Data Engineer Microsoft Azure (mwd)

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.

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.

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.
• Experience working in agile cross-functional teams.

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.

Remote Work: No

Employment Type: Full-time

Key Skills: Client Server, Ab initio, Acting, Accounts Assistant Credit Control, Light Bus And Heavy Bus, Dns

Experience: years

Vacancy: 1