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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 01.09.2025 - 01.03.2026
Start date 01.09.2025 - 15.09.2025
Technology
  • MS SQL Server
  • Power BI
  • TSQL
  • Lakehouse
  • Azure Data Lake
  • Azure Databricks
  • Azure Data Factory
  • Azure DevOps
  • PySpark
  • Azure Synapse Analytics
Languages
  • English flag English - active, B2/C1/C2

Project description

  • You will participate in the modernization of the data platform for a global leader in logistics – moving from on-prem DWH to Microsoft Fabric with an emphasis on scalability, availability, and data quality
  • You work in a compact senior team that designs and builds solutions on Lakehouse / Warehouse and unifies data flows for reporting and advanced analytics
  • You migrate tables and pipelines from existing MS SQL Server solutions to Fabric (Lakehouses, Warehouses)
  • You convert semantic models from SSAS / Azure Analysis Services to Fabric semantic models and ensure their management and operability
  • You design and implement Medallion architecture (Bronze / Silver / Gold / Platinum) and develop new functions across layers
  • You develop and debug Pipelines and Notebooks (SparkSQL / PySpark), cover internal testing and quality documentation
  • You manage versioning and CI/CD in Azure DevOps and oversee flawless data quality within the migration scope
  • Collaboration in the mode of 60% onsite (3 days a week in Prague) / 40% remote, candidates based in the Czech Republic

Project requirements

  • Advanced experience with:
    • Microsoft Fabric – at least 1 year hands-on, ideally more than 1 completed project or demonstrable POC in a developer role
    • T-SQL and migrations from MS SQL Server (on-prem) – min. 2 years of experience
    • Fabric Lakehouse / Warehouse / Pipelines / Notebooks (SparkSQL)
    • design and operation of Medallion architecture with a focus on data quality
  • Experience with:
    • Azure Data services – cumulatively min. 2 years and at least 3 of: Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Databricks, Synapse Analytics
    • PySpark for batch/stream data processing
    • CI/CD and repository management in Azure DevOps
  • Advanced knowledge of:
    • semantic models – min. 2 years with Analysis Services Tabular or Azure Analysis Services or advanced modeling in Power BI
    • language DAX including optimization of calculations and model performance
  • Knowledge of:
    • English at B2+ level (fluent written and spoken communication in an international team)
    • best practices for testing, schema versioning, data governance and documentation
  • Advantage:
    • Azure Log Analytics (monitoring, KQL queries)
    • metadata-driven development approach
    • tuning performance of DAX and Power BI report development
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