Data Engineering Lead - Value & Analytics

Data Engineering Lead - Value & Analytics Location: London Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £38,000 - £46,000 (+ £3,300 London Weighting) Level: Senior The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function.

You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance.

Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions.

The Role You will provide the technical engine for the Value Management Office, designing and maintaining the pipelines, models and dashboards used to track portfolio performance, benefits realisation and strategic return on investment.

While portfolio and strategy teams define what value should be measured, you will own how the information is captured, integrated, automated and presented to leadership and board-level audiences. Key Responsibilities Design and implement automated data pipelines connecting operational, financial and project management systems, including Jira, Azure DevOps and SAP Build and maintain executive dashboards using Power BI, Microsoft Fabric, Tableau or similar tools Visualise objectives, OKRs, KPIs, benefits and actual versus forecast return on investment Develop scalable data models that connect portfolio activity and project outputs to strategic objectives Create a trusted single source of truth for prioritisation, investment decisions and resource allocation Engineer automated alerts and reporting to identify declining value or performance Translate business-case and benefits metrics into reliable technical data models Manage the analytics engineering lifecycle from ingestion and ETL or ELT through to front-end visualisation Define technical standards for value-tracking tools, data models and performance analytics Ensure leadership reporting is accurate, auditable, secure and compliant with governance requirements Promote data transparency and access to trusted performance information Con...

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