Microsoft Fabric Data Engineer

• Implement end-to-end Microsoft Fabric solutions based on approved architecture, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Notebooks (PySpark/Spark SQL) and Real-Time Intelligence
• Build medallion architectures (Bronze/Silver/Gold), including incremental loads, change data capture, slowly changing dimensions and error handling
• Set up ingestion from diverse sources (SQL databases, APIs, files, SaaS applications, SAP, streaming sources) using pipelines, shortcuts and mirroring
• Write clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tables
• Add data quality checks, validation rules, logging and alerting to data pipelines
• Build enterprise semantic models (star schema) using Direct Lake, Import or DirectQuery as specified in the architecture
• Write efficient DAX measures, calculation groups and Power Query (M) transformations
• Build reports and dashboards that follow customer design guidelines and best practices
• Implement row-level and object-level security, sensitivity labels and workspace permissions as defined in the security concept
• Tune model and report performance using tools like DAX Studio, Tabular Editor, Best Practice Analyzer and Performance Analyzer

• 3+ years of hands-on experience in data engineering, BI development or data platform implementation
• 1+ year of hands-on Microsoft Fabric experience, with at least one delivered production or proof-of-concept project
• 2+ years of Power BI development experience: semantic modeling, advanced DAX, Power Query (M), Power BI Service administration and performance tuning
• Strong SQL (T-SQL) skills and good working knowledge of Python/PySpark and Spark SQL in notebooks
• Hands-on experience with Azure data services (Azure Data Factory, ADLS Gen2, Azure SQL, Synapse or Databricks)
• Solid understanding of data warehousing and lakehouse concepts, Delta/Parquet formats and dimensional modeling (Kimball)
• Experience with Real-Time Intelligence (Eventstreams, Eventhouse/KQL, Activator)
• Ability to turn architecture documents and requirements into working, well-documented solutions
• Analytical mindset, structured way of working and strong focus on quality
• English (B2+) and German (B1+) communication skills

Nice to have

• Certifications: DP-700 (strongly preferred), DP-600, PL-300, DP-203 or Azure data engineering background
• Experience with Microsoft Purview (data catalog, lineage, sensitivity labels)
• Familiarity with Power Platform (Power Apps, Power Automate, Dataverse) and its integration with Fabric, such as translytical task flows or Dataverse links
• Knowledge of Semantic Link, Fabric REST APIs and community tools (Tabular Editor, DAX Studio, ALM Toolkit, Fabric CLI)
• Hands-on experience with Git, CI/CD and deployment pipelines for data and BI solutions
• Experience with Infrastructure as Code (Bicep/Terraform) and automated testing for data pipelines
• Awareness of AI and GenAI on data platforms: Copilot in Fabric, Fabric data agents, Azure AI Foundry, preparing data for retrieval-augmented generation scenarios
• Experience in migration projects from Synapse, Databricks, Snowflake, SSAS, Tableau or Qlik
• Experience in regulated industries such as finance, insurance, healthcare, energy, manufacturing or the public sector

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program