Senior GIS Specialist

Kinect Recruitment Ltd
Bicester, Oxfordshire
12 months ago
Applications closed

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Senior GIS Specialist

Location: Bicester ( 3 days per week in office, 2 days from home )

Salary : up to 40k basic plus benefits

Key Responsibilities:



Produce accurate GIS maps and plans, including land ownership, access routes, utility layouts, and supporting legal documentation.

*

Source, analyse, and manage geospatial data from providers such as Land Registry, Ordnance Survey, Environment Agency, and utility companies.

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Provide GIS expertise and insights to internal teams and clients to support planning and operational decisions.

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Maintain and update mobile and web-based GIS platforms using the latest technology.

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Ensure data quality through rigorous standards and the use of bespoke geospatial databases.

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Identify, license, and integrate new data sources to enhance project outcomes.

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Manage GIS-related tasks and small projects, ensuring high standards and timely delivery.

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Estimate workloads and advise project teams on timelines and GIS requirements.

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Mentor and support junior GIS team members by providing guidance, feedback, and conducting performance reviews.

Candidate Requirements:

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Degree or postgraduate qualification in GIS, Geography, Surveying, or a related field with a GIS focus.

*

Relevant experience in a GIS role, ideally within infrastructure, utilities, or energy sectors.

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Proficiency in ESRI ArcGIS for spatial data management, analysis, and mapping.

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Experience with web and mobile GIS tools such as ArcGIS Online, Enterprise, Collector, and Survey123.

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Competence in database development, integration, and geospatial data workflows.

*

Strong attention to detail with a commitment to producing high-quality cartographic outputs.

*

Full UK driving licence and willingness to travel to project sites as required

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Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.