Geospatial Data Engineer – GIS & Python

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

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

Nice to Haves

• 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.
• Active knowledge of Dutch.