Job Description

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We are seeking a Senior Data Engineer with expertise in Microsoft Fabric and modern data platforms to deliver Fabric Foundations. The consultant will be responsible for provisioning Azure and Fabric components, enabling data connectivity, designing data pipelines, and delivering high-quality transformations. The role also includes implementing governance, supporting UAT, and ensuring successful deployment into production environments.
Responsibilities:
Platform Provisioning

• Provision and configure Microsoft Fabric capacities, workspaces, semantic models, and supporting Azure services (e.g., Storage, Key Vault).
• Deploy the Agile Insights Fabric Admin and Governance Pack and the ETL framework to support robust data platform operations.

Data Integration & Manipulation

• Establish connectivity between the data platform and external data sources, ensuring secure and reliable access.
• Design and implement ingestion pipelines for structured/unstructured data.
• Develop data transformations across layers (bronze ? silver ? gold) to ensure scalable, high-quality, and business-ready datasets.
• Manage reference data integration and ensure alignment across domains.

Validation & Governance

• Support UAT cycles, identifying and addressing data quality and integration issues.
• Facilitate Change Advisory Board (CAB) endorsement, ensuring architecture and deployment readiness.

Production Deployment & Knowledge Transfer

• Deploy solutions into production with proactive monitoring and operational continuity.
• Produce clear as-built documentation of data architecture, pipelines, and processes.
• Conduct knowledge transfer sessions with client teams to ensure sustainable operations.

Requirements:

• Proven experience as a Data Engineer working with Microsoft Fabric, Azure Data Services, and modern data platforms.
• Strong knowledge of data ingestion, transformation, and orchestration frameworks.
• Experience building data pipelines across bronze, silver, and gold layers.
• Proficiency in SQL, data modelling, and handling structured/unstructured data.
• Familiarity with security, governance, and deployment best practices in enterprise data environments.
• Hands-on experience supporting UAT, CAB processes, and production deployments.

Skills Required