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🌎 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.
🧩 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.
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