17 of 17 PostGIS Jobs

designing scalable geospatial applications using AWS or Azure. Experience working with GIS platforms, geospatial data and spatial APIs. Knowledge of open geospatial technologies including PostGIS, GeoServer, OpenLayers, Leaflet, GDAL or QGIS. Experience with geospatial applications that integrate cloud platforms, AI, and Earth Observation data to solve real-world challenges Understanding ...

solutions using AWS and/or Azure. Strong knowledge of GIS platforms, spatial data management and open-source geospatial technologies, including tools such as PostGIS, GeoServer, QGIS, Leaflet, OpenLayers or similar. Experience integrating geospatial services and APIs into enterprise applications. Strong understanding of architecture governance, security, scalability and non-functional ...

reviewing complex FME Form workspaces and delivering enterprise-scale automations in FME Flow Highly proficient in ArcGIS technologies, Python, and database development, including PostGIS, schemas, metadata, data versioning, and standards Excellent communicator and problem-solver, with strong business development capability, a passion for innovation, and a drive to continuously expand ...

rapidly prototype innovative solutions. Nice to HaveExperience with NVIDIA Omniverse, OpenUSD, or Unreal Engine. Cloud platform expertise across AWS, Azure, or GCP.Geospatial technologies including PostGIS, GeoJSON, Cesium, or GIS platforms. Experience with Kafka, Kinesis, or Pub/Sub. Exposure to edge computing technologies such as NVIDIA Jetson. Knowledge of robotics ...

experience includes: 1Spatial 1Integrate/1DataGateway 1Spatial 1Integrate/1DataGateway ArcGIS Enterprise, ArcGIS Pro or ArcGIS Online QGIS and open-source geospatial technologies PostGIS and PostgreSQL SQL and database design Python scripting and automation Utility, telecommunications, infrastructure or government datasets What We Offer Hybrid and flexible working arrangements Professional certification ...

modern platform transitions). Strong programming experience in Python applied to spatial analysis and automation. High proficiency in SQL (spatial indexing, relational queries, PostGIS, MS SQL, or Oracle Spatial). Secondary/Working Knowledge Practical experience within Azure environments and Azure DevOps (pipelines, repos, work item tracking). Experience documenting ...

modern platform transitions). Strong programming experience in Python applied to spatial analysis and automation. High proficiency in SQL (spatial indexing, relational queries, PostGIS, MS SQL, or Oracle Spatial). Secondary/Working Knowledge Practical experience within Azure environments and Azure DevOps (pipelines, repos, work item tracking). Experience documenting ...

DeepAR or similar. Experience working with small or scarce datasets for distribution prediction. Proven ability to build data pipelines/database architectures using PostgreSQL, PostGIS, Redis or time-series databases . Experience or knowledge in at least one of: Vibration analysis Digital signal/waveform processing (DSP) Physics-informed models ...

seeing them through end to end. Experience with geospatial data processing, road-network data or routing engines (e.g. OpenStreetMap, TomTom, HERE or Overture data, PostGIS, navigation APIs) would be a strong advantage. Experience with Bazel or monorepo build systems is desirable but not mandatory. Experience with workflow orchestration tools such ...

with geospatial and location-based datasets, including their structures and common use cases. Hands-on experience with geospatial technologies and tools such as GeoServer, PostGIS, WKT, S2, or H3. Exposure to Test-Driven Development (TDD) and modern observability stacks (Datadog, OpenTelemetry, metrics, tracing). Experience working on high-throughput ...

technical decisions and work well within a teamDesirablePython experience, particularly building APIs with FastAPIGeospatial experience - a real bonus, whether in Python (GeoPandas, Shapely, rasterio, PostGIS) or on the web (Leaflet, Mapbox GL/MapLibre, OpenLayers, Turf.js, or working with GeoJSON and map tiles)Experience building with LLM agent SDKs ...

Vepler Ltd is seeking an experienced engineer to own core ingestion, entity resolution, and geospatial data pipelines for its UK property intelligence platform. You will shape architecture, deploy your work, and collaborate directly with founders ...

clearly through unfamiliar problem domains under real constraints. Core Skills Core technologies: Rust, with Python at some API boundaries. Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes. Candidates are not expected to have experience with all of these, but adjacent understanding is crucial. Systems thinking: Comfortable designing ...

GIS Specialist Reporting to: Principal Data Engineer Role Overview To develop the geospatial data foundation, utilising our data mesh and bringing together geospatial datasets, EO and internal data to create a scalable spatial data solution. ...

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 … complex information into reliable, usable datasets. You'll ideally have experience with: 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 ...

open-source technologies (MapLibre GL JS, deck.gl, OpenLayers, CesiumJS). Experience designing and operating raster and vector tiling solutions using COG, Zarr, STAC, TiTiler, PostGIS or similar technologies, with sound judgement on dynamic versus pre-rendered tiling and its caching and cost consequences. Strong understanding of OGC standards, including … reference system handling. Solid programming skills in Python and SQL applied to geospatial processing, APIs and data platforms (GDAL/OGR, rasterio, GeoPandas, xarray, PostGIS, FastAPI). A pragmatic, expert-level approach to AI-assisted and agentic development tools, holding the same quality bar as hand-written work. Effective collaboration ...

address, site or property, and raise coverage across the estate Build geospatial datasets from source acquisition through to a versioned product customers query, with PostGIS and the pipeline tooling around it Make the architecture decisions in your domain and see them through to production Set the standard for how systems … indexes, and what a write costs at scale Data pipelines built for change: retries, idempotency, deduplication, backfills and change detection Practical geospatial work with PostGIS or similar: spatial queries, coordinate systems, geometry validation Diagnosing production problems on your own and fixing them properly Clear written English, particularly about failure ...