Data Engineer Microsoft Azure (m/w/d)

Unternehmensbeschreibung

Do 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 2022
• 1,000 Microsoft experts in EMEA
• 600 customers
• 25 years of industry experience
• 18 Advanced Specializations - including "Azure Virtual Desktop Advanced Specialization" and "Modernization of Web Applications to Microsoft Azure"
• 6 Solution Partner Designations
• 3 MVPs

Imagine 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!

#AI Driven Tech Consulting

Your Benefits: In addition to our revolutionary New Way of Work culture, you'll enjoy:

• Modern offices in prime locations in Munich and Frankfurt
• Flexible hybrid working with the option to customize your working hours 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 are available to you as additional services
• Integration Day including mentoring programs for your perfect start at Devoteam

Stellenbeschreibung

• 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.

 

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.

Qualifikationen

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.
• Experience working in agile, cross-functional teams.

Zusätzliche Informationen

You will be part of a collaborative, remote-friendly team that values continuous learning and
delivering impact through modern cloud-native data solutions.