Data Engineer Microsoft Azure (m / w / d)

Devoteam M Cloud Germany; Frankfurt; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading tech consulting firm in Frankfurt is seeking a Data Engineer to design and maintain scalable data pipelines using Azure services. The ideal candidate will have 3+ years of experience in Azure ecosystems, be fluent in German and English, and have strong SQL skills. Join a collaborative team focused on cloud-native data solutions.

Qualifikationen

• 3+ years of real-world project experience as a Data Engineer in Azure ecosystems.
• Hands-on experience with Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric.
• Strong communication and documentation skills in German & English.

Aufgaben

• Design, build, and maintain scalable data pipelines using Azure Data Services.
• Consolidate structured / unstructured data into governed lakes and warehouses.
• Optimize performance and cost efficiency of the data infrastructure.

Kenntnisse

Data Engineering in Azure ecosystems

Fluent in German and English

SQL and performance tuning

Dimensional data modeling

Azure Data Factory

Databricks

Tools

Azure DevOps

GitHub Actions

Microsoft Power BI

Jobbeschreibung

Overview

Job Description

• 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.
• 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

• 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.