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Senior Data Engineer

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Hybrid

Senior Data Engineer

Sharp & Carter Digital and Technology

Senior Data Engineer

Skills

SQL QueriesData EngineeringPythonGitData AnalysisPySparkPower BI

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Victoria, Australia

Work mode:

Hybrid

Published on:

11 September 2026

What they need


We are seeking a Senior Data Engineer to support our client’s Data Strategy by developing and managing its Microsoft Fabric data platform.
  
You will act as the technical SME for Microsoft Fabric and independently design, build and maintain secure end to end data solutions from source connectivity and ingestion through transformation, storage and semantic models for reporting/analytics.
 
The core responsibilities are:   

  • Act as the Microsoft Fabric technical SME, providing technical leadership around architecture, tools and implementation.
  • Build secure connectivity between Microsoft Fabric and source systems.
  • Design/manage data ingestion and integration using Fabric.
  • Develop data pipelines, transformations, Lakehouse and Warehouse solutions.
  • Build trusted data models and Power BI semantic models.
  • Own the end-to-end data engineering lifecycle: monitoring, troubleshooting, optimisation and deployment.
  • Establish development, security, version control and CI/CD practices.
  • Work directly with business and technical stakeholders to turn requirements into secure, scalable solutions and produce technical documentation.

To be considered, you must demonstrate the following:   

  • Demonstrated hands-on experience designing and delivering production solutions using Microsoft Fabric, with ability to operate independently from commencement.
  • Demonstrated experience delivering end-to-end data solutions, including secure source connectivity, ingestion, transformation, storage and orchestration.
  • Strong practical experience selecting and using appropriate Microsoft Fabric capabilities, including Data Factory pipelines, Copy Job, Dataflow Gen2, Notebooks, Lakehouse and Warehouse.
  • Strong SQL skills and practical experience using Python/PySpark for data engineering and transformation workloads.
  • Strong data modelling experience including development of PowerBI semantic models

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