Geospatial data engineer in transport

An exciting opportunity for an experienced Geospatial Data Engineer to join an innovative, fully funded, start-up technology business developing automated solutions within the transport and mobility sector.

• Build and maintain data pipelines to ingest, clean, standardise and update transport data from APIs, GIS files, spreadsheets and other sources.
• Design and develop spatial data models using PostgreSQL/PostGIS, covering parking bays, traffic restrictions, tolls and congestion-charge zones.
• Develop and refine geofencing and location-recognition models, working closely with developers to address positioning uncertainty and complex boundary cases.
• Analyse and improve geospatial data quality, resolving issues involving geometries, coordinate systems, topology, missing data and inconsistencies.
• Apply AI-assisted extraction and classification techniques to process complex documents and datasets, ensuring outputs are validated and traceable.
• Develop automated quality checks to measure positional accuracy, completeness, consistency and data freshness.
• Build reusable tools and integrations to make transport datasets accessible and easy to use within software applications.
• Conduct targeted site surveys and GNSS observations where required to verify mapped features and improve accuracy.
• Maintain version-controlled code, automated testing, reproducible workflows and clear technical documentation.
• Help establish a scalable technical foundation to expand data coverage across London and beyond.

• You'll be an experienced Geospatial Data Engineer, GIS Engineer or similar, with a strong technical background in processing location-based data and turning complex information into reliable, usable datasets.
• Python and SQL, including building data pipelines and API integrations.
• PostgreSQL/PostGIS and spatial data modelling.
• GIS tools such as QGIS and geospatial libraries including GeoPandas, Shapely or GDAL.
• Geospatial concepts including coordinate systems, spatial accuracy, topology, spatial joins and geofencing.
• Processing formats such as GeoJSON, GeoPackage, shapefiles, CSV and JSON.
• Applying AI to data extraction, processing or quality assurance.
• Software engineering best practices, including Git, testing, reproducible workflows and technical documentation.
• You'll also be an analytical problem-solver who enjoys investigating complex data issues, improving data quality and working collaboratively with developers to deliver practical solutions.
• A willingness to undertake occasional field verification across London is important when mapping issues cannot be resolved through desk-based analysis alone.
• Будет плюсом: Experience in transport, mapping, surveying, logistics or mobility technology would be useful, as would knowledge of parking regulations, road-user charging, GNSS positioning, map matching or spatial machine learning

• Условий в вакансии нет