Microsoft Fabric Data Engineer (m/f/d)

EPAM Systems; Deutschland; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

EPAM Systems in Germany is seeking a Microsoft Fabric Data Engineer to design, deploy and run enterprise-grade data and analytics solutions. You will work on hybrid projects, integrating OneLake, Lakehouse, data warehouses and data factory pipelines to production-ready platforms, collaborating with architects, IT and business users.

The role focuses on building scalable pipelines, data models and security controls, writing PySpark, T-SQL and DAX, and delivering high-quality, observable solutions

Qualifications

• 3+ years hands-on data engineering, BI development or data platform implementation.
• 1+ year Microsoft Fabric experience with production or PoC delivery.
• 2+ years Power BI development: semantic modeling, DAX, Power Query, service admin and performance tuning.
• Strong SQL (T-SQL) and Python/PySpark in notebooks.
• Experience with Azure data services: ADF, ADLS Gen2, Azure SQL, Synapse or Databricks.
• Understanding of data warehousing and lakehouse concepts (Kimball, Delta/Parquet).

Responsibilities

• Implement end-to-end Microsoft Fabric solutions aligned to approved architecture.
• Set up ingestion from diverse sources using pipelines and data flows.
• Write clean, tested PySpark, Spark SQL, T-SQL and KQL code.
• Add data quality checks, logging and alerting to pipelines.
• Build enterprise semantic models using Direct Lake, Import or DirectQuery.
• Write efficient DAX measures and Power Query transformations.
• Create reports and dashboards following design guidelines.
• Implement row-level and object-level security and sensitivity labels.
• Tune performance using DAX Studio, Tabular Editor and Performance Analyzer.
• Collaborate with Solution Architects, client IT and data teams.
• Translate architectures into production-ready data solutions.

Skills

Data engineering

BI development

Power BI

SQL

Python/PySpark

Spark SQL

Azure data services

Delta/Parquet

DAX

Power Query

KQL

Data security

Tools

Azure Data Factory

ADLS Gen2

Azure SQL

Synapse

Databricks

Job description

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. You work closely with Solution Architects, client IT and data teams, and business users, raising risks early and contributing to high-quality, maintainable solutions. The work matters because trusted, accessible data drives real business outcomes and supports growth across regulated industries.

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

• 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