Senior Data Engineer

Intellias; Logroño; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in climate risk intelligence is seeking a Senior Data Engineer to enhance and analyze large datasets. This role involves leveraging GenAI and geospatial data to support decision-making for insurers and investors. The ideal candidate will have a strong background in data engineering and a passion for climate-related challenges.

Formación

• Experience in data engineering and analysis.
• Proficiency in handling large datasets.
• Familiarity with geospatial data and GenAI technologies.

Responsabilidades

• Research and analyze global asset-level datasets.
• Improve name-matching algorithms for datasets.
• Collaborate with Product and Modeling teams.

Conocimientos

Data analysis

Geospatial data

GenAI

Data engineering practices

Descripción del empleo

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.