At a Glance
- Tasks: Design and build a modern data platform using Microsoft Fabric to drive innovation.
- Company: Join Gripple, a 100% employee-owned company leading in wire joining and suspension systems.
- Benefits: Enjoy share ownership, generous holiday, private healthcare, and career development opportunities.
- Other info: Work in an inclusive environment that champions diversity and personal growth.
- Why this job: Be part of a game-changing team that values your ideas and impact.
- Qualifications: Experience with Microsoft Fabric, SQL, and strong communication skills are essential.
The predicted salary is between 45000 - 55000 £ per year.
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, 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.
Why Gripple? We’re not just innovators—we’re game-changers. Since 1989, Gripple has led the charge in wire joining and suspension systems. As a 100% employee‑owned business, we don’t just hire talent—we invest in it.
What’s in it for you:
- 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
The 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.
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
Who you are:
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 Fabric Analytics Engineer Associate (DP-600)
- Microsoft Fabric Data Engineer Associate (DP-700)
The Gripple Spirit: Our values – fun, integrity, passion, entrepreneurship, teamwork, innovation – aren’t just words on a wall. They shape everything we do. Join us, and you’ll experience:
- true work‑life balance
- an inclusive and caring workplace where your ideas matter, and your impact is felt globally
Apply by 6pm on 8th June 2026. Bring your ambition. We’ll bring the opportunity.
Join a team where everyone belongs. 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.
Data Analytics Engineer (Microsoft Fabric) in Sheffield employer: Gripple Limited
Gripple is an exceptional employer that champions innovation and employee ownership, offering a unique opportunity to shape a modern data platform in a supportive and inclusive environment. With a strong focus on professional development, generous benefits including a non-contributory pension and private healthcare, and a culture that values teamwork and integrity, Gripple empowers its employees to thrive both personally and professionally while making a meaningful impact in the manufacturing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer (Microsoft Fabric) in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current employees at Gripple on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your Microsoft Fabric skills. Be ready to discuss how you’ve used data engineering in past projects. Show us your passion for data and how you can contribute to Gripple's innovative environment.
✨Tip Number 3
Don’t just talk about your technical skills; share stories! Use the STAR method (Situation, Task, Action, Result) to highlight your achievements. This will help us see how you tackle challenges and deliver results.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Gripple team. Let’s make it happen!
We think you need these skills to ace Data Analytics Engineer (Microsoft Fabric) in Sheffield
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Analytics Engineer role. Highlight your experience with Microsoft Fabric and how it aligns with what Gripple is looking for. We want to see how you can bring your unique skills to our team!
Showcase Your Skills:Don’t just list your technical skills—show us how you've used them in real-world scenarios. Whether it's building data pipelines or optimising SQL queries, give us examples that demonstrate your hands-on experience. We love seeing practical applications of your knowledge!
Communicate Clearly:Remember, we’re looking for strong communicators! When writing your application, make complex technical topics easy to understand. Use clear language and avoid jargon where possible. This will help us see how you can translate your expertise into meaningful insights for our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there. Don’t miss out on this opportunity!
How to prepare for a job interview at Gripple Limited
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, especially Lakehouse, Dataflows, and Pipelines. Be ready to discuss how you've used these tools in past projects and how they can be applied to Gripple's data platform.
✨Showcase Your Problem-Solving Skills
Prepare examples that demonstrate your structured thinking and logical approach to problem-solving. Think about specific challenges you've faced in data engineering and how you overcame them, particularly in relation to data quality and performance optimisation.
✨Engage with Stakeholders
Since this role involves collaboration across various teams, practice how you'll communicate complex technical topics to non-technical stakeholders. Prepare to share examples of how you've built trusted relationships and translated business requirements into practical data solutions.
✨Emphasise Continuous Improvement
Gripple values a growth mindset, so be ready to discuss how you've embraced feedback and sought opportunities for improvement in your work. Share any experiences where you've implemented changes that enhanced data governance or platform security.
