James Adams logo

Data Engineer - Fabric

James Adams
Department:Design
Type:HYBRID
Region:West Midlands, England
Location:Birmingham, England, United Kingdom
Experience:Mid-Senior level
Estimated Salary:£50,000 - £70,000
Skills:
MICROSOFT FABRICSQLPYTHONPYSPARKAZURE DATA FACTORYETLELTDATA PIPELINESDATA MODELINGLAKEHOUSEDATA GOVERNANCEGITCI/CD
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Job Description

Posted on: March 15, 2026

James Adams is currently looking for an experienced Data Engineer. This is a permanent role based in 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.

Originally posted on LinkedIn

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