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Microsoft fabric data engineer in enterprise analytics

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вакансия зп не указана
в среднем 204 840 ₽
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Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

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.

задачи

  • 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

требования

  • 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
  • Будет плюсом: 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

условия

  • 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.

Глобальная компания в сфере digital engineering, product development и технологического консалтинга.

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