Data Engineer Microsoft Azure (m/w/d)

Devoteam M Cloud Germany; Frankfurt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading cloud solutions provider is seeking a Data Engineer to design and maintain scalable data pipelines using advanced Azure services. The role requires 3+ years of experience, strong SQL skills, and familiarity with dimensional data modeling. Join a collaborative, remote-friendly team dedicated to delivering impactful cloud-native data solutions.

Qualifikationen

• 3+ years of project experience as a Data Engineer in Azure ecosystems.
• Fluent in German and English.
• Hands-on experience with ETL patterns and dimensional modeling.

Aufgaben

• Design and maintain scalable data pipelines using Azure Data Services.
• Ensure data integrity, quality, and governance across the full lifecycle.
• Build semantic models for enterprise BI using Star/Snowflake schema.

Kenntnisse

Advanced SQL

Data modeling

ETL patterns

Communication

Analytical thinking

Tools

Azure Data Factory

Databricks

Microsoft Fabric

Jobbeschreibung

• 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.

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.

You will be part of a collaborative, remote-friendly team that values continuous learning and

delivering impact through modern cloud-native data solutions.

Data Engineer Data • Frankfurt am Main, Hesse, Germany