Job Description
Data Engineer (Fabric)
Sheffield City Centre
Up to £50,000
Your new role
Working closely with stakeholders across the UK, US and European businesses, you will help ensure data is accessible, trusted, and used effectively to support operational and strategic decision-making. This is a hands-on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction of the data platform as it continues to mature.
Responsibilities
Champion data innovation within a forward-thinking manufacturing environment, integrating insights from energy systems, operational technology, ERP, and CRM platforms to drive operational improvement and support smarter financial and strategic decision-making
Design, build, and continuously improve scalable end-to-end data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers
Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight
Collaborate closely with stakeholders across the organisation to translate business requirements into practical data solutions and support analytics projects from discovery through to adoption and business use
Shape and evolve platform standards, governance, and security practices while maintaining high levels of data quality, reliability, and performance, continuously identifying opportunities to improve tools, processes, and ways of working, and actively developing your own technical and professional capability
Experience needed
Hands-on experience with Microsoft Fabric, including Lakehouse, Dataflows, Notebooks, Pipelines, and workspace management, with the ability to design and support scalable data solutions across ingestion, transformation, and presentation layers
Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models
Understanding of medallion architecture and modern data engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques
Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms
Proficient in preparing and validating real-world datasets, including cleansing, handling missing or duplicate records, standardising inputs, and performing exploratory analysis using Excel
Experience working with structured business data from enterprise systems such as ERP and CRM platforms, with an understanding of data relationships, master data concepts, and business process integration
Strong, clear communicator able to translate complex technical topics into simple, meaningful insights and narratives for a range of audiences
Strong stakeholder engagement skills, building trusted relationships across business and IT teams
Proactive and self-driven, with the ability to take ownership of work and see it through to completion
Structured thinker with a logical approach to problem-solving and analysis
Open to feedback and continuous improvement, with a growth mindset
Desirable certifications (Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer Associate, Microsoft Fabric Data Engineer Associate)
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