ASCENDION ENGINEERING SOLUTIONS POLAND SP. Z O.O.Wrocław, Lower Silesia, Poland
30+ days ago
Job description
technologies-expected :
Python
JavaScript
responsibilities :
Provide technical leadership for our geospatial technology stack, guiding architecture decisions and establishing best practices
Lead a cross-functional team of developers, data scientists, and geospatial specialists in building scalable solutions
Drive the evolution of our geospatial services including natural hazard scoring, satellite imagery analysis via computer vision, and post-catastrophe event analysis
Design and optimize APIs and data products that effectively serve both internal stakeholders (underwriters, actuaries, claims teams) and external clients
Collaborate with product managers to translate business requirements into technical specifications and implementation plans
Collaborate with architects and CTO to define scalable architectures aligned with our platform principles
Mentor and grow technical talent within the team while fostering a culture of innovation
Evaluate emerging geospatial technologies and recommend strategic adoptions to maintain competitive advantage
requirements-expected :
7+ years of experience in geospatial technology and software development, with atleast 3 years in a technical leadership position
Deep expertise with geospatial data processing, including raster (e.g : tiff, cog) and vector data (e.g. : geojson, geoparquet, h3), analysis, and visualization tools (e.g.,PostGIS, Mapbox, QGIS, ArcGIS, Carto, Felt…)
Strong background in modern cloud architecture (AWS) and API design for geospatial applications
Proficiency in Python and Javascript with hands-on experience using geospatial libraries and frameworks (e.g., gdal, rasterio, geopanda, leaflet)
Expertise in distributed geospatial data processing, including practical experience with big data (Spark, GeoSpark / Sedona, or equivalent)
Experience in designing and implementing data pipelines for ingesting, processing, and analyzing geospatial data using event-driven architectures.
Knowledge of data storage solutions that are optimized for geospatial data (ie : PostGIS)
Ability to ensure data quality, integrity, and compliance within data management practices
Experience with computer vision techniques applied to satellite or aerial imagery
Knowledge of natural catastrophe modeling concepts and approaches a plus
Familiarity with insurance industry terminology and workflows (property underwriting, risk assessment, claims) is highly valuable
benefits :
sharing the costs of sports activities
private medical care
flexible working time
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Technology Lead Technology • Wrocław, Lower Silesia, Poland