Microsoft Fabric Data Engineer

EPAM Systems; Greater London; Hybride; GBP 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

ESPP

Life insurance & income protection

Private medical insurance

Dental care

Employee Assistance Program

Pension plan

Cycle scheme & season ticket loans

Free Wednesday lunch in-office

Résumé du poste

EPAM Systems in the United Kingdom is hiring a Microsoft Fabric Data Engineer to design, deploy and run enterprise-grade data and analytics solutions using Microsoft Fabric and Power BI. You will collaborate with Solution Architects, client IT and data teams, creating production-ready solutions across on-site and remote settings.

The role emphasizes end-to-end architecture implementation, data pipelines, and semantic modeling while ensuring data quality, security and performance in regulated

Qualifications

• 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 production or PoC project.
• 2+ years of Power BI development experience: semantic modeling, advanced DAX, Power Query (M).
• Strong SQL (T-SQL) skills and good working knowledge of Python/PySpark and Spark SQL.
• Experience with Azure data services (Azure Data Factory, ADLS Gen2, Azure SQL, Synapse or Databricks).

Responsabilités

• Implement end-to-end Microsoft Fabric solutions based on approved architecture, including OneLake, Lakehouse, Warehouse, Data Factory pipelines and notebooks.
• Build medallion architectures (Bronze/Silver/Gold) with incremental loads and error handling.
• Set up ingestion from diverse sources using pipelines and mirroring.
• Write clean, reusable and tested code in PySpark, Spark SQL and T-SQL.
• Add data quality checks, validation rules, logging and alerting to pipelines.
• Build enterprise semantic models using Direct Lake, Import or DirectQuery as specified.
• Write efficient DAX measures and Power Query transformations.
• Build dashboards following design guidelines and best practices.

Connaissances

SQL (T-SQL)

Python/PySpark

Spark SQL

Power BI development

Data modeling

ETL

DAX

Git

Outils

Git

CI/CD

Tabular Editor

DAX Studio

Fabric CLI

Power BI Service

Azure Data Factory

Databricks

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 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 offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program