Production Data Engineer: Fabric & dbt (Brisbane, Hybrid)

Davidson; Brisbane; Híbrido; AUD 140 000 - 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work arrangement

Onsite onboarding during initial weeks

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

SQL

Data engineering

Cloud data platforms

CI/CD

Ferramentas

Microsoft Fabric

dbt

OneLake

Data Factory

Warehouse

Lakehouse

Descrição da oferta de emprego

Initial contract til 30th June 2027

Up to $893 + Superannuation

3 days per week in Brisbane CBD office, must be willing to be onsite fulltime for onboarding (usually 2-3 weeks)

Previous experience in Government is highly desirable


About the Opportunity

Join a significant data modernisation initiative focused on migrating legacy data assets onto Microsoft Fabric and establishing a modern, governed and maintainable data platform. This is a hands-on engineering role where you will move data into OneLake, reverse engineer complex legacy SQL and ETL, rebuild transformation logic in dbt and establish the automation, testing and documentation needed for the platform to operate successfully beyond go-live.


About the Role

You will take ownership of core migration and transformation activities, working across legacy platforms and the new Microsoft Fabric environment.

• Profile legacy databases, stored procedures, jobs and downstream dependencies.
• Migrate data into OneLake using Fabric Data Factory, mirroring and appropriate ingestion patterns.
• Reverse engineer complex SQL and rebuild legacy ETL/stored procedures as modular dbt models.
• Build dbt sources, staging models, business logic and reporting marts across Fabric.
• Reconcile legacy and migrated datasets and implement automated data quality testing.
• Establish Git-based CI/CD, deployment pipelines, monitoring and environment management.

About You

You will be an experienced Data Engineer who combines strong SQL and migration capability with genuine hands-on experience across Microsoft Fabric and dbt.

• Proven delivery of legacy database migrations to modern cloud data platforms.
• Strong hands-on dbt experience across models, tests, macros, snapshots and documentation.
• Advanced SQL skills, particularly reverse engineering and modularising stored procedures.
• Microsoft Fabric experience across OneLake, Warehouse/Lakehouse and Data Factory pipelines.
• Strong dimensional modelling, reconciliation, data quality and layered warehouse experience.
• Git and CI/CD experience using Azure DevOps or GitHub for automated data deployments.

The Benefits

• Brisbane-based contract with hybrid arrangements.*
• Hands-on ownership across Microsoft Fabric, dbt, migration, automation and data quality.
• Opportunity to establish engineering practices that remain in place beyond the engagement.

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

How to Apply

Please submit your current resume to apply. If you'd like a confidential discussion about the role, please contact Nina Magill on [e-mail], quoting reference JN -092026-44175. To learn more about Davidson, visit davidsonwp.com.