute to engineering patterns, templates and accelerators; adhere to enterprise policies, naming conventions and coding standards. What you’ll bring to the role: 5 years in data engineering (or equivalent), delivering production-grade pipelines and curated datasets in enterprise environments. Demonstrated experience with Microsoft Fabric (Pipelines/Dataflows Gen2/Notebooks, Lakehouse/OneLake, SQL Endpoints) and strong SQL and PySpark skills. Practical experience with Azure data services (e.g., Azure Data Factory/Synapse/Databricks—exposure acceptable if primary is Fabric). Hands-on experience with Microsoft Purview: configuring/scheduling scans, managing collections, glossary/lineage, and applying classifications/sensitivity labels. Familiarity with medallion architecture (Bronze/Silver/Gold), dimensional modelling, and serving to Power BI. CI/CD with Azure DevOps (pipelines, environments, approvals); Infrastructure-as-Code exposure (Bicep/Terraform) is desirable. Strong grasp of security and privacy fundamentals (RBAC, managed identity, data masking, audit logging) and data quality practices. 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 Jemma.Walker@hudson.com quoting reference number: 249957. Your interest will be treated in the strictest of confidence. Diversity, Equity & Inclusion at Hudson Hudson is committed to helping you find a workplace where you feel respected, supported, and free to thrive. We welcome applications from all backgrounds, identities, and lived experiences—because when different voices come together, amazing things happen. Casual Loading Please note for all Australian based contract and temporary roles only, the pay rate is inclusive of mandatory 25% casual loading. This excludes permanent and fixed term roles.