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Wallet icon Coin icon Rate 6 800 € - 8 000 € / month info

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

Timer icon Form of cooperation Freelance: Full-time
Briefcase icon Sector Insurance
Location icon Location Bratislava, 70% Remote
Project duration 12 months with the possibility of extension
Period of cooperation 01.06.2026 - 31.05.2027
Start date 01.06.2026 or by agreement
Project duration 12 months with the possibility of extension
Period of cooperation 01.06.2026 - 31.05.2027
Start date 01.06.2026 or by agreement

Technology

  • Apache Hive
  • SQL
  • SCRUM
  • Hadoop
  • Python
  • Palantir Foundry
  • PySpark

Languages

  • English flag English - active, B2/C1/C2
  • Slovak or Czech flag Slovak or Czech - native

Project description

  • collaboration in data processing, transformation and analysis on a modern data platform using Python, PySpark and SQL
  • tasks and responsibilities:
    • development of data solutions in Python / PySpark
    • working with large datasets
    • creation and optimization of data transformations
    • working with SQL / Spark SQL
    • support for data pipelines in an enterprise platform
    • collaboration with international teams
    • data analysis and support for data outputs for business
    • participation in the design, implementation and testing of data solutions
  • tech stack:
    • Python
    • PySpark / Apache Spark
    • SQL / Spark SQL
    • Palantir Foundry
    • Spark / Hive / Hadoop
    • JavaScript / HTML / CSS – advantageous
    • AWS or Azure – advantageous
  • agile development methodology [Scrum] supported by DevOps standards
     
  • collaboration is possible in a hybrid mode, ON-SITE 1 day a week [Bratislava], or by agreement on the project / the rest REMOTE
  • final remuneration depends on the candidate's experience and the course of the selection process

Project requirements

  • min. 5-year provable project experience with large software or data systems
  • advanced knowledge:
    • Python
    • PySpark
    • SQL
    • ideally Spark SQL
  • experience with Palantir Foundry
  • experience with large datasets
  • experience with enterprise data platforms
  • experience with distributed data processing:
    • Spark
    • Hive
    • Hadoop
       
  • active knowledge of the English language written and spoken (min. B2-C1)
     
  • advantageous:
    • experience with AWS or Azure cloud environment
    • knowledge of JavaScript, HTML, CSS
    • experience from insurance, or financial sector, or finance function in another industry
       
  • ability to work in a global and multicultural environment
  • strong analytical skills
  • ability to react flexibly and adapt to change
  • proactive approach

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