Senior Data Engineer: Microsoft Fabric & Power BI Architect

Sharp and Carter

City of Melbourne

On-site

AUD 140,000 - 190,000

Full time

4 days ago
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Job summary

Sharp and Carter is seeking a Senior Data Engineer to advance the client’s Data Strategy by developing and managing a Microsoft Fabric data platform. You will serve as the technical SME for Fabric, independently designing and maintaining secure end-to-end data solutions from source connectivity to semantic models for reporting and analytics.

The role requires hands-on experience with Fabric components such as Data Factory pipelines, Copy Job, Dataflow Gen2, Notebooks, Lakehouse and Warehouse,

Qualifications

  • Hands-on experience delivering production data solutions using Microsoft Fabric.
  • Experience end-to-end data solutions: connectivity, ingestion, transformation, storage and orchestration.
  • Strong SQL and Python/PySpark for data engineering tasks.
  • Experience developing Power BI semantic models.

Responsibilities

  • Act as the Microsoft Fabric SME and provide architectural and implementation guidance.
  • Build secure connectivity between Fabric and source systems.
  • Design and manage data ingestion and integration with Fabric.
  • Develop data pipelines, transformations, Lakehouse and Warehouse solutions.
  • Create trusted data models and Power BI semantic models.
  • Oversee end-to-end data engineering lifecycle: monitoring, troubleshooting, deployment.

Skills

Microsoft Fabric
Data engineering
SQL
Python/PySpark
Power BI semantic models
Data Factory pipelines
Lakehouse
Data modelling

Tools

Notebooks

Job description

Sharp and Carter is seeking a Senior Data Engineer to advance the client’s Data Strategy by developing and managing a Microsoft Fabric data platform. You will serve as the technical SME for Fabric, independently designing and maintaining secure end-to-end data solutions from source connectivity to semantic models for reporting and analytics.

The role requires hands-on experience with Fabric components such as Data Factory pipelines, Copy Job, Dataflow Gen2, Notebooks, Lakehouse and Warehouse,

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