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Senior fabric data engineer (adelaide)

Adelaide
Akkodis
Posted: 12 June
Offer description

Overview

Contract: Initial 3 months + 3-month extension option. Start: Immediate. 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?

* Chance 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
* Collaborative, 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 environment/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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