Fabric Data Engineer

We're looking for an experienced Data Engineer with a strong Microsoft Fabric background to join a team delivering modern enterprise data solutions. This role is suited to someone who can operate strategically and technically, translating business requirements into scalable data architectures while remaining hands-on with implementation and delivery.

You will be involved in a variety of projects ranging from enterprise platform migrations and data estate modernisation initiatives to the design and deployment of brand-new cloud-native analytics environments. The successful candidate will play a key role in helping organisations unlock greater value from their data through robust, scalable, and future-ready solutions.

Please note: Proven, hands-on Microsoft Fabric experience is essential. Applications without practical Fabric implementation experience cannot be considered.

• Design scalable, enterprise-grade data platforms aligned to business and technical objectives.
• Define architecture standards, governance models, and best-practice frameworks.
• Develop modern data solutions leveraging lakehouse and warehouse methodologies.
• Produce technical documentation, architecture artefacts, and solution designs for stakeholders.

• Develop and maintain robust data ingestion, transformation, and orchestration pipelines.
• Build scalable ETL/ELT frameworks that support multiple use cases and business domains.
• Implement metadata-driven processes to improve maintainability and reduce manual effort.
• Deliver high-quality solutions across the full data lifecycle.

• Lead data platform migration projects from legacy and on-premise environments into Microsoft Fabric and Azure.
• Assess existing estates, define migration approaches, and oversee implementation activities.
• Support data validation, reconciliation, performance optimisation, and production cutovers.
• Modernise existing architectures to improve scalability, performance, and governance.

• Develop and optimise semantic models to support enterprise reporting requirements.
• Implement security frameworks, including role-based access, row-level security, and object-level security.
• Support reporting and analytics teams with scalable, trusted data assets.
• Optimise performance across reporting and analytics environments.

• Establish and maintain CI/CD processes for data platforms.
• Implement source control, code review standards, automated deployments, and environment promotion strategies.
• Contribute to platform reliability, monitoring, and operational excellence initiatives.
• Promote engineering best practices across project teams.

• Collaborate directly with business and technical stakeholders to define data strategies and solution roadmaps.
• Communicate technical concepts effectively to both technical and non-technical audiences.
• Provide mentorship and guidance to fellow engineers.
• Contribute to architecture reviews, technical governance, and delivery quality standards.

• Strong commercial experience delivering data engineering solutions within enterprise environments.
• Proven hands-on experience with Microsoft Fabric.
• Extensive experience designing and building modern cloud-based data platforms.
• Strong understanding of data architecture principles, governance frameworks, and data modelling methodologies.
• Experience delivering complex migration and modernisation programmes.
• Advanced SQL and data transformation expertise.
• Experience implementing automated deployment and Dev Ops practices for data solutions.
• Strong stakeholder engagement and client-facing communication skills.

• Microsoft Fabric
• Fabric Lakehouse & Data Warehouse
• One Lake
• Data Factory
• Real-Time Intelligence
• Power BI
• Azure Data Platform Services
• SQL
• Python
• Git
• Azure Dev Ops
• CI/CD Pipelines