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Wallet icon Coin icon Rate 160 000 CZK - 200 000 CZK / month info
Timer icon Form of cooperation Full-time / 50% Remote
Briefcase icon Sector Card, payment
Location icon Location Praha

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 10.11.2025 - 09.11.2026
Start date 10.11.2025 - 30.11.2025
Technology
  • Power BI
  • SQL
  • Azure Data Factory
Languages
  • English flag English - active, B2/C1/C2
  • Slovak or Czech flag Slovak or Czech - native

Project description

  • Identification and analysis of data in source systems and their integration into a data warehouse according to reporting needs
  • Design and management of the data model structure, including documentation and the creation of a reporting layer for business users
  • Collaboration with the data engineering team on building robust and sustainable data pipelines
  • Ensuring that the data model is designed efficiently and in accordance with the requirements of reporting tools (e.g. Power BI)
  • Collaboration with data analysts, business analysts, and stakeholders to translate business requirements into an effective data structure
  • Active participation in increasing data quality, identifying problems, and proposing solutions
  • Participation in analytical and reporting tasks to ensure the consistency of the data model with business needs

Project requirements

  • Advanced experience with:
    • Data modeling, DWH architecture design and the creation of reporting layers
    • SQL and relational database principles (query optimization, procedure creation, data integration)
  • Experience with:
    • ETL/ELT processes and data integration tools
    • Azure Data Platform or similar systems (Snowflake, BigQuery)
    • Reporting tools such as Power BI
  • Advanced knowledge of:
    • Data modeling concepts (star/snowflake schema, normalization/denormalization)
    • DWH architecture principles and data governance
  • Advantage:
    • Knowledge of other cloud platforms (AWS, GCP)
    • Experience in the financial sector or data-driven organizations
    • University degree in IT, data science, or statistics
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