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Wallet icon Coin icon Rate 6 600 € - 7 600 € / month info
Timer icon Form of cooperation Full-time / 80% Remote
Briefcase icon Sector Insurance
Location icon Location Bratislava

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with the possibility of extension
Period of cooperation 01.08.2026 - 31.07.2027
Start date 01.08.2026 ASAP or by agreement
Project duration 12 months with the possibility of extension
Period of cooperation 01.08.2026 - 31.07.2027
Start date 01.08.2026 ASAP or by agreement
Technology
  • SQL
  • GIT
  • Python
  • WS Webservice REST
  • Pandas
  • NumPy
  • Databricks
Languages
  • English flag English - active, B2/C1/C2
  • Slovak or Czech flag Slovak or Czech - native

Project description

  • collaboration within the newly formed Risk Accumulation Management Platform (RAMP) team and will be responsible for developing high-performance API services, geospatial solutions, and real-time computation components built on the Databricks platform
    • the goal is to centralize, analyze, and make insurance risk data available in real-time
  • the project is part of the strategic transformation of risk exposure management in the insurance industry
  • the task will be to design and implement high-performance API services and computation engines that will provide:
    • geospatial calculations
    • risk scoring
    • catastrophe modelling
    • risk classification
    • underwriting support
    • real-time data access
  • the project bridges Data Engineering, API Development, and modern Databricks Model/Feature Serving technologies
  • tasks and responsibilities:
    • design and development of high-performance REST API services
    • implementation of computation engines for:
      • catastrophe modelling
      • risk accumulation calculations
      • exposure analytics
    • design and implementation of geospatial API services
    • development of services for:
      • geocoding
      • distance calculations
      • risk classification
      • spatial indexing
    • implementation of Databricks Model Serving solutions
    • implementation of Databricks Feature Serving endpoints
    • design of integration interfaces for:
      • reporting systems
      • underwriting applications
      • dashboards
      • analytical platforms
    • optimization of API service performance
    • design of monitoring and observability
    • implementation of:
      • load testing
      • performance testing
      • health monitoring
    • collaboration with:
      • actuaries
      • catastrophe modellers
      • underwriters
      • Data Engineering team
    • representativeness and cooperation with the Data Engineer within the team
  • technologies used
    • Must-have stack
      • Python
      • REST APIs
      • Databricks
      • SQL
      • Pandas
      • NumPy
      • Git
      • CI/CD
    • Project stack
      • Databricks Model Serving
      • Databricks Feature Serving
      • Lakehouse Architecture
      • Delta Lake
      • Geospatial Processing
      • Spatial Indexing
      • API Design
      • Automated Testing
      • DevOps
      Nice-to-have
      • GeoPandas
      • Shapely
      • H3
      • Azure Functions
      • Azure API Management
      • Azure Storage
      • MLFlow
      • C#
      • .NET
      • Databricks ETL
      • Insurance Data Platforms
         
  • collaboration possible in a hybrid REMOTE + ON-SITE mode [1 day per week, Bratislava], or based on further agreement with the client
  • final remuneration depends on the candidate's experience and the course of the selection process

Project requirements

  • minimum 4–5 years of experience in backend or data solutions development
  • advanced experience with:
    • Python
    • Pandas
    • NumPy
  • experience with design and development of:
    • REST API
    • integration services
  • experience with:
    • Databricks
    • Model Serving or Feature Serving
  • knowledge of:
    • SQL
    • Lakehouse architecture
  • experience with:
    • CI/CD
    • Git
    • automated testing
  • ability to design scalable production solutions
     
  • active knowledge of English at a communicative level (min. B2-C1)
     
  • a big advantage:
    • geospatial technologies:
      • GeoPandas
      • Shapely
      • H3
    • Azure Cloud
    • Azure Functions
    • Azure API Management
    • MLFlow
    • Databricks Delta Lake
    • ETL pipeline
    • experience from:
      • insurance
      • risk management
      • financial sector
    • experience with catastrophe modelling
       
  • strong analytical and organizational skills
  • ability to solve problems effectively
  • independence and willingness to learn
  • strong interpersonal and communication skills (written and verbal)
  • team player
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