Descripción de la oferta
GIS Engineer with PythonPara ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación.Location: Remote from Spain (an indefinite Spanish employment contract)Our client is a global location data and technology company that helps people and businesses make better decisions — from supporting cities in managing infrastructure to guiding drivers safely to their destinations. Their solutions power navigation and location services used by millions of users worldwide and aim to create a positive impact on everyday life.We are looking for a Python GIS Engineer to join a strategic map quality initiative focused on building intelligent, automated systems that improve the accuracy and reliability of digital maps.Project Overview:The project aims to industrialize and scale an automated, data‑driven approach to measuring Client map content quality against multiple ground truth sources. Instead of relying primarily on manual or single‑source validation, the project builds an auto‑matching and auto‑scoring capability that compares Client content to a curated set of external and internal references (e.g., imagery, probes, community sources, audit data) and generates repeatable quality metrics.You will work on developing GIS-based Python pipelines that automatically compare and match map data against multiple ground truth sources. The system calculates standardized quality KPIs and exposes results through reusable services and dashboards used by product and customer-facing teams.TechnologiesPython (core language)GIS / spatial data processing tools (FME, ArcGIS or QGIS)Geospatial libraries (e.g., GeoPandas, Shapely, GDAL or similar)Data processing pipelinesSQL and data analysis toolsCloud environment (AWS or similar)Requirements:3+ years of experience in Python developmentStrong experience with data processing tools ArcGIS, QGIS, FME’s, Geospatial librariesStrong understanding of spatial/GIS conceptsExperience working with spatial data processingSolid knowledge of algorithms and data structuresExperience working with large datasetsGood SQL skillsEnglish level: Upper-Intermediate or higherWill be a plus:Experience in map data xqbhyrx processing or navigation systemsExperience building data pipelinesCloud experience (AWS is a plus)Experience with performance optimization of data-heavy workflowsResponsibilities:Design and develop spatial data processing pipelinesImplement and improve auto-matching algorithms for map data comparisonContribute to building scalable and reusable quality assessment servicesEnsure performance, accuracy, and reliability of spatial workflowsCollaborate with cross-functional teams to define and improve quality metricsParticipate in architecture discussions and technical improvementsContribute to continuous optimization and automation of quality processes
