Descripción
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