Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design high-performance semantic models and optimise Dataflows using PySpark/SQL.
- Company: Leading recruitment firm enhancing data-driven culture in the UK.
- Benefits: Competitive contract pay and opportunity to work with executive teams.
- Why this job: Shape KPIs and reporting while leading innovative analytics projects.
- Qualifications: Strong experience in Microsoft Fabric, Power BI, and excellent communication skills.
- Other info: Initial 3-6 month contract based in vibrant Edinburgh.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment firm is seeking a Senior Analytics Engineer to enhance its data-driven culture in the United Kingdom. This role involves designing high-performance semantic models and optimising Dataflows. You will lead transformations using PySpark/SQL and work with executive teams to shape KPIs and reporting suite.
Required skills include:
- Strong experience in Microsoft Fabric
- Power BI
- Power Query
- Excellent communication abilities
This is an initial 3-6 month contract position located in Edinburgh.
Fabric Analytics Engineer - Semantic Layer Lead (Contract) employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Analytics Engineer - Semantic Layer Lead (Contract)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Microsoft Fabric or Power BI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best semantic models and Dataflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts clearly, especially when discussing KPIs and reporting with executive teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Fabric Analytics Engineer - Semantic Layer Lead (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric, Power BI, and PySpark/SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our data-driven culture. Let us know how you’ve led transformations in the past.
Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t forget to mention any experience working with executive teams or shaping KPIs.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric, Power BI, and Power Query. Brush up on your PySpark and SQL skills too, as you’ll likely be asked to demonstrate your knowledge of these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed high-performance semantic models or optimised Dataflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice explaining complex concepts in simple terms. Be ready to discuss how you’ve collaborated with executive teams to shape KPIs and reporting suites in previous roles.
✨Research the Company Culture
Understand the recruitment firm’s values and data-driven culture. Tailor your responses to show how your experience aligns with their goals and how you can contribute to enhancing their analytics capabilities.
