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Senior Azure Data Engineer - Agentic AI Platform(m/w/x)
Designing lakehouse architecture for AI platforms, implementing zero-ETL data integration using Azure OneLake/Fabric, Unity Catalog, and Purview. 5+ years Azure data platform experience and German fluency required. Trust-based working hours, opportunity to test new tools.
Requirements
- At least 5 years of experience in Azure data platforms
- In-depth knowledge of data architecture and distributed systems
- Experience with infrastructure as code and CI/CD
- Strong communication and leadership skills
- Fluency in German and very good English skills
Tasks
- Design architecture for lakehouse platforms
- Implement zero-ETL data integration via mirroring
- Utilize Azure services like OneLake and Fabric
- Implement Unity Catalog for centralized data management
- Establish fine-grained access control with Purview
- Build DataOps frameworks using Delta Live Tables
- Manage performance and costs with automated monitoring tools
- Develop security and compliance concepts
- Integrate VNet, Private Link, Key Vault, and AD
- Mentor junior engineers and lead code reviews
- Assist with architecture decisions
- Advise stakeholders on data strategy and technology selection
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure Data Lake
- Databricks
- Synapse
- Fabric
Benefits
Flexible Working
- Trust-based working hours
- Hybrid working
- Remote working
Learning & Development
- Targeted further training
Modern Equipment
- Opportunity to test new tools
Diverse Work
- Diversity & inclusion
Mentorship & Coaching
- Leadership influence
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Senior Azure Data Engineer - Agentic AI Platform(m/w/x)
Designing lakehouse architecture for AI platforms, implementing zero-ETL data integration using Azure OneLake/Fabric, Unity Catalog, and Purview. 5+ years Azure data platform experience and German fluency required. Trust-based working hours, opportunity to test new tools.
Requirements
- At least 5 years of experience in Azure data platforms
- In-depth knowledge of data architecture and distributed systems
- Experience with infrastructure as code and CI/CD
- Strong communication and leadership skills
- Fluency in German and very good English skills
Tasks
- Design architecture for lakehouse platforms
- Implement zero-ETL data integration via mirroring
- Utilize Azure services like OneLake and Fabric
- Implement Unity Catalog for centralized data management
- Establish fine-grained access control with Purview
- Build DataOps frameworks using Delta Live Tables
- Manage performance and costs with automated monitoring tools
- Develop security and compliance concepts
- Integrate VNet, Private Link, Key Vault, and AD
- Mentor junior engineers and lead code reviews
- Assist with architecture decisions
- Advise stakeholders on data strategy and technology selection
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure Data Lake
- Databricks
- Synapse
- Fabric
Benefits
Flexible Working
- Trust-based working hours
- Hybrid working
- Remote working
Learning & Development
- Targeted further training
Modern Equipment
- Opportunity to test new tools
Diverse Work
- Diversity & inclusion
Mentorship & Coaching
- Leadership influence
About the Company
paiqo GmbH
Industry
IT
Description
The company develops intelligent solutions integrating AI models and agents into data platforms.
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