At a Glance
- Tasks: Transform data into actionable insights and create stunning visualisations for decision-making.
- Company: Join a leading savings and investments firm with over 175 years of innovation.
- Benefits: Enjoy 38 days annual leave, flexible working, and a generous pension scheme.
- Other info: Be part of a diverse and inclusive culture that values your unique contributions.
- Why this job: Make a real impact by delivering trusted data products that drive business success.
- Qualifications: Experience in data engineering, visualisation, and stakeholder engagement is essential.
The predicted salary is between 50000 - 65000 £ per year.
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
The Role
Working within Life Data, MI and Analytics as part of the wider Data, MI and AI team, the Data & Visualisation Engineer sits within a broader team of engineers covering the full spectrum of data engineering and visualisation engineering. This team is responsible for delivering high-quality data products, MI, reporting, and insight generation across the Life business. The Data & Visualisation Engineer is responsible for turning data into decisions; engineering reliable datasets and creating clear, business-oriented visualisations that enable confident decision making.
What you’ll be accountable for:
- Building usable Data: Design, build and maintain ELT pipelines and curated data models aligned to best practice and enterprise strategy/policy. Produce well-governed data products that include documentation and relevant data quality checks.
- Bringing insight to Life: Build clean, performant Power BI models and reports using best-practice DAX, data modelling, and visual storytelling. Design self-service–ready BI assets with intuitive navigation, drill paths, KPIs, and filters.
- Data Quality and Reliability: Profile, validate, and reconcile source data; embed data quality rules and monitoring. Investigate issues using structured root-cause analysis and partner with SMEs to resolve.
- Delivery excellence: Contribute to backlog refinement, estimation and planning. Deliver iteratively with quick feedback loops. Collaborate closely with stakeholders and SMEs across the business, technology partners, and the wider team.
- Stakeholder management and requirements gathering: Partner with business teams to understand desired outcomes, key decisions, and constraints. Lead discovery sessions to map current reporting, source systems, dependencies, and pain points.
What success looks like:
- Stakeholders regularly use your data products and/or reports to make timely, confident decisions.
- Semantic models and definitions are consistent across business areas and reduce rework.
- Data pipelines and visuals are reliable, performant, and easily maintainable.
- Data quality issues are identified, tracked, and resolved, with trends improving over time.
- You make complex concepts simple—your documentation enables others to self-serve.
Skills, knowledge and experience:
Essential:
- Stakeholder Engagement & Elicitation: Skilled at understanding business context and converting it into structured data/BI requirements.
- Data Modelling, Architecture and Semantics: Hands-on experience designing data models for the creation of data products and/or the delivery of analytics.
- Data Engineering: Proficiency in SQL including window functions, set-based logic, optimisation.
- Visualisation and BI: Strong Power BI development skills: data modelling, DAX, visual design and performance tuning.
- Quality, Controls and Documentation: Experience profiling data, building DQ rules, validating metrics, and documenting logic.
Desirable:
- Experience with CI/CD for Power BI and/or data pipelines.
- Familiarity with workflow and/or CRM systems.
- Experience of working in a Financial, Operational and/or regulated setting.
The successful candidate will:
- Put customers and business outcomes at the heart of what they do.
- Take personal responsibility for delivery and data quality.
- Challenge and speak up, offering an opinion and contributing to team discussions and direction.
Why this role matters:
This enables better customer outcomes, operational efficiency and risk reduction through the delivery and creation of trusted, re-usable data and reporting which is focused on business outcomes and supports decision making.
Job Level: Experienced Colleague
Location: Flexible in UK
Closing Date: 25 June 2026
What we offer:
At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future.
We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent.
Data and Visualisation Engineer in Stirling employer: M&gprudential
At M&G, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that prioritises employee wellbeing and professional growth. With flexible working arrangements, a generous benefits package including an 18% pension scheme, and a commitment to diversity, we empower our Data and Visualisation Engineers to thrive while making impactful contributions to our customers' financial journeys. Join us in a collaborative environment where your skills in data engineering and visualisation will be valued and nurtured, ensuring you can deliver high-quality insights that drive meaningful decisions.
