Requirements: English
Company: Intellias
Region: Badajoz , Extremadura
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 .