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, you’ll 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.