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Geospatial Technology Lead
New
Data

Geospatial Technology Lead

Wrocław
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Hybrid
ALTEN Polska

ALTEN Polska

ALTEN obecny w 25 krajach na całym świecie, zatrudnia ponad 37 000 inżynierów oraz specjalistów IT. Tworzymy systemy informatyczne, rozwijamy medycynę, budujemy samoloty, pociągi, pojazdy elektryczne i autonomiczne, a nawet rakiety kosmiczne.

Tech stack

    English

    C1

    Python

    advanced

    JavaScript

    regular

    AWS

    regular

    GeoJSON

    regular

    GeoParquet

    regular

    PostGIS

    regular

    Mapbox

    regular

    Rasterio

    regular

    Sedona

    regular

    Apache Spark

    regular

Job description

Online interview

🗝️We’re looking for an experienced Geospatial Technology Lead to join our Client's team in Wroclaw. In this role, you’ll drive the technical vision and lead the development of cutting-edge geospatial solutions that support property risk assessment and post-disaster analytics!


🔖Full-time

🔖Hybrid work: 1-2 days/week from Wrocław office

🔖Start: as soon as possible


MAIN TASKS:

  • Lead the design and evolution of scalable geospatial services, including satellite imagery analysis and natural hazard modeling.
  • Provide architectural guidance and define best practices for geospatial tech stack.
  • Oversee a cross-functional team of developers, data scientists, and GIS experts.
  • Build robust APIs and data products tailored to internal users (e.g., underwriters, actuaries) and external clients.
  • Stay current with emerging technologies in geospatial analytics and recommend relevant tools or frameworks.


WHAT DO WE REQUIRE?

  • 7+ years in geospatial technology and software development, with 3+ years in a technical leadership role.
  • Solid experience with both raster (TIFF, COG) and vector (GeoJSON, H3, GeoParquet) data.
  • Hands-on experience with visualization tools such as PostGIS, QGIS, Mapbox, or ArcGIS.
  • Strong cloud experience, especially in AWS architecture and geospatial API design.
  • Proficiency in Python and JavaScript, including libraries like GDAL, Rasterio, GeoPandas, and Leaflet.
  • Knowledge of distributed data processing (e.g., Apache Spark, Sedona/GeoSpark).
  • Advanced English - at least B2+
  • Experience with event-driven architectures and scalable data pipelines.
  • Familiarity with computer vision applied to satellite or aerial imagery.
  • Understanding of catastrophe modeling concepts is a plus.
Undisclosed Salary

B2B