EPAM

Microsoft fabric data engineer in enterprise analytics

In short

This role builds and runs enterprise-grade data and analytics solutions on Microsoft Fabric and Power BI for EPAM's clients, covering everything from Lakehouse/Warehouse pipelines and medallion architectures to semantic models, DAX, and performance tuning. It's a hybrid position based in Berlin at a large IT consultancy, requiring 3+ years in data engineering or BI development with at least 1 year of hands-on Microsoft Fabric experience and strong SQL/PySpark skills. English B2+ and German B1+ are required.

About the Role
Enterprise organizations face mounting pressure to unify, govern and activate data across complex platforms and business units. This is the Microsoft Fabric Data Engineer (m/f/d) role at EPAM in Germany, the Netherlands or the UK, working hybrid. You help clients build, deploy and run enterprise-grade data and analytics solutions using Microsoft Fabric and Power BI, collaborating both remotely and on-site. The role connects target architectures and design documents to production-ready solutions, automating deployments and ensuring every delivery meets engineering standards.
Responsibilities
•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
Requirements
•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
Conditions
•30 days holiday per annum
•Company Pension Scheme
•Regular performance assessments
•Discount on Fitness-First Black Membership
•bitkom - Corporate Benefits
•Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
•Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
•Friendly and enjoyable working team
•Regular corporate and social events
•Flexible and remote working opportunities
•Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction

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