7 of 7 Geospatial Data Jobs in London

Role: Geospatial Data Engineer Location: Central London - Hybrid (2-3 days per week in the office) Salary: £75,000 - £90,000 An exciting opportunity for an experienced Geospatial Data Engineer to join an innovative technology business developing automated solutions within the transport and mobility sector. This … hands-on role where you'll play a key part in building accurate, reliable transport datasets and developing the data pipelines and spatial models that underpin software solutions. Working closely with the development team, you'll help transform complex and fragmented data into high-quality, structured information ...

delivering one of the UK's most significant infrastructure and transportation programmes, shaping the future of rail travel through innovative digital engineering and data-driven decision making. As part of a high-performing Digital Engineering team, you will play a key role in ensuring the quality, governance and effective … geospatial information across a complex, multi-billion-pound programme. The organisation promotes collaboration, innovation and continuous improvement while investing in cutting-edge technologies and data management practices. Job Responsibilities As a GIS Data Analyst, you will support the management, governance and quality assurance of geospatial data ...

that applicants are expected to have. Join a team that helps deliver some of the most important environmental work in Wales. Reporting to the Geospatial Team Leader, you will play a key role in the delivery and continuous improvement of Natural Resources Wales' Geospatial Service, supporting colleagues across … organisation through the ESRI ArcGIS Platform. You will provide technical support, help manage geospatial data and services, and contribute to the development of new solutions that enable informed, evidence-based decision making. This is an excellent opportunity for someone who enjoys problem solving, working collaboratively and applying geospatial ...

experienced GIS Data Analyst with strong hands-on ArcGIS Enterprise experience? Do you have a solid understanding of GIS data management, data quality assurance and geospatial data integration? Salary: £41,400 - £48,702.50 (London) £36,000 - £43,355 (Birmingham) Location: Birmingham or London (in office … opportunity to join the GIS function supporting a nationally significant rail infrastructure programme, working within a specialist team focused on land, property and environmental data across a complex, live project environment. You’ll work with a broad range of geospatial datasets, identifying trends, assuring data quality ...

Role: Geospatial Data Engineer Location: Central London - Hybrid (2-3 days per week in the office) Salary: £75,000 - £90,000 An exciting opportunity for an experienced Geospatial Data Engineer to join an innovative technology business developing automated solutions within the transport and mobility sector click ...

Data Analyst - Location - London/Hybrid - £48,000 + Benefits A major high-speed railway infrastructure project is seeking an experienced GIS Data Analyst to join its Digital Engineering team. You will support the delivery of GIS data across design, construction, operations and maintenance, working with internal … delivery teams and external suppliers. Acting as a GIS Subject Matter Expert, you will oversee data management, publishing, transformation and quality assurance, ensuring geospatial information meets required standards. Key Responsibilities Manage, validate and assure GIS data quality across multiple disciplines. Support GIS data production, publishing, transformation ...

operating with incomplete information and evolving scope Deep knowledge of property and casualty insurance underwriting — how risks are selected, priced and triaged, and how data and analytics are consumed in those workflows — required, because the role depends on independent judgement about what insurers will value Technical depth sufficient … work directly with engineering and data science on data products: fluency with data schemas, model outputs and quality metrics, and the ability to run structured customer research and convert what it surfaces into specifications engineers can build against Commercial fluency, including the ability to build and defend ...