About the Role
About the Role
As a Geospatial Data Specialist in our boundaries product team, you are responsible for maintaining and enhancing our PostGIS-based polygon data, sourcing and cleaning data, and supporting internal projects. This position is ideal for someone with a strong interest in geography and cultural differences who seeks a regular, predictable assignment in a collaborative environment.
About the Company
GeoPostcodes is a fast-growing Belgian DaaS company. We are the global reference with the most complete and accurate postal code, geolocation and population databases. Fortune 500 giants like Amazon, UPS, IBM and American Express rely on our datasets and our expertise to strengthen their position as market leaders.
Responsibilities
Research, scrape and acquire geographic and postal data sources.
Perform data cleaning, validation and integration into our PostGIS database.
Integrate pre-existing vector and polygon data or build polygon maps from available sources.
Insert pre-processed data into a topological model to ensure polygons continue to match perfectly, even after simplification.
Perform regular country updates and contribute to the day-to-day maintenance of our global boundaries datasets.
Help define and improve the methodologies used for boundary processing, geometric modelling and topological validation.
Identify opportunities to automate or improve existing data processes and internal tooling.
Guide colleagues in applying geospatial methodologies and making appropriate modelling choices.
Collaborate on small-scale internal projects to process and analyse geographic data.
Qualifications
5 years of experience with GIS software such as QGIS or ArcGIS to visualize and process geospatial data.
A Bachelor’s degree or higher in a relevant field such as Geomatics, Geography, Data Science, or Computer Science.
Strong proficiency in SQL.
Excellent written and spoken English language skills.
Preferred Skills
Experience with PostGIS.
Competency in Python for data processing and scripting tasks.
Good coaching skills.
Experience with spatial data formats (Cloud GIS, STAC, GeoParquet, shapefile, GeoJSON, ...).
Experience with web scraping tools and techniques.
Experience with applying AI to geo-spatial problems.
We offer
We offer a great bunch of passionate international, open-minded industry experts who want to achieve results together. The opportunity to combine hands-on geospatial data work with methodological ownership. Frequent town hall meetings, team dinners and team buildings!
The world as your playground from a funky co-working space at MeetDistrict Madou, located in the heart of Europe’s capital. A company where you can be fully transparent and open about what’s going well, but also what you are struggling with, and a group of colleagues who help each other to win as a team.