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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 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: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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 Dunfermline employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in Dunfermline
✨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 SQL. This will give potential employers a taste of what you can do and set you apart from the competition.
✨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 opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Analytics Engineer in Dunfermline
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 DAX, SQL, and how you've engaged with C-Suite executives in the past.
Showcase Your Technical Skills: Don’t forget to include specific examples of your technical skills in your application. Whether it's your expertise in PySpark or your ability to mentor others, make sure we see how you can contribute to our analytics community.
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 relevant SQL languages. Brush up on your experience with PySpark and DAX, as these will likely come up during technical discussions. Being able to demonstrate your expertise with specific examples will really impress the interviewers.
✨Showcase Your Communication Skills
Since you'll be engaging with everyone from C-Suite executives to analysts, practice articulating complex concepts in a clear and concise manner. Prepare to discuss how you've successfully communicated technical information in past roles, as this will highlight your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or optimise processes. Think about past projects where you’ve designed semantic models or optimised data flows, and be ready to walk through your thought process and the impact of your decisions.
✨Demonstrate Leadership and Mentorship
As a Senior Analytics Engineer, you’ll be expected to mentor others and drive best practices. Be prepared to share examples of how you’ve led teams or initiatives in the past, and discuss your approach to fostering a collaborative and high-performance analytics community.
