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- Tasks: Lead the design of high-performance analytics models and optimise data flows.
- Company: Join a forward-thinking company embracing a data-driven culture.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Shape decision-making with cutting-edge analytics and AI technology.
- Qualifications: Expertise in Microsoft Fabric, Power BI, and strong communication skills.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
My client are looking for a Senior Analytics Engineer to join the team on an initial 3-6 month contract, Inside IR35. They are moving towards a data-driven culture, and this individual will help lead their Fabric-First analytics layer – designing reusable semantic models, optimising Dataflows Gen2 and Lakehouse/Warehouse tables, and co-creating their core management reporting suite.
Key Responsibilities:
- Lead the build of governed, high-performance semantic models (Direct Lake/Import/Composite) and certified Data sets.
- Engineer upstream transformations with PySpark/SQL/notebooks; minimise DAX-heavy shaping.
- Co-design the KPI Taxonomy and management reporting suite with Execs and functional leaders.
- Optimise refresh, performance and deployment; enforce standards, security and documentation.
- Mentor engineers and drive best practice across the analytics community.
- Prepare models for CoPilot & Fabric AI: business-friendly names, synonyms metadata and consistent measures.
What our client is looking for:
- Strong Microsoft Fabric experience; expert Power BI model design and performance tuning.
- Excellent Power Query and QL/T-SQL; advanced DAX for measures.
- Confidence engaging from C-Suite to analysts; clear, outcome-focused communication.
Nice to have:
- Python/PySpark, Purview/DataHUB, observability tooling, Direct Lake Optimisation.
You’ll shape the semantic layer that shapes the company’s decision making, enabling AI-assisted self-service analytics with Co-Pilot and delivering a trusted management reporting suite used at every level of the business.
Senior Analytics Engineer employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with Power BI, PySpark, and any other relevant tools. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to engage with everyone from C-Suite execs to analysts.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles that could be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Analytics Engineer. Highlight your experience with Microsoft Fabric, Power BI, and any relevant projects that showcase your skills in building semantic models and optimising data flows.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Mention specific experiences that align with the key responsibilities, like mentoring engineers or designing KPI taxonomies, and show your enthusiasm for contributing to a data-driven culture.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Make sure to include your expertise in PySpark, SQL, and DAX, as well as any experience with observability tooling. We want to see how you can bring value to our analytics community.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of 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 the relevant SQL dialects. Brush up on your DAX skills too! Be ready to discuss specific projects where you've designed semantic models or optimised data flows.
✨Showcase Your Communication Skills
Since you'll be engaging with everyone from C-Suite execs to analysts, practice explaining complex concepts in simple terms. Prepare examples of how you've effectively communicated technical details to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems. Think about how you would approach designing a KPI taxonomy or optimising a data refresh process. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Leadership and Mentorship
As a Senior Analytics Engineer, you'll need to mentor others. Be prepared to share experiences where you've led a team or driven best practices in analytics. Highlight your ability to foster a collaborative environment.
