Data Engineer Microsoft Azure (m/w/d)

Das ist der Job

Overview Do you want to not only experience but actively shape the unique DNA of Microsoft ?

Darum lohnt es sich

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. Note: This description outlines responsibilities, qualifications, and benefits for a Data Engineer role focusing on Azure data services and related technologies.

Example Use Cases You Will Work On Modernize legacy ETL workflows with Azure-native services. Experience working in agile, cross-functional teams.

Benefits Modern offices in prime locations in Munich, Frankfurt, and Stuttgart Flexible remote or hybrid working with the option to customize your working hours and locations to your individual needs Our Devoteam Academy offers a wide range of certified trainings and language courses International development opportunities to boost your career at Devoteam Gaming lounge for your creative break between meetings and calls Get-together parties and team events for regular exchange and fun with your colleagues Employee referral bonuses for attracting new employees Modern IT equipment - choose the product that suits you best from a variety of options Corporate benefits with a large selection of numerous offers for almost every area "Jobrad" (company bike) offer with attractive tax advantages for you Company pension scheme, direct insurance, and capital-forming benefits Integration Day including mentoring programs for your perfect start at Devoteam Additional Information You will be part of a collaborative, remote-friendly team that values continuous learning and delivering impact through modern cloud-native data solutions. #J-18808-Ljbffr Responsibilities Design, 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.

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. Qualifications Must-Haves 3+ years of real-world project experience as a Data Engineer in Azure ecosystems.

Fluent in German and English. Advanced 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 Skills Strong 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.