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Data Engineer

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Summary

Contract Data Engineer on a Queensland Government digital transformation building a new cloud-based approvals platform. Day-to-day: building Azure-based data pipelines (Data Lake, Databricks), engineering large-scale migration/integration solutions, and lifting data quality with strong SQL, with Fabric/Purview exposure desirable.

About the role

Join a high-profile Queensland Government digital transformation delivering a new, cloud-based approvals platform. This Data Engineer contract will suit someone who thrives in complex programs—where data foundations, migration readiness, and governance matter.

Key Responsibilities

  • Build and optimise scalable Azure-based data pipelines (lakehouse-style patterns where appropriate)
  • Engineer robust solutions for migration and integration across large/complex datasets
  • Partner with delivery teams to uplift data quality, reliability, and performance using strong SQL

Highly desirable criteria

  • Proven experience supporting a platform replacement program—ideally involving Appian and/or Dynamics 365 (e.g., migrating workflows/process-led platforms and ensuring data alignment, cutover readiness, and reporting continuity)
  • Demonstrated success in large-scale migration initiatives where there’s pressure on auditability, traceability, and data integrity (government/regulated environments highly regarded)

Desirable criteria

  • Hands-on exposure to Microsoft Fabric (e.g., Lakehouse/Warehouse, Data Factory in Fabric, pipelines) and an understanding of when to use it vs Databricks/Azure-native services
  • Strong appreciation for data governance and discovery using tools such as Microsoft Purview (cataloguing, lineage, access controls)
  • Experience designing data solutions with security and compliance front of mind (role-based access, sensitive data handling, documentation discipline)
  • Familiarity with cutover planning and supporting release cycles (UAT support, defect triage, reconciliation checks, post-go-live stabilisation)

Skills and experience

  • Azure + Data Lake + Databricks, plus strong SQL engineering capability
  • Track record delivering within complex programs with clear communication and stakeholder engagement

Skills

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See also

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