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Wallet icon Coin icon Rate 7 200 € - 8 400 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Insurance
Location icon Location 100% Remote

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

Project duration 12 months with possibility of extension
Period of cooperation 15.01.2026 - 31.01.2027
Start date 15.01.2026 - 15.03.2026
Technology
  • Oracle
  • PostgreSQL
  • SQL
  • SCRUM
  • Apache Spark
  • Python
  • WS Webservice REST
  • WS Webservice SOAP
  • Azure Data Lake
  • Azure Databricks
  • Azure Data Factory
  • PySpark
Languages
  • English flag English - active, B2/C1/C2

Project description

  • development of modern Lakehouse architecture built on Azure Datalake using Python and PySpark framework for implementing business services in the insurance sector
  • implementation of business functions that enable running accounting processes and generating data to meet reporting requirements
  • designing, developing, automating, and supporting backend applications that combine data elements from multiple domains and systems
  • collaboration with:
    • other engineers, analysts, product owners, and stakeholders to deliver value-added solutions that meet business needs and expectations
    • the team's lead engineer to create a target architecture for products within the team's scope
  • design of data transformation services and data flows and active participation in coding
  • presenting and communicating ideas and proposals to various stakeholders for evaluation and brainstorming purposes
  • implementing software engineering practices to ensure the quality, performance, and sustainability of applications
  • mentoring and supporting the development of professional skills of junior colleagues
  • conducting peer code reviews
     
  • collaboration possible in a hybrid mode ON-SITE min. 5-10% [ Bratislava ] + REMOTE (or based on closer agreement with the client)
  • final remuneration depends on the candidate's experience and the selection process

Project requirements

  • min. 4 years of demonstrable project experience in data [PySpark, Databricks] engineering
  • advanced knowledge of:
    • PySpark framework for creating and optimizing complex data pipelines
    • Azure Cloud environment (Databricks, Data Factory, Data Lakes)
    • SQL language for querying and manipulating data
  • experience with:
    • Scrum/Agile development methodologies
    • working in a global distributed team in a multicultural environment
  • ability to clearly articulate technical topics to a non-technical audience 
     
  • active knowledge of English language at a communicative level (min. B2-C1)
  • min. Bachelor's degree or equivalent in computer science, data science, or a similar discipline
     
  • advantageous experience with:
    • relational databases (Oracle, PostgreSQL)
    • integration technologies (REST/SOAP API)
    • working in Azure DevOps
    • projects in the insurance industry or financial sector
       
  • strong analytical and organizational skills
  • ability to effectively solve problems
  • self-reliance and willingness to learn
  • strong interpersonal and communication skills (written and verbal)
  • team player
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