Microsoft Fabric Data Engineer (m/f/d)

EPAM Systems; Frankfurt; Hybride; EUR 65 000 - 120 000; Plein temps

Avantages offerts par ce poste

30 days holiday per annum

Company Pension Scheme

Regular performance assessments

Fitness-First corporate discount

ESPP

Résumé du poste

EPAM Systems in Frankfurt, Germany, is seeking a Microsoft Fabric Data Engineer to design and implement enterprise-grade data and analytics solutions. You will work on end-to-end Fabric deployments, build data pipelines, and collaborate with solution architects and client teams.

The role requires 3+ years in data engineering, strong SQL/Python skills, and experience with Azure data services. Hybrid work and international project exposure are offered.

Qualifications

• 6+ years of hands-on data engineering or BI development experience.
• Strong SQL and Python/PySpark skills.
• Experience with Microsoft Fabric, Power BI, and Azure data services.

Responsabilités

• Implement end-to-end Microsoft Fabric solutions based on architecture.
• Build Bronze/Silver/Gold medallion architectures and data pipelines.
• Set up ingestion from diverse sources (SQL, APIs, files, SAP, SaaS).
• Write PySpark, Spark SQL, T-SQL and KQL code.
• Add data quality checks, logging and alerting in pipelines.
• Build enterprise semantic models and Direct Lake / DirectQuery.

Connaissances

SQL (T-SQL)

Python/PySpark

Spark SQL

Power BI development

Data modeling

DAX measures

Outils

Azure Data Factory

Azure Synapse

Databricks

Power BI Service

Tabular Editor

DAX Studio

Description du poste

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.ResponsibilitiesImplement 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 IntelligenceBuild medallion architectures (Bronze/Silver/Gold), including incremental loads, change data capture, slowly changing dimensions and error handlingSet up ingestion from diverse sources (SQL databases, APIs, files, SaaS applications, SAP, streaming sources) using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using Direct Lake, Import or DirectQuery as specified in the architectureWrite efficient DAX measures, calculation groups and Power Query (M) transformationsBuild reports and dashboards that follow customer design guidelines and best practicesImplement row-level and object-level security, sensitivity labels and workspace permissions as defined in the security conceptTune model and report performance using tools like DAX Studio, Tabular Editor, Best Practice Analyzer and Performance AnalyzerRequirements3+ years of hands-on experience in data engineering, BI development or data platform implementation1+ year of hands-on Microsoft Fabric experience, with at least one delivered production or proof-of-concept project2+ years of Power BI development experience: semantic modeling, advanced DAX, Power Query (M), Power BI Service administration and performance tuningStrong SQL (T-SQL) skills and good working knowledge of Python/PySpark and Spark SQL in notebooksHands-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 solutionsAnalytical mindset, structured way of working and strong focus on qualityEnglish (B2+) and German (B1+) communication skillsNice to haveCertifications: DP-700 (strongly preferred), DP-600, PL-300, DP-203 or Azure data engineering backgroundExperience 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 linksKnowledge 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 solutionsExperience with Infrastructure as Code (Bicep/Terraform) and automated testing for data pipelinesAwareness of AI and GenAI on data platforms: Copilot in Fabric, Fabric data agents, Azure AI Foundry, preparing data for retrieval-augmented generation scenariosExperience in migration projects from Synapse, Databricks, Snowflake, SSAS, Tableau or QlikExperience in regulated industries such as finance, insurance, healthcare, energy, manufacturing or the public sectorWe offer30 days holiday per annumCompany Pension SchemeRegular performance assessmentsDiscount on Fitness-First Black Membershipbitkom - Corporate BenefitsEmployee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)Learning and development opportunities, including in-house training and coaching, professional certifications, and coursesFriendly and enjoyable working teamRegular corporate and social eventsFlexible and remote working opportunitiesAward-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.