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Geospatial Data Engineer – GIS & Python @ Pauwels Consulting

BE100, BEOnsiteFull-time
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About this role

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 .

Skills

SQLPythonPandasQGISETLFMEGeospatial Datacoordinate systemspatial joinsgeometric dataData analysisData quality

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