Geospatial Data Engineer – GIS & Python

Our client, a leading organization in the telecommunications sector, is looking for a specialist to oversee address data and geospatial systems for large-scale infrastructure projects. This role focuses on ensuring data integrity across network deployment phases, automating reporting cycles, and developing scripts to optimize design engineering workflows.

Responsibilities: Manage the end-to-end address lifecycle, ensuring consistency across various network inventory and building databases; develop and validate build lists for network deployment areas by reconciling multiple data sources; maintain high data quality standards by performing pre-submission checks and correcting source data to meet contractual requirements; build and reconcile databases for infrastructure assets, including poles and street capacity registers; automate regulatory reporting processes to ensure reliable and efficient data submission; support design engineering by creating validation rules and scripts using geospatial and data analysis tools; collaborate with internal teams and external partners to document workflows and share technical expertise.

Requirements: 5+ years of experience in data analysis, data quality, or data engineering within a geospatial context; advanced proficiency in SQL for complex queries, joins, and cross-system data reconciliation; strong scripting skills using Python and pandas for data processing and workflow automation; deep knowledge of geospatial data, including coordinate systems, spatial joins, and geometry data using QGIS; hands-on experience running and modifying ETL workflows such as FME; a Bachelor or Master in Geomatics, GIS, Data Science, or Engineering; autonomy and proactivity in resolving complex data issues and triaging tasks by impact; meticulousness with address and geometry data and focus on repeatable, documented processes; fluency in French with professional knowledge of English.

Nice to haves include direct experience with PyQGIS or QGIS plugin development, knowledge of regional address and cadastral references such as BeST Address, ICAR, or Belmap, familiarity with telecommunications network inventories and infrastructure assets, experience building internal tools with Power BI or Microsoft Fabric, and active knowledge of Dutch.

Offer: Start date 16/11/2026, project length until 30/06/2027, full-time, location Brussels, hybrid work model with occasional site visits, and contract open to both permanent employees and freelancers.