Data Engineer - Geospatial Domain 80% - 100%

Position

Vollzeit

Mid

Daten & Analytik

Konditionen

Luzern

80–100%

Anforderungen

EU/EFTA-Bewilligung

Skills

Data orchestration (Airflow/Dagster)Spatial indexingShapefileGDAL/OGRGeocodingGeoJSONSearch and ranking logicGoOpenStreetMap (OSM)Cloud ArchitectureETLPostgreSQL

Sprachen

Englisch

Beschreibung

You will be working on designing and building the geospatial data pipeline that powers our products. As part of our data team you will be heavily involved in our "ground truth," finding and integrating novel datasets, staying ahead of the latest research, and building the high-performance services that bring our map to life. A part of this role also centres on our points-of-interest (POI), geocoding, and search capabilities, the systems that let users find places and turn addresses or names into precise locations.

Aufgaben

Sourcing and integrating foundational datasets from open sources like OpenStreetMap, regional government portals, and commercial providers.
Designing and building ETL/ELT pipelines to clean, transform, and load geospatial data into our core database.
Optimizing data for performance, including generating vector tiles and structuring data for fast, low-latency queries.
Developing and maintaining high-performance APIs in Go to expose our mapping data to our mobile and web applications.
Researching and implementing cutting-edge techniques in areas like spatial indexing, routing algorithms, POI/address conflation, and geocoding to make our map smarter.
Managing and scaling our geospatial database infrastructure, likely using PostGIS.
Collaborating with product and design to understand data requirements and deliver features that delight users.
Building and curating our POI dataset; ingesting, deduplicating, and conflating places from multiple sources into a single authoritative record.
Designing forward and reverse geocoding pipelines to translate between addresses, place names, and coordinates with high accuracy.
Developing search and ranking logic (e.g. autocomplete, fuzzy matching, relevance scoring) to return the right result from a partial or messy query.

Anforderungen

A strong portfolio or GitHub profile showcasing relevant data engineering or backend projects.
Deep experience with geospatial databases, particularly PostGIS, and a strong command of spatial SQL.
Proficiency in a backend programming language, with a strong preference for Go.
Hands-on experience processing large-scale geospatial datasets (e.g., the full OpenStreetMap planet file).
Familiarity with geospatial data formats (e.g., GeoJSON, Shapefile, Protobuf) and tooling (GDAL/OGR).
Experience with data orchestration (Airflow/Dagster) and cloud infrastructure.
Experience building or working with geocoding, address parsing, or place-search systems (e.g. Nominatim, Pelias, Photon, or a bespoke pipeline).
Familiarity with full-text/search tooling and relevance ranking (e.g. Elasticsearch/OpenSearch, or PostgreSQL FTS) is a plus.

Technologien

PostGISGoAirflowDagsterNominatimPeliasPhotonElasticsearchOpenSearchPostgreSQL

Vorteile

A collaborative and supportive team with short decision-making paths.
Exciting and meaningful projects using modern technologies.
The opportunity to contribute your ideas and take ownership of your work.
Competitive compensation and opportunities for professional growth.
A culture that values learning, knowledge sharing, and continuous improvement.
Grow with a young, ambitious company that values innovation, initiative, and ownership.

Unternehmen

LiveMap AG

Software

Kontakt

Ms Unger