Senior Microsoft Fabric Data Engineer - Manager

About the role

PwC Ireland is hiring a Senior Microsoft Fabric Data Engineer (manager level) for its Advisory practice. You will design, develop and deliver enterprise-grade data platforms on Microsoft Fabric, taking ownership of data engineering workstreams from ingestion and transformation through to analytics enablement, governance and operational support. The role works closely with Solution Architects, business stakeholders, data analysts and AI teams.

Key responsibilities

• Design, build and support enterprise-scale Microsoft Fabric solutions across data engineering, analytics and AI initiatives.
• Maintain scalable Lakehouse, Warehouse and Medallion architecture patterns.
• Build ingestion frameworks and reusable accelerators using Data Factory, Dataflows Gen2, APIs, databases and cloud sources.
• Integrate structured, semi-structured and streaming data into OneLake and build Spark, PySpark and SQL transformation pipelines.
• Implement real-time analytics with Eventstreams and Real-Time Intelligence, and AI-ready foundations for Copilot, Fabric Data Agents and machine learning.
• Set up data quality controls, monitoring, automated alerting, governance, metadata management and security via Microsoft Purview.
• Establish CI/CD pipelines, source control, testing and deployment with Azure DevOps and Git.
• Monitor performance, troubleshoot issues and support modern analytics, AI and self-service reporting solutions.

Required profile

• 6+ years of experience in data engineering and Azure analytics platforms.
• Demonstrated hands-on Microsoft Fabric implementations in production environments.
• Experience with Medallion architecture, Delta Lake and modern analytics patterns.
• Strong understanding of data governance, security, metadata management and compliance.
• DevOps experience (CI/CD, source control) and proven troubleshooting and stakeholder management skills.

Required skills

• Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory, Dataflows Gen2, Notebooks, Semantic Models, Real-Time Intelligence, Purview
• SQL, Python, PySpark
• Data modelling, ETL/ELT, data integration from APIs, SaaS and databases
• Azure DevOps and Git