Were looking for an experienced Geo Data Engineer to join a Europeanwide Data & Engineering function focused on largescale spatial modeling and applied research. The team combines data science systems design and geospatial computation to deliver advanced analytical and mapping capabilities across multiple products and research initiatives.
Example Projects you could be working on:
- Industrialising a spatial classification pipeline deployed across several European markets.
- Building and optimising an address suggestion and validation API for highvolume environments.
- Designing a nationalscale geographic database and deploying it via an interactive mapping platform.
- Redesigning monitoring and alerting systems for hundreds of production data pipelines.
- Developing a highvolume routing engine for internal research applications.
Tasks
About the Team
Youll work alongside engineers analysts and researchers with deep expertise in:
- Computational and spatial data processing
- Geocoding vector modeling and webmapping frameworks
- Data extraction transformation and integration at scale
- Distributed systems and software architecture
The team partners with academic and technical experts in mathematics statistics and machine learning to design scalable cloudbased platforms for spatial data analysis visualization and automation.
What Youll Do
- Design and maintain pipelines databases and tools to process geographic and spatial data.
- Develop qualitymonitoring and enrichment scripts using Python Jupyter and SQL.
- Integrate external data sources to enhance locationbased models and datasets.
- Collaborate with product data and engineering stakeholders to solve spatial challenges.
- Drive prioritization and delivery of initiatives related to foundational spatial datasets.
- Contribute to cloud and automation workflows supporting largescale data operations.
Requirements
The Ideal Candidate
You bring a balance of technical strength curiosity and adaptability with experience in:
- GIS tools and data manipulation (QGIS geocoding coordinate systems projections).
- Clean efficient code in Python and analytical queries in SQL.
- Familiarity with Pandas Airflow Terraform and similar data or DevOps tools.
- Comfort working in crossfunctional teams of engineers researchers and analysts.
- Interest in largescale European spatial data integration and modelling.
Technical Environment
- Core stack: Python Docker Airflow (MWAA) PostgreSQL (RDS Aurora) OpenSearch Terraform CircleCI Datadog
- GIS technologies: PostGIS GDAL QGIS
- Frontend & visualisation: React Mapbox GL JS
- Cloud platform: AWS (Fargate RDS S3 Lambda)
Were looking for an experienced Geo Data Engineer to join a Europeanwide Data & Engineering function focused on largescale spatial modeling and applied research. The team combines data science systems design and geospatial computation to deliver advanced analytical and mapping capabilities across mu...
Were looking for an experienced Geo Data Engineer to join a Europeanwide Data & Engineering function focused on largescale spatial modeling and applied research. The team combines data science systems design and geospatial computation to deliver advanced analytical and mapping capabilities across multiple products and research initiatives.
Example Projects you could be working on:
- Industrialising a spatial classification pipeline deployed across several European markets.
- Building and optimising an address suggestion and validation API for highvolume environments.
- Designing a nationalscale geographic database and deploying it via an interactive mapping platform.
- Redesigning monitoring and alerting systems for hundreds of production data pipelines.
- Developing a highvolume routing engine for internal research applications.
Tasks
About the Team
Youll work alongside engineers analysts and researchers with deep expertise in:
- Computational and spatial data processing
- Geocoding vector modeling and webmapping frameworks
- Data extraction transformation and integration at scale
- Distributed systems and software architecture
The team partners with academic and technical experts in mathematics statistics and machine learning to design scalable cloudbased platforms for spatial data analysis visualization and automation.
What Youll Do
- Design and maintain pipelines databases and tools to process geographic and spatial data.
- Develop qualitymonitoring and enrichment scripts using Python Jupyter and SQL.
- Integrate external data sources to enhance locationbased models and datasets.
- Collaborate with product data and engineering stakeholders to solve spatial challenges.
- Drive prioritization and delivery of initiatives related to foundational spatial datasets.
- Contribute to cloud and automation workflows supporting largescale data operations.
Requirements
The Ideal Candidate
You bring a balance of technical strength curiosity and adaptability with experience in:
- GIS tools and data manipulation (QGIS geocoding coordinate systems projections).
- Clean efficient code in Python and analytical queries in SQL.
- Familiarity with Pandas Airflow Terraform and similar data or DevOps tools.
- Comfort working in crossfunctional teams of engineers researchers and analysts.
- Interest in largescale European spatial data integration and modelling.
Technical Environment
- Core stack: Python Docker Airflow (MWAA) PostgreSQL (RDS Aurora) OpenSearch Terraform CircleCI Datadog
- GIS technologies: PostGIS GDAL QGIS
- Frontend & visualisation: React Mapbox GL JS
- Cloud platform: AWS (Fargate RDS S3 Lambda)
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