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A leading recruitment agency is seeking a GIS Data Analyst to support a significant infrastructure programme in London or Birmingham. You will manage GIS data quality, automate validations using FME or Python, and ensure compliance with project standards. Ideal candidates have strong experience with the Esri suite and data management, along with effective communication skills. This role is part of a hybrid work model that offers long-term career progression within a major project.
Location: London (Euston) or Birmingham - Hybrid (3 days office-based)
Salary: London: £43,000 - £48,702 + 12% pension + benefits; Birmingham: £40,000 - £43,355 + 12% pension + benefits
Next Step: GIS Manager (£55,000 - £60,000 + package)
Programme: High Speed Two (HS2)
High Speed Two (HS2) is delivering the largest and most complex infrastructure programme in Europe, underpinned by some of the most advanced digital engineering and data standards in the UK. We are seeking a GIS Data Analyst to join HS2's GIS Digital Engineering team, supporting the management, assurance, and quality of geospatial data across the full asset lifecycle—design, construction, and operations & maintenance across the whole HS2 programme of works.
This is a client‑side role, focused on governance, assurance, and continuous improvement of GIS data received from a wide range of delivery partners (main contractors & consultancies). The programme has over 10 years remaining, offering outstanding long‑term development and progression opportunities.
Candidates are welcomed from infrastructure, utilities, civils, construction, environmental, remote sensing, built environment or digital engineering backgrounds. Rail/transport experience is beneficial but not essential.
Reporting to the GIS Data Manager, you will act as a subject matter expert (SME) in GIS data management, working closely with delivery teams, suppliers, and technology partners. You will be part of a team of 4 GIS Data Analysts, responsible for receiving, auditing, challenging, and managing over one million GIS data records submitted by multiple major contracts. The role places strong emphasis on data quality, automation, assurance, and standards compliance, using the Esri suite alongside FME and/or Python to automate data quality and identify anomalies.
We are looking for a technically strong GIS professional with a passion for data quality and digital engineering, who is comfortable working in a complex, multi‑supplier environment.