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 .