Geospatial Data Engineer – GIS & Python

Pauwels Consulting; Brussel; Hybride; EUR 96 000 - 148 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Pauwels Consulting in Brussels is seeking a senior data engineer specialized in geospatial data to oversee address data and geospatial systems for large-scale infrastructure projects. You will ensure data integrity across network inventories, automate reporting cycles, and develop scripts to streamline design engineering workflows.

The role requires 5+ years in geospatial data analysis, strong SQL, Python/pandas expertise, and hands-on QGIS with ETL tools such as FME.

Qualifications

• 5+ years in data analysis, data quality, or data engineering in a geospatial context.
• Advanced SQL proficiency for complex queries and data reconciliation.
• Strong Python and pandas scripting for automation.
• Deep geospatial knowledge including coordinate systems and spatial joins using QGIS.
• Experience with ETL workflows such as FME.
• Bachelor or Master in Geomatics, GIS, Data Science, or Engineering.
• Autonomous and proactive in resolving data issues.
• Fluent French with professional knowledge of English.

Responsabilités

• Oversee address data lifecycle and ensure consistency across network inventories.
• Develop build lists for deployment areas by reconciling data sources.
• Maintain data quality with pre-submission checks and corrections.
• Build and reconcile databases for infrastructure assets like poles and capacity registers.
• Automate regulatory reporting processes.
• Create validation rules and scripts to support design engineering.
• Document workflows and share technical expertise with internal/external teams.

Connaissances

SQL

Python

Pandas

Geospatial

ETL

QGIS

Geomatics

French

English

Formation

Geomatics / GIS / Data Science / Engineering degree

Outils

PyQGIS

QGIS

Power BI

Microsoft Fabric

Description du poste

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.

• 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.

• 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.

• Start date: 16/11/2026
• Duration: project length until 30/06/2027
• Work regime: Full-time
• Location: Brussels
• Working model: Hybrid with occasional site visits
• Contract: open to both permanent employees and freelancers