Data Engineer Microsoft Azure (m/w/d)
Data Engineer Microsoft Azure (m/w/d)
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Salary Not Disclosed
1 Vacancy
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.
- 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.
Zustzliche Informationen :
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
Employment Type
Full-time
