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- Tasks: Design and build innovative data solutions using Microsoft Fabric and advanced technologies.
- Company: Leading UK consultancy driving digital transformation with a collaborative culture.
- Benefits: Competitive salary up to £75,000, hybrid work flexibility, and impactful projects.
- Why this job: Join a high-performing team and make a real impact on diverse projects.
- Qualifications: Experience with Microsoft Fabric, advanced PySpark/Spark SQL skills, and CI/CD expertise.
- Other info: Dynamic environment with opportunities for continuous learning and career growth.
The predicted salary is between 43200 - 63000 £ per year.
Are you ready to take your data engineering career to the next level? I’m working with a leading UK consultancy that’s driving digital transformation through Microsoft Fabric and the Power Platform. They’re looking for a Senior Microsoft Fabric Data Engineer Consultant who’s passionate about solving complex challenges and delivering real business impact. This is an opportunity to join a high-performing team, work on cutting-edge projects, and collaborate with some of the best minds in the industry.
Expert Environment: You’ll work alongside accredited specialists and continuously develop your skills in a fast-moving tech landscape.
Impactful Work: Your solutions will automate processes, optimise workflows, and unlock insights that transform businesses.
Agile & Innovative: A culture that values creativity, rapid deployment, and "low-code first" thinking.
Strong Client Base: Exposure to diverse sectors and challenging projects from day one.
What You’ll Be Doing:
- Designing end-to-end Microsoft Fabric architectures using the Medallion pattern.
- Building metadata-driven ingestion pipelines and optimising Delta Lake performance.
- Writing advanced PySpark/Spark SQL notebooks for large-scale transformations.
- Developing semantic models for enterprise reporting and enabling Direct Lake.
- Leading client workshops and guiding technical decisions.
- Implementing CI/CD pipelines with Azure DevOps/GitHub Actions and enforcing governance best practices.
Benefits:
- Competitive salary up to £75,000 plus benefits.
- Hybrid flexibility (2-3 days in office).
- Work on high-impact projects with cutting-edge Microsoft technologies.
What We’re Looking For:
- Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models.
- Advanced PySpark/Spark SQL skills and strong data engineering fundamentals.
- Integration experience with Dynamics 365, Dataverse, Business Central.
- CI/CD expertise with Azure DevOps/GitHub and Git version control.
- Strong Power BI modelling and DAX fundamentals.
Certifications:
- Essential: DP-600, DP-700, DP-203
Interviews taking place. If this opportunity interests you, apply now!
Fabric Data Engineer - Hybrid - 75k - Winchester employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer - Hybrid - 75k - Winchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft Fabric. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PySpark and Delta Lake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled complex problems in the past, particularly with Microsoft technologies. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Fabric Data Engineer - Hybrid - 75k - Winchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and data engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise. Mention your experience with PySpark, Delta Lake, and CI/CD pipelines. We’re looking for those details that set you apart from the crowd!
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. Don’t miss out!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and its components. Brush up on your PySpark and Spark SQL skills, as well as your experience with CI/CD pipelines. Being able to discuss specific projects where you've implemented these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to deliver impactful solutions.
✨Engage in Client-Centric Conversations
Since the role involves leading client workshops, practice how you would communicate technical concepts to non-technical stakeholders. Think about how you can make your explanations clear and relatable, showcasing your ability to bridge the gap between tech and business.
✨Be Ready for Hands-On Assessments
Expect practical assessments during the interview process. Brush up on building metadata-driven ingestion pipelines and optimising Delta Lake performance. Practising coding challenges or mock interviews can help you feel more confident when it comes to demonstrating your skills.