Data Engineer - Fabric
James Adams is currently looking for an experienced Data Engineer. This is a permanent role based in Central Birmingham, 3 days pw onsite.
The Opportunity
An experienced Data Engineer is required to support the transition from SAP BW to a modern data platform built on Microsoft Fabric. The role will focus on delivering the migration, building scalable data pipelines, and maintaining a robust reporting and data framework that supports the organisation’s wider data strategy.
Key Responsibilities
• Support the implementation and development of a Microsoft Fabric data platform.
• Design and maintain data ingestion pipelines from multiple source systems.
• Build and manage ETL and ELT processes using tools such as Azure Data Factory and Fabric Data Pipelines.
• Work with stakeholders across Finance, HR, Commercial and Technology teams to translate business requirements into technical solutions.
• Develop and maintain data models to support reporting and analytics.
• Maintain a trusted reporting layer used across the business.
• Ensure strong data governance, security and regulatory compliance.
• Document data architecture, pipelines and processes.
• Support colleagues in developing data engineering and coding capability.
Skills and Experience
• Proven experience in Data Engineering within enterprise environments.
• Hands on experience with Microsoft Fabric including OneLake, Lakehouse, Delta, Data Pipelines, Dataflows and semantic models.
• Strong SQL skills including optimisation and performance tuning.
• Experience using Python or PySpark for data transformations.
• Experience building ETL or ELT pipelines using Fabric Data Pipelines or Azure Data Factory.
• Strong understanding of data modelling and modern Lakehouse architectures.
• Experience with data governance and security including RBAC and regulatory data handling.
• Experience using Git and working in CI/CD enabled data environments.
• Strong communication skills with the ability to work with both technical and non technical stakeholders.