At a Glance
- Tasks: Design and build a modern data platform using Microsoft Fabric to drive operational improvements.
- Company: Join Gripple, a forward-thinking manufacturing company with a focus on innovation and collaboration.
- Benefits: Enjoy share ownership, 32 days holiday, private healthcare, and world-class training opportunities.
- Other info: Embrace a culture of inclusivity and work-life balance while growing your career.
- Why this job: Make a real impact by championing data innovation in a dynamic environment.
- Qualifications: Experience with Microsoft Fabric and strong SQL skills are essential.
The predicted salary is between 40000 - 50000 £ per year.
Location: Sheffield, South Yorkshire, United Kingdom
Application deadline: 8th June 2026.
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, 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.
Benefits
- 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
Role Overview
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.
What You’ll Be Doing
- 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
Key Personal Skills
- 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
Key Technical Skills
- 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
- Awareness of structured development practices such as environment separation (Dev/UAT/Prod), release management, and change control approaches for data platforms
- Good working knowledge of data governance, platform security, and access control principles, including role‑based access control, data classification, and secure handling of sensitive business data
- Awareness of data quality management practices including validation, monitoring, reconciliation, and continuous improvement approaches to ensure trusted and reliable datasets
Desirable Technical Skills (not Essential)
- Experience working with Microsoft Dynamics 365 Finance and Operations and/or Dynamics 365 Customer Engagement
- Exposure to enterprise data platforms (Microsoft Fabric), analytics teams, or formal data governance environments
- Experience supporting Power BI or other business intelligence tools
Desirable Certifications (not essential)
- Microsoft Power BI Data Analyst (PL-300)
- Microsoft Fabric Analytics Engineer Associate (DP-600)
- Microsoft Fabric Data Engineer Associate (DP-700)
The Gripple Spirit
True work‑life balance. An inclusive and caring workplace where your ideas matter, and your impact is felt globally.
Take a Closer Look
Learn more about who we are and how we’re changing the game: https://www.gripple.com/about-gripple
We encourage applications from people from all backgrounds and aim to have a workforce that represents the wider society that we serve. We champion diversity, inclusion and wellbeing and aim to create a workplace where everyone feels valued with a sense of belonging. If there are any adjustments that would help your experience with Gripple, please let us know when you apply. Whilst not mandatory, your completion of the applicant ethnic monitoring form will help us monitor and encourage equality and diversity. The information you provide will be anonymous and kept both confidential and separate to your application.
Apply by 6pm on 8th June 2026. Bring your ambition. We’ll bring the opportunity.
Data Analytics Engineer (Microsoft Fabric) employer: Gripple Germany
Gripple is an exceptional employer that fosters a culture of innovation and inclusivity, providing employees with the opportunity to shape a cutting-edge data platform in a supportive environment. With benefits like share ownership, generous holiday allowances, and a commitment to professional development, employees can thrive both personally and professionally while contributing to meaningful projects in Sheffield's vibrant community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer (Microsoft Fabric)
✨Tip Number 1
Network like a pro! Reach out to current employees at Gripple or in the data analytics field on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those involving Microsoft Fabric. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL and data pipeline design. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Gripple team.
We think you need these skills to ace Data Analytics Engineer (Microsoft Fabric)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Engineer role. Highlight your experience with Microsoft Fabric and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to our team. Be sure to mention specific examples of your work that relate to the job description.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially your hands-on experience with Microsoft Fabric and SQL. We’re keen to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Gripple Germany
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, especially its components like Lakehouse, Dataflows, and Pipelines. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. Have examples ready where you've developed, optimised, or troubleshot queries. This will show that you can handle data transformation and analytical models effectively.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. The ability to translate technical jargon into meaningful insights is crucial, especially when engaging with stakeholders. Think of examples where you've successfully communicated data solutions to non-technical audiences.
✨Emphasise Your Problem-Solving Approach
Be prepared to discuss your structured thinking and logical approach to problem-solving. Share specific instances where you've identified issues within data pipelines or governance practices and how you addressed them. This will highlight your proactive mindset and ownership of work.
