Data Engineer

Davidson; City of Brisbane; Hybrid; AUD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid work arrangement

Onsite onboarding during initial weeks

Job summary

Davidson is seeking an experienced Data Engineer to drive a major legacy data migration to Microsoft Fabric and dbt. You will design and implement production pipelines across Fabric, OneLake, Data Factory, Warehouse, and Lakehouse, focusing on robust, maintainable solutions.

The role requires hands-on development, strong SQL, and production-oriented DevOps practices. Expect hybrid work with some onsite onboarding in Brisbane CBD during the initial period.

Qualifications

• Hands-on experience delivering Microsoft Fabric and dbt into production environments.
• Strong production Microsoft Fabric experience across OneLake, Data Factory, Warehouse and Lakehouse.
• Demonstrated production dbt development and deployment experience, including modular models and testing.
• Advanced SQL skills and strong practical data engineering capability.

Responsibilities

• Design, build and support migration of legacy data assets into Microsoft Fabric.
• Profile and map legacy data sources and reverse engineer ETL logic.
• Build production pipelines across Fabric, OneLake, Data Factory, Warehouse and Lakehouse.

Skills

SQL

Data engineering

Cloud data platforms

CI/CD

Tools

Microsoft Fabric

dbt

OneLake

Data Factory

Warehouse

Lakehouse

Job description

• 3 days per week in Brisbane CBD office, must be willing to be onsite full-time for onboarding (usually 2-3 weeks)
• Previous experience in Government is highly desirable
• Interstate commuting won't be considered - interstate candidates must be open to relocate prior to commencement

The Opportunity

An opportunity is available for an experienced Data Engineer to deliver a significant legacy data migration and modernisation initiative, moving existing data assets into Microsoft Fabric and establishing sustainable production data engineering practices. Working through to 30 June 2027 with potential extension, you will take a hands-on role across Fabric, OneLake and dbt, with a strong focus on production implementation rather than conceptual design or prototyping.

About the Role

This is a hands-on engineering role responsible for designing, building and supporting the migration of legacy data assets into Microsoft Fabric.

Profile and map legacy data sources and reverse engineer existing ETL and stored procedure logic.

Design and deliver production solutions across Fabric, OneLake, Data Factory, Warehouse and Lakehouse.

Build secure, maintainable ingestion and orchestration pipelines for production workloads.

Rebuild transformation logic as modular, testable and maintainable dbt models.

Implement automated testing, data quality controls, monitoring, Git-based version control and CI/CD.

Reconcile migrated data, troubleshoot production issues and maintain reporting continuity throughout migration.

About You

To succeed, you will need recent, demonstrable hands-on experience delivering Microsoft Fabric and dbt solutions into production environments.

Strong production Microsoft Fabric experience across OneLake, Data Factory, Warehouse and Lakehouse.

Demonstrated production dbt development and deployment experience, including modular models and testing.

Advanced SQL skills and strong practical data engineering capability.

Experience migrating legacy data platforms into modern cloud-based data environments.

Strong Azure DevOps, Git and CI/CD experience for controlled production deployments.

Ability to troubleshoot production issues and explain technical decisions and trade-offs to senior stakeholders.

The Benefits

This engagement offers the opportunity to own a substantial modern data platform migration from engineering through to production.

Contract through to 30 June 2027 with potential extension (scope to extend 3x 1 year).

Hands-on Microsoft Fabric and dbt implementation within a production environment.

Deliver an end-to-end legacy-to-cloud data migration with tangible production outcomes.

• Hybrid working with 3 days per week in Brisbane CBD*

*The first 2-3 weeks will likely have to be full-time onsite for onboarding