Geospatial Data Engineer — Python, SQL & QGIS (Hybrid, Brussels)

Pauwels Consulting

Brussel

Hybride

EUR 96 000 - 148 000

Plein temps

Il y a 2 jours
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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

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.

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