Data Engineer Microsoft Azure (m/w/d)

Devoteam M Cloud Germany; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading cloud technology firm in Frankfurt is seeking an experienced Data Engineer to design and maintain scalable data pipelines using Azure Data Services and ensure data integrity. The ideal candidate should have over 3 years of experience in Azure ecosystems, be fluent in German and English, and possess advanced SQL skills along with a strong background in dimensional data modeling. This role offers collaboration in a remote-friendly team focused on modern cloud-native solutions.

Qualifikationen

• 3+ years of real-world project experience as a Data Engineer in Azure ecosystems.
• Fluent in German and English.
• Advanced SQL and performance tuning skills.
• Strong background in dimensional data modeling and familiarity with ETL patterns.
• Hands-on experience with Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric.

Aufgaben

• Design and maintain scalable data pipelines using Azure Data Services.
• Consolidate structured and unstructured data into governed lakes and warehouses.
• Implement robust data models and storage architectures.
• Ensure data integrity and quality across the full lifecycle.
• Collaborate in client workshops to translate requirements into solutions.

Kenntnisse

Data Engineering in Azure ecosystems

Fluent in German

Fluent in English

Advanced SQL

Performance tuning

Dimensional data modeling

ETL patterns

Azure Data Factory

Azure Synapse

Databricks

Tools

Microsoft Power BI

Delta Lake

Unity Catalog

Feature Store

Jobbeschreibung

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.