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For Companies At a Glance
- Tasks: Own end-to-end BI deliverables and create impactful data products.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Strong SQL skills and experience with Power BI and data modelling.
- Other info: Dynamic role with potential for career advancement in a supportive environment.
The predicted salary is between 48000 - 72000 ÂŁ per year.
The Senior Full-Stack BI Engineer owns end-to-end slices of BI work – from source to transform, model, semantic layer, report/app, and release – with minimal supervision. You are trusted to deliver products stakeholders actually use and to stabilise and improve existing solutions. You also start to coach Associates, enforce standards, and deepen business domain expertise in at least one key area.
Key Responsibilities
- Own End-to-End BI Deliverables
- Take defined outcomes (e.g. “give us visibility of X KPI across regions”) and deliver the full data product:
- Data ingestion / pipeline adjustments.
- Transform and model design or enhancement.
- Semantic layer (measures, relationships, RLS).
- Reports / dashboards / paginated reports / simple apps.
- Publication, access configuration, and basic usage guidance.
- Transformation & Modelling
- Design and refine fit-for-purpose dimensional/star schemas or other models that address real stakeholder questions.
- Improve or refactor existing models to simplify logic and reduce report-level “gymnastics.”
- Implement robust refresh logic and monitor data quality across the pipeline.
- Semantic Layer & KPI Logic
- Define and maintain measures, calculated columns, and relationships in Power BI datasets and Fabric/Databricks models.
- Implement and maintain RLS and access rules that reflect business requirements.
- Rework metric definitions to match how the business actually talks about performance, closing gaps between legacy definitions and current needs.
- Reporting, Dashboards & Apps
- Build high-quality Power BI dashboards using agreed themes, layouts, and navigation patterns.
- Design and maintain paginated/operational reports for detailed or regulatory needs.
- Where appropriate, build or extend Power Apps or other delivery mechanisms that embed BI into workflows.
- Stakeholder Engagement
- Run requirements conversations directly with business stakeholders, translating loosely defined asks into clear BI deliverables.
- Communicate trade-offs, constraints, and timelines in plain language.
- Walk stakeholders through new or updated reports, explaining structure, metrics, and how to interpret them for decisions.
- Incident Management & Support
- Diagnose and fix data quality issues, refresh failures, and performance problems across the stack without heavy supervision.
- Trace issues from the report layer back through the semantic layer, transformations, and source systems, and fix them at the correct layer.
- Standards, Coaching & Collaboration
- Review Associates’ work, providing clear feedback on why changes are needed, not just what to change.
- Help enforce shared standards for themes, naming conventions, KPI definitions, security rules, and documentation practices.
- Support continuous improvement of platform patterns and reporting frameworks.
Skills & Experience
- Essential Technical Skills
- Strong proficiency in SQL and practical experience with one or more of: Python, PySpark.
- Hands-on experience with Databricks and/or Microsoft Fabric, including pipelines/notebooks/jobs or equivalent orchestration.
- Deep experience using Power BI for:
- Data modelling, measures, and relationships.
- RLS and dataset refresh.
- Building production dashboards and reports.
- Experience with paginated reports (e.g. Report Builder) and familiarity with Power Apps or comparable delivery tools.
- Business & Domain Skills
- Deep understanding of at least one key business domain (e.g., sales, marketing, operations, finance), including:
- Processes and workflows.
- Core KPIs and how they’re defined.
- Source systems of record.
- Behaviours & Mindset
- Operates with end-to-end ownership – does not stop at “my layer.”
- Uses a forensic approach to problems, finding root causes instead of patching symptoms.
- Models “no time-zone blame” – resolves most issues within their day or escalates with clear context.
- Uses AI tools deliberately as leverage for productivity, while validating outputs.
Qualifications
- Degree or equivalent experience in a relevant field (Data, Computer Science, Engineering, Business Analytics, etc.).
- Proven experience delivering BI products in a modern BI environment (e.g. Azure, Fabric, Databricks, Power BI).
Career Progression
This role sits at the Senior level of the Full-Stack BI ladder. You are ready to move toward Staff Full-Stack BI Engineer when:
- You can turn messy, ambiguous requests into defined data products without someone else shaping them first.
- You are comfortable working across multiple business domains, not just your “home” domain.
- Other engineers are regularly unblocked by you.
- When you fix something, it stays fixed and the pattern is reusable for others.
Senior Full-Stack BI Engineer in Windsor employer: Neilson Financial Services
Contact Detail:
Neilson Financial Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack BI Engineer in Windsor
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your BI projects, dashboards, and any cool data transformations you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common BI scenarios. Think about how you'd tackle real-world problems, like improving data quality or designing a new dashboard. This will help you stand out as a candidate who can hit the ground running.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Full-Stack BI Engineer in Windsor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Full-Stack BI Engineer. Highlight your experience with SQL, Power BI, and any relevant projects that showcase your end-to-end BI deliverables. We want to see how you’ve tackled similar challenges!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about BI and how your skills align with our needs. Don’t forget to mention your experience in coaching and collaboration, as we value teamwork at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've diagnosed and resolved data quality issues or performance problems. We love candidates who can demonstrate a forensic approach to problem-solving, so share those success stories!
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. Plus, it’s super easy!
How to prepare for a job interview at Neilson Financial Services
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in SQL, Power BI, and any other tools mentioned in the job description. Be ready to discuss your hands-on experience with Databricks and how you've used these tools to deliver BI products. Prepare examples of past projects where you’ve successfully implemented data models or dashboards.
✨Understand the Business Domain
Familiarise yourself with the key business domains relevant to the role, such as sales or finance. Be prepared to discuss core KPIs and how they are defined within those areas. This will show that you can translate business needs into effective BI solutions.
✨Prepare for Stakeholder Engagement
Think about how you would run requirements conversations with stakeholders. Practice explaining complex BI concepts in simple terms. You might be asked to walk through a report or dashboard, so be ready to demonstrate how you would communicate insights effectively.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach diagnosing and fixing data quality issues. Share specific examples of how you’ve traced problems back through different layers of BI work. Highlight your forensic approach to problem-solving and your ability to implement robust solutions.
