Lead BI Engineer

1.

Technical Ownership of BI Solutions

Leads technical design and implementation within agreed architecture and design standards.

2.

Design Authority & Best Practice

Contributes to the design authority for data modelling, visualisation, and BI patterns, contributing to standards and ensuring consistent, high-quality approaches across the team.

3.

Stakeholder & Product Leadership

Works closely with product, performance, and business stakeholders to shape requirements, supports KPI definition and success criteria, and ensure BI products deliver meaningful outcomes.

4.

Delivery Leadership & Risk Management

Supports reliable delivery by identifying technical risks, dependencies, and constraints early, and guiding teams to pragmatic, timely solutions.

5.

Data Quality, Trust & Governance

Applies agreed validation and quality approaches and escalates data trust or security concerns through established governance routes.

6.

Coaching & Capability Development

Supports BI Engineers and Junior Engineers, sharing expertise, reviewing work, and raising technical capability within the BI engineering team.

7.

Continuous Improvement & Innovation

Drives ongoing improvement in BI tooling, patterns, and practices, identifying opportunities to simplify, automate, and enhance the BI estate.

Key Internal Stakeholders & Relationships



* Operational Stakeholders


* Performance teams


* Business Intelligence & Insight team


* Business Finance teams


* Business Planning (WFM) teams


* Technology Data & Analytics team


* Technology Platform teams


* Senior Operational Leaders

Key External Stakeholders & Relationships



* Operational system providers and Platform partners


* External consultants (where applicable)

Essential

• A degree level qualification (or equivalent practical experience) in Data Analytics, Statistics, Computer Science, or a related discipline.

• Significant experience working in data or analytics roles within a complex organisation, delivering BI solutions across multiple business areas or workstreams.

• Proven, in-depth experience designing and delivering enterprise-scale business intelligence solutions, ideally using Power BI.

• Advanced analytical capability with strong experience in data visualisation, storytelling, and UX design for insight delivery.

• Demonstrated experience producing executive-level insight, including shaping narrative, defining KPIs, and supporting strategic decision-making.

• Advanced proficiency in analytics and visualisation tools (e.g.

Power BI, advanced Excel; Tableau optional).

• Extensive practical experience designing dimensional data models, applying Kimball methodologies, and creating reusable semantic layers.

• Strong SQL expertise, including writing and reviewing complex queries for data extraction, validation, and transformation.

• Proven experience ensuring data quality, trust, and governance, including validation approaches, testi...