Data and Visualisation Engineer

M&G plc

Data & Visualisation Engineer responsible for turning data into decisions at M&G. Collaborating with stakeholders to create data models and insights for better customer outcomes.

Posted 5/8/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureETLPythonSQL

About the role

Key responsibilities & impact

Responsible for creating and turning data into decisions
Engineering reliable datasets and creating clear business-oriented visualisations
Collaborating closely with business stakeholders to turn their needs into well-designed data models
Providing insight through reporting
Building usable Data and maintaining ELT pipelines and curated data models
Producing well-governed data products
Designing self-service–ready BI assets
Maintaining documentation, lineage, and controls as part of the delivery lifecycle
Contributing to backlog refinement, estimation, and planning
Leading discovery sessions to map current reporting and pain points
Running structured requirement gathering workshops, interviews, and data walkthroughs
Supporting and executing testing, incorporating feedback into iterative improvements

Requirements

What you’ll need

Skilled at understanding business context and converting it into structured data/BI requirements
Ability to reconcile conflicting definitions and drive alignment around a shared version of the truth
Experience facilitating workshops, walkthroughs, UAT sessions, and iterative review cycles
Capture functional and non-functional requirements including data latency, refresh cycles, dependencies, lineage, and data sensitivity
Hands-on experience designing data models for the creation of data products and/or the delivery of analytics
Experience designing and maintaining shared datasets and semantic layers with versioning and ownership
Strong skills in designing Power BI models, including relationship design, DAX optimisation, and calculation reuse
Understanding of ontologies, business glossaries, and semantic layers; ability to map business concepts into consistent structures
Proficiency in SQL including window functions, set-based logic, optimisation
Experience with modern data platforms (Azure, Databricks, Lakehouse patterns)
Knowledge of ELT/ETL pipelines, incremental processing, job orchestration, and version control
Exposure to API-based integration, JSON, and other programming languages (e.g. Python)
Strong Power BI development skills: data modelling, DAX, visual design and performance tuning
Ability to design intuitive dashboards with clear KPIs, navigation, and action-orientated insights
Experience profiling data, building DQ rules, validating metrics, and documenting logic
Ability to create clear runbooks, technical specs, and business-friendly documentation
Able to articulate complex issues in simple terms for non-technical stakeholders
Works effectively with cross-functional teams and builds strong relationships at all levels

Benefits

Comp & perks

Pension scheme of 18%
Share Save and Share Incentive Plan
Access to financial wellbeing and support services
38 days annual leave including bank holidays
Opportunity to purchase up to 5 extra days
Time Off When You Need It policy
Inspiring Families policy with paid parental leave
Health & Protection cover including Private Healthcare, Critical Illness cover, and Life Assurance

ATS Keywords

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Hard Skills & Tools

data modelingPower BIDAXSQLELTETLdata visualizationdata qualityAPI integrationPython

Soft Skills

collaborationcommunicationfacilitationproblem-solvingalignmentdocumentationiterative improvementrelationship buildingrequirement gatheringstakeholder engagement