Geospatial Data Manager
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Role details
Tech stack
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Job description
The Geospatial Data Manager owns our clients data and leads the data team. The role has one main responsibility.
To develop, maintain and take ownership of the datasets that the company uses to provide its services, and to manage the data team that delivers them. This includes but is not limited to local plan data (allocations), land availability assessments, planning applications and other data the platform needs to supply. Youâll be accountable for the day-to-day health of these datasets, knowing what we hold, where it comes from, when it last refreshed and whether itâs right and for setting the standard for how that data is sourced, structured and kept current., * Own the data the company provides to its clients, making sure it is accurate, current and reflected in the platform on schedule as source datasets update.
- Be responsible for adding to current datasets and bringing new datasets into the companyâs database, and for deciding how theyâre structured and maintained.
- Define and run validation and quality checks across datasets, investigate anomalies, reconcile discrepancies between sources, and resolve issues, catching problems before customers do.
- Process, clean, transform and join geospatial data (boundaries, parcels, designations, planning layers), handling projections, topology and geometry so layers line up and queries return the right answers.
- Maintain a clear, authoritative record of the datasets we hold - source, coverage, refresh cadence, last update and known limitations, and track where coverage is thin or missing, helping prioritise what to add next.
- Lead and manage the data team - assigning and prioritising work, supporting development and performance, and setting the bar for data standards across the team.
- Help develop the software platform
Requirements
- Strong GIS / geospatial skills - confident with QGIS and/or ArcGIS and comfortable manipulating spatial data.
- Solid SQL and the ability to query, join and validate large datasets.
- A genuinely meticulous, ownership-minded approach to data quality - you notice when something doesnât add up and you take responsibility for fixing it.
- Good understanding of geospatial concepts: coordinate systems, projections, topology, spatial joins.
- Clear, organised working style; able to set and maintain standards, records and documentation.
- Experience leading or managing others, or a clear readiness to - able to assign work, develop team members and hold a standard.
- Strong communication - able to explain data caveats and methodology to colleagues and clients.
- Use AI tools such as Claude.
Desirable
- Knowledge of the UK planning and property sector (planning applications, local plans, allocations, SHLAA/HELAA, Land Registry data).
- Scripting for data work - Python (pandas, geopandas) or similar.
- Experience building or maintaining data pipelines / ETL processes.
- Familiarity with data licensing considerations (e.g. OS, Land Registry, public sector data).
Benefits & conditions
- Pension Scheme
- Healthcare Assistance Scheme,
- Birthday Off,
- Cycle to Work Scheme,
- Social Events,
- Additional 3 days holiday during company shut down in December between Christmas and the New Year.
About the company
Our clientâs mission is to simplify everything land. With deep roots in land development and a family-run legacy, their expert land development consultants combine generations of expertise with the most reliable and comprehensive land data in the industry that is trusted and used by market leaders. Backed by a dedicated customer success team, they provide innovative tools, trusted insights, and unparalleled service to help achieve their clients land goals.
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