4 of 4 ArcGIS Jobs in the South East

complex datasets, including routine, survey, and qualitative data. Strong experience in using analytical software (e.g. R, Python, Power BI, Tableau) or geospatial tools (e.g. ArcGIS) is essential, along with a deep understanding of data governance, confidentiality, and information sharing protocols. A high level of intellectual rigour, political awareness ...

complex datasets, including routine, survey, and qualitative data. Strong experience in using analytical software (e.g. R, Python, Power BI, Tableau) or geospatial tools (e.g. ArcGIS) is essential, along with a deep understanding of data governance, confidentiality, and information sharing protocols.A high level of intellectual rigour, political awareness and negotiation ...

solving integration and data engineering problems rather than working with any single product or technology. Experience with enterprise GIS technologies such as ESRI ArcGIS Enterprise would be advantageous but is not essential. We are primarily seeking experienced data engineers with strong engineering fundamentals who can apply those skills across … DevOps working practices. * Experience developing or supporting containerised applications within Kubernetes environments. * Experience with enterprise GIS platforms and geospatial data technologies (e.g. ESRI ArcGIS Enterprise, GeoEvent, Velocity, spatial databases). * Experience integrating enterprise platforms using REST APIs and automation. * Experience working with object storage platforms and S3-compatible interfaces. ...

Technician to support a busy design and build team delivering GIS outputs across multiple projects. This is a data focused role, working with QGIS, ArcGIS, internal mapping tools and remote sensing data. The successful candidate will be responsible for creating, editing, validating, and maintaining spatial data to support project … Technician will be involved in a range of GIS data capture editing and quality assurance tasks. Creating, editing, and maintaining spatial datasets using QGIS, ArcGIS, and RS. Working with large GIS datasets across multiple projects and ensuring data is clean, accurate and fit for purpose Capturing, digitising, and updating ...