Data Engineering Lead - Value & Analytics

Salary: £45,000 - 45,000 per year

Requirements

• Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions
• Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards
• Experience with ETL or ELT tools, scripting, data warehouses and data lakes
• Experience integrating fragmented data from operational, financial and project management systems
• Experience supporting major digital transformation or change programmes across multiple technology domains
• Strong cloud knowledge across Azure, AWS, SaaS, IaaS or PaaS environments
• Understanding of cyber security, data governance and regulatory requirements
• Strong business systems analysis skills and the ability to connect technical data to financial and strategic value
• Ability to present complex data through intuitive dashboards for non-technical senior stakeholders
• Excellent written and verbal communication skills
• Fluency in English
• Experience within a Value Management Office, PMO or strategy-led data function
• Experience in financial modelling, benefits realisation or commercial performance analytics
• Previous line management experience
• Experience within a large, international or highly complex organisation
• Microsoft Fabric, Power BI, Tableau, data engineering or related professional certification
• Degree or equivalent experience in Computer Science, Information Technology, Data Engineering or a related discipline
• Experience designing solutions in complex environments where data is distributed across multiple business units
• Ability to lead technical discussions, challenge assumptions and recommend pragmatic engineering approaches
• Applicants must be a UK resident
• Applicants must have the unrestricted right to work in the UK

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
• Connect information from fragmented business units and systems while maintaining consistent definitions and metadata
• Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting
• Design solutions that scale as organisational priorities, portfolio structures and reporting requirements change
• Maintain documentation covering data lineage, models, interfaces, controls and reporting standards

Technologies

• AWS
• Azure
• Cloud
• DevOps
• ETL
• Fabric
• IaaS
• JIRA
• PaaS
• Power BI
• SAP
• Security
• Tableau

More

We are a leading international organisation specialising in education, cultural relations and global collaboration. We are hiring a Data Engineering Lead to join our Value Management function in London or Edinburgh on a hybrid permanent basis, with no fully remote option and a regular physical presence in the office required. This senior role offers a salary of £38,000 to £46,000 plus £3,300 London weighting, with an ASAP start. We work closely with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership to build the technical infrastructure behind our Value Dashboard and turn fragmented data into reliable evidence for strategic decisions.

last updated 29 week of 2026