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Wallet icon Coin icon Rate 7 000 € - 8 400 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Banking
Location icon Location 100% Remote

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

Project duration 6 months with the possibility of extension
Period of cooperation 01.06.2026 - 31.12.2026
Start date 01.06.2026 or by agreement
Technology
  • SQL
  • SCRUM
  • Apache Spark
  • Python
  • Azure Data Lake
  • Azure Databricks
  • PySpark
Languages
  • English flag English - active, B2/C1/C2
  • German flag German - active, B2/C1/C2

Project description

  • analysis of data requirements and collaboration with business and IT stakeholders
  • management and coordination of data requirements (requirements management)
  • collaboration with various source systems for data integration
  • design of data models in a data warehouse environment
  • data modeling with an emphasis on Data Vault architecture
  • collaboration with data engineering teams in the implementation of data solutions
  • support for the design of data pipelines and transformations
  • documentation of data models and data flows
  • working in an agile environment according to Scrum methodology
     
  • collaboration is possible in a 100% REMOTE mode (ON-SITE is an advantage), during the onboarding phase in the first weeks, it is necessary to count on ON-SITE to an agreed extent

Project requirements

  • min. 3 years of practical experience with requirements analysis/creation, ideally in a data environment
  • senior level experience in data analytics / data engineering
  • advanced experience with:
    • requirements management / requirements engineering
    • coordinating data from multiple source systems
    • data modeling in a data warehouse environment
    • Data Vault methodology
    • working in a Scrum / Agile environment
       
  • German language at least at B2 level
  • candidate must be located within the European Economic Area (EEA)
     
  • advantageous experience with:
    • Databricks
    • dbt (data build tool)
    • Python language
    • working in the banking sector
    • SQL as a query language
       
  • experience with data platforms in the financial sector is a big advantage
     
  • strong analytical and systematic thinking
  • ability to connect business requirements with data architecture
  • experience with complex data ecosystems
  • good communication skills in collaboration with various teams
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