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- Tasks: Lead the design of high-performance analytics models and optimise data flows.
- Company: Dynamic enterprise applications firm in Edinburgh embracing a data-driven culture.
- Benefits: Competitive contract rate, flexible working, and opportunities for professional growth.
- Why this job: Shape decision-making with cutting-edge analytics and AI-assisted tools.
- Qualifications: Expertise in Microsoft Fabric, Power BI, and strong communication skills.
- Other info: Mentorship opportunities and a collaborative environment await you.
The predicted salary is between 48000 - 72000 £ per year.
Location: Edinburgh
Job Type: Contract
Industry: Enterprise Applications
Job reference: BBBH
Posted: about 4 hours ago
My client are looking for a Senior Analytics Engineer to join their 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 will shape the semantic layer that shapes the company's decision making, enabling AI-assisted self-service analytics with Co-Pilot and delivering trusted management reporting suite used at every level of the business.
Senior Analytics Engineer in Edinburgh employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field, especially those who might know about opportunities in companies using Microsoft Fabric. A friendly chat can sometimes lead to job openings that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with Power BI and any semantic models you've designed. This will give potential employers a taste of what you can bring to their data-driven culture.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to engage with everyone from C-Suite execs to analysts, so practice explaining complex concepts in simple terms. We want you to shine!
✨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’re always looking for talented individuals like you to join our community.
We think you need these skills to ace Senior Analytics Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Engineer role. 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: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your experience with C-Suite communication and how you can contribute to a data-driven culture.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Be specific about your expertise in PySpark, SQL, and DAX. This will help us see how you can lead the analytics initiatives effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Experis
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric, Power BI, and the other tools mentioned in the job description. Brush up on your PySpark and SQL skills, as you'll likely be asked to demonstrate your technical expertise during the interview.
✨Showcase Your Communication Skills
Since the role involves engaging with C-Suite executives and analysts alike, practice articulating complex concepts in a clear and concise manner. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders in the past.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you approach building high-performance semantic models. Think of specific scenarios where you optimised data flows or improved reporting processes, and be ready to discuss your thought process.
✨Demonstrate Leadership and Mentorship
As this role involves mentoring engineers and driving best practices, be prepared to share your experiences in leading teams or projects. Highlight any instances where you’ve fostered a collaborative environment or helped others improve their skills.
