At a Glance
- Tasks: Design and build innovative data solutions using Microsoft Fabric to drive operational improvements.
- Company: Join Gripple, a 100% employee-owned company leading in wire joining and suspension systems.
- Benefits: Enjoy 32 days' holiday, private healthcare, and exceptional wellbeing support.
- Other info: Embrace a culture of innovation, teamwork, and personal growth.
- Why this job: Shape a modern data platform and make a real impact in a dynamic environment.
- Qualifications: Experience with Microsoft Fabric and strong SQL skills are essential.
The predicted salary is between 36000 - 60000 £ per year.
Benefits
- 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.
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
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.
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
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. 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
Take a closer look: Learn more about who we are and how we’re changing the game: https://www.gripple.com/about-gripple
Take a tour of our head office at the historic Old West Gun Works in Sheffield, South Yorkshire here
Data Analytics Engineer (Microsoft Fabric) in Sheffield employer: Gripple
Gripple is an exceptional employer that champions innovation and employee growth within a supportive and inclusive work environment. With benefits like 32 days' holiday, private healthcare, and a commitment to professional development, employees are empowered to thrive both personally and professionally. Located in the historic Old West Gun Works in Sheffield, South Yorkshire, Gripple offers a unique workplace culture where your contributions are valued and your ideas can make a global impact.
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 on LinkedIn or at industry events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your skills effectively!
✨Tip Number 3
Showcase your passion for data! Bring examples of your previous work or projects that demonstrate your skills with Microsoft Fabric and data engineering. This will set you apart and show you're ready to hit the ground running.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
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 data engineering, and show us how your skills align with our needs.
Showcase Your Communication Skills:We love clear communicators! Use your application to demonstrate how you can translate complex data topics into simple insights. This will help us see how you can engage with stakeholders effectively.
Be Proactive and Personal:Don’t just list your skills; tell us about your projects and how you took ownership of them. We want to know about your problem-solving approach and how you’ve improved processes in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Gripple!
How to prepare for a job interview at Gripple
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your hands-on experience with Microsoft Fabric. Be ready to discuss how you've designed and supported scalable data solutions, especially focusing on Lakehouse, Dataflows, and Pipelines. Prepare examples of how you've implemented medallion architecture standards in your previous roles.
✨Communicate Like a Pro
Since the role requires translating complex technical topics into simple insights, practice explaining your past projects in layman's terms. Think about how you can convey your technical skills to non-technical stakeholders, as this will showcase your strong communication abilities.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in data engineering and how you approached solving them. Use structured thinking to outline your problem-solving process, and highlight any innovative solutions you implemented that led to operational improvements.
✨Emphasise Your Growth Mindset
The company values continuous improvement, so come ready to share how you've embraced feedback and developed your skills over time. Discuss any training or professional development you've pursued, particularly in data governance and quality management practices, to show you're proactive about your growth.
