Data Engineer Microsoft Azure

UnternehmensbeschreibungDo you want to not only experience but actively shape the unique DNA of Microsoft? Then Devoteam M Cloud is the right place for you Our core business is cloud-based enterprise customer projects, where we drive the most modern Microsoft technologies. The building blocks that distinguish us:2,100 Microsoft certifications completed in 20221,000 Microsoft experts in EMEA600 customers25 years of industry experience18 Advanced Specializations - including "Azure Virtual Desktop Advanced Specialization" and "Modernization of Web Applications to Microsoft Azure"6 Solution Partner Designations3 MVPsImagine being part of one of the most successful IT companies in Europe, leveraging the latest technologies with its customers to elevate them to the next level. Apply now at Devoteam M Cloud #Creative Tech For Better Change Your Benefits: In addition to our revolutionary New Way of Work culture, you'll enjoy:Modern offices in prime locations in Munich, Frankfurt, and StuttgartFlexible remote or hybrid working with the option to customize your working hours and locations to your individual needsOur Devoteam Academy offers a wide range of certified trainings and language coursesInternational development opportunities to boost your career at DevoteamGaming lounge for your creative break between meetings and callsGet-together parties and team events for regular exchange and fun with your colleaguesEmployee referral bonuses for attracting new employeesModern IT equipment - choose the product that suits you best from a variety of optionsCorporate benefits with a large selection of numerous offers for almost every area"Jobrad" (company bike) offer with attractive tax advantages for youCompany pension scheme, direct insurance, and capital-forming benefits are available to you as additional servicesIntegration Day including mentoring programs for your perfect start at DevoteamStellenbeschreibungDesign, build, and maintain scalable data pipelines using Azure Data Services, Databricks and/or Microsoft Fabric.Consolidate structured/unstructured data into governed lakes and warehouses for BI and AI use cases.Implement robust data models and storage architectures (Star, Snowflake, Medallion).Ensure data integrity and quality, lineage, security, and governance across the full lifecycle.[Optional] Automate workflows using Azure DevOps, GitHub Actions, or other CI/CD tools.Collaborate in client workshops, translating requirements into technical Azure-native solutions.Optimize performance and cost efficiency of the data infrastructure.Example Use Cases You Will Work On:Modernize legacy ETL workflows with Azure-native services.Build semantic models for enterprise BI using Star/Snowflake schema.Design medallion-structured ingestion flows to enable batch or near-real-time analytics.Deliver curated, governed data products for BI and AI use cases.QualifikationenMust-Haves:3+ years of real-world project experience as a Data Engineer in Azure ecosystems.fluent in german and englishAdvanced SQL and performance tuning.Strong background in dimensional data modeling and familiarity with ETL patterns, like medallion architecture.Hands-on experience with Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric.Nice-to-Haves:Proficiency in Microsoft Power BI.Exposure to Data Mesh or domain-oriented data architectures.Experience with Delta Lake, Unity Catalog, or Feature Store.Soft SkillsStrong communication and documentation skills (German & English).Agile, delivery-oriented mindset.Collaborative and self-directed approach.Analytical thinking with a focus on value delivery.Ability to translate business requirements into technical solutions.Experience working in agile, cross-functional teams.Zusätzliche InformationenYou will be part of a collaborative, remote-friendly team that values continuous learning and delivering impact through modern cloud-native data solutions.