Requirements: English
Company: Intellias
Region: Gorguja , Catalonia
Senior Data Engineer Climate Risk & Geospatial Intelligence Join a pioneering team developing Location Risk Intelligence a global SaaS platform empowering insurers, banks, corporates, and real estate investors to assess and act on location-specific climate risks. As a Senior Data Engineer, youll drive the creation, enhancement, and analysis of massive asset-level datasets, leveraging GenAI, geospatial data, and advanced data engineering practices. Your work will directly enable smarter decisions on climate reporting, underwriting, and investments worldwide.
Responsibilities * Research, structure, and analyze global asset-level datasets using public, purchasable, or GenAI-driven sources. * Improve name-matching algorithms for company, building, and POI datasets. * Enhance, clean, and prepare large geospatial and exposure datasets for real-world applications. * Support ad-hoc data processing tasks for client deliverables and content marketing. * Collaborate with Product and Modeling teams to ensure high-quality, actionable data output. * Document methodologies, technical pipelines, models, and software code.
Requirements * 5+ years of hands-on data engineering experience. * Prior work in GIS engineering or climate risk analysis. * Strong with large datasets, asset-level exposure data, and name matching algorithms. * Programming skills: Python, SQL, R, or MATLAB. * Data tools experience: Databricks, Apache Spark. * (Nice to have) Experience with geospatial stacks: PostGIS, QGIS, ArcGIS. * Creative, structured thinker with a passion for sustainability and climate impact.