Requirements: English
Company: Intellias
Region: Murcia , Region of Murcia
Senior Data Engineer Climate Risk & Geospatial IntelligenceJoin 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.ResponsibilitiesResearch, 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.Requirements5+ 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 .