Data Engineer Microsoft Azure (mwd)

Devoteam; Frankfurt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A data solutions firm in Frankfurt is looking for a Data Engineer with experience in Azure ecosystems. The role involves designing and maintaining data pipelines, implementing data models, and ensuring data quality. Candidates must have at least 3 years of relevant experience and be fluent in both German and English. This full-time position does not offer remote work, but it values collaboration and continuous learning. Skills in SQL and familiarity with data patterns such as medallion architecture are required.

Qualifikationen

• 3 years of real-world project experience as a Data Engineer in Azure ecosystems.
• Fluent in German and English.
• Strong background in dimensional data modeling.
• Hands-on experience with Azure Data Factory, Synapse, and Databricks.

Aufgaben

• Design, build and maintain scalable data pipelines using Azure.
• Implement robust data models and storage architectures.
• Ensure data integrity and quality across the full lifecycle.
• Collaborate in client workshops translating requirements.

Kenntnisse

Data Engineering

Azure Data Services

SQL

Data Modeling

Performance Tuning

Fluent in German and English

Agile Mindset

Tools

Azure Data Factory

Synapse

Databricks

Microsoft Fabric

Power BI

Jobbeschreibung

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