The positions are initially sought for a period of three (3) months with a three (3) month extension option. Any potential extension will be subject to business need and ongoing budget funding. Successful candidates are sought for immediate commencement.
What's in it for you?
- Opportunity to work on a modern Microsoft Fabric data platform
- Hands-on delivery role with end-to-end data engineering ownership
- Exposure to enterprise-scale Lakehouse and medallion architecture
- Team-oriented, delivery-focused environment
- Competitive daily rate (commensurate with experience)
What we need from you / What our client requires
We are seeking an experienced Senior Fabric Data Engineer (ideally 7-10 years' experience) to design, build, and maintain a metadata-driven data platform using Microsoft Fabric and Azure technologies.
The Role
You will play a key role in designing and delivering a scalable, metadata-driven ingestion and transformation framework within Microsoft Fabric. The role focuses on building and optimising Bronze, Silver, and Gold Lakehouse layers to support semantic modelling and analytics outcomes.
Duties / Typical Day / Responsibilities
- Design and build metadata-driven ingestion pipelines from SQL Server into Microsoft Fabric using dynamic Fabric pipelines
- Build and manage Bronze, Silver, and Gold Lakehouse layers
- Develop Bronze-to-Silver transformation pipelines using SQL or Dataflows Gen2
- Create and maintain Gold tables for semantic modelling
- Build Silver-to-Gold pipelines using SQL or Dataflows Gen2
- Optimise Delta Lake and OneLake performance
- Implement data security (RBAC) and workspace segregation
- Maintain and manage code using Azure DevOps
- Support deployment through Git and Fabric deployment pipelines
Skills
- Strong experience in data engineering framework development
- Advanced skills in Microsoft Fabric, Azure, Databricks, SQL, Fabric Lakehouse, and Python
- Deep understanding of Data Lakehouse and medallion architecture
- Experience building metadata-driven ELT pipelines
- Strong knowledge of Delta Lake optimisation and OneLake
- Experience with data RBAC and setting/workspace segregation
- Proficiency with Git and CI/CD deployment pipelines
Why Join Akkodis
- Weekly pay with no payroll processing fees
- Access to upskilling opportunities and training discounts
- Consultant networking events and SME meet-ups
- Employee Assistance Program (EAP)
- Dedicated Akkodis Account Management support
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📌 Senior Fabric Data Engineer (Adelaide)
🏢 Akkodis
📍 Adelaide
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