Data Analytics Engineer; Microsoft Fabric

Unleash your potential. Change the game with Gripple.

We’re on the hunt for a Data Analytics Engineer (Microsoft Fabric) to shape a modern enterprise data platform at an early stage of maturity using Microsoft Fabric.

Based within our Data team at our Norfolk Bridge Works site, part of the wider IT function, you will play a key role in designing, building, and evolving the organisation’s recently deployed data platform, working with diverse datasets including manufacturing operational technology, sustainability and energy analytics, and enterprise business systems.

• Share ownership:
  Buy a stake in Gripple and the GLIDE group and share in our success
• 15% non-contributory pension
• 32 days’ holiday, increasing with long service, plus quarterly 'thank you' days and your birthday off
• Private healthcare, family‑focused policies, and exceptional benefits that support your wellbeing at every stage
• World‑class product training, career development, and room to grow

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.

• 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

• 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

• 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…