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Wallet icon Coin icon Rate 6 600 € - 7 200 € / month info
Timer icon Form of cooperation Full-time / 40% Remote
Briefcase icon Sector Logistics
Location icon Location Praha

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 04.08.2025 - 04.02.2026
Start date 04.08.2025 - 11.08.2025
Technology
  • MS SQL Server
  • Power BI
  • TSQL
  • Lakehouse
  • Azure DevOps
  • PySpark
Languages
  • English flag English - active, B2/C1/C2

Project description

  • Participating in the modernization of enterprise-wide data analytics – migration of a robust BI solution for a global logistics company from an on-premise environment to Microsoft Fabric
  • As a member of a compact team of senior engineers, designing and building a data platform that will accelerate decision-making in the supply chain and pave the way for predictive analysis
  • Migration of tables from on-prem SQL Server to Fabric Lakehouse / Warehouse
  • Conversion of existing SSAS semantic models to Fabric semantic models and ensuring their operability
  • Designing the structure of the Bronze / Silver / Gold / Platinum layers (Medallion architecture) and development of a new data pipeline
  • Creation and modification of Pipelines and Notebooks (SparkSQL / PySpark), ensuring internal testing and documentation
  • Version management and CI/CD in Azure DevOps, including deployment to individual environments
  • Collaboration takes place in a 60% onsite (3 days a week in Prague) / 40% remote ratio

Project requirements

 

  • Advanced experience with:
    • Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks – SparkSQL)
    • T-SQL – at least 5 years of experience in data engineering
    • Power BI / Fabric semantic models and DAX
    • PySpark in Spark / Databricks / Fabric environments
    • Azure DevOps (repository, build and release pipelines)
  • Experience with:
    • creating data models according to Medallion architecture
    • automated testing and documentation of data solutions
  • Advanced knowledge of:
    • data quality principles, schema versioning, and pipeline monitoring
    • English at B2 level and higher (actively)
  • Knowledge of:
    • independent work in an agile (Scrum/Kanban) environment
  • Advantage:
    • Azure Log Analytics (metric definition and KQL queries)
    • metadata-driven development approach
    • SSAS Tabular and performance tuning of DAX
    • report development in Power BI
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