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Wallet icon Coin icon Rate 8 400 € - 9 600 € / month info
Timer icon Form of cooperation Full-time / 90% Remote
Briefcase icon Sector Information Technology
Location icon Location Viedeň

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

Project duration 2-3 months with the possibility of extension
Period of cooperation 01.06.2026 - 31.07.2026
Start date 01.06.2026 or by agreement
Project duration 2-3 months with the possibility of extension
Period of cooperation 01.06.2026 - 31.07.2026
Start date 01.06.2026 or by agreement
Technology
  • MS Azure
  • Azure Databricks
  • PySpark
Languages
  • English flag English - active, B2/C1/C2
  • German flag German - active, B2/C1/C2

Project description

  • collaboration on the implementation and stabilization of a data platform built on Azure Lakehouse (Databricks)
  • responsibility for:
    • integration of data sources
    • implementation of data quality rules
    • management of data pipelines
    • support of the reporting layer (Power BI)
  • emphasis is placed on:
    • technical implementation (hands-on)
    • data quality and solution stability
    • fast onboarding (short-term project)
  • tasks and responsibilities:
    • implementation of data integration pipelines according to defined interfaces
    • management and activation of data flows from source systems
    • implementation and management of data quality rules (DQX framework)
    • data profiling and data validation
    • design and implementation of data models
    • version control, deployment, and release management pipeline
    • ensuring the operational stability of the data platform
    • implementation of additional data quality controls
    • provision of data services (data interfaces)
    • support with Power BI models and reports and dashboards
       
  • collaboration is possible mostly in a REMOTE mode, ON-SITE by agreement on the project [Vienna]
  • final remuneration depends on the candidate's experience and the selection process

Project requirements

  • min. 4 years demonstrable project experience with Azure Lakehouse
  • strong experience with:
    • Databricks (Azure)
    • PySpark
  • experience with:
    • data pipeline development
    • data integration
    • data quality (DQX or similar frameworks)
    • data modelling
    • Power BI (modelling, DAX, reporting)
    • CI/CD and version control (Azure DevOps / Git)
  • knowledge of:
    • Lakehouse architecture
       
  • active knowledge of the German language spoken and written (min. C1)
     
  • advantageous:
    • experience with:
      • Terraform (IaC)
      • Data Mesh / modern data platform architectures
      • API integrations
         
  • strong analytical skills
  • ability to react flexibly and adapt to change
  • proactive approach
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