Senior Data Engineer

Intellias; Sevilla; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Senior Data Engineer to join their pioneering team in developing a global SaaS platform focused on climate risk assessment. The role involves analyzing massive geospatial data and enhancing algorithms to support smarter climate-related decisions for clients worldwide.

Formación

• 5+ years of hands-on experience in climate risk analysis.
• Strong expertise with asset-level exposure data and name matching algorithms.
• Creative, structured thinker with a passion for sustainability.

Responsabilidades

• Research, structure, and analyze global climate risk data.
• Improve name-matching algorithms for datasets.
• Collaborate with Product and Modeling teams.

Conocimientos

Climate risk analysis

Data analysis

Programming in Python

SQL

R

Databricks

Apache Spark

Geospatial stacks

Herramientas

PostGIS

QGIS

ArcGIS

Descripción del empleo

Senior Data Engineer – Climate Risk & Geospatial Intelligence

Join a pioneering team developing 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 geospatial data, GenAI, and related practices. Your work will directly enable smarter decisions on climate reporting, underwriting, and investments worldwide.

Responsibilities

1. Research, structure, and analyze global climate risk data using public, purchasable, or GenAI-driven sources.
2. Improve name-matching algorithms for company, building, and POI datasets.
3. Enhance, clean, and prepare large geospatial and exposure datasets for real-world applications.
4. Support ad-hoc data processing tasks for client deliverables and content marketing.
5. Collaborate with Product and Modeling teams to ensure high-quality, actionable data output.
6. Document methodologies, technical pipelines, models, and software code.

Requirements

• 5+ years of hands-on experience in climate risk analysis.
• Strong expertise with asset-level exposure data and name matching algorithms.
• Programming skills in Python, SQL, R, or Databricks, Apache Spark.
• (Nice to have) Experience with geospatial stacks: PostGIS, QGIS, ArcGIS.
• Creative, structured thinker with a passion for sustainability and climate impact.