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Azure Data Engineer II - Agentic AI Platform(m/w/x)
Developing batch/streaming pipelines for Agentic AI platforms, integrating new Azure features like mirroring and Delta Live Tables at a developer of intelligent AI solutions. 2-5 years data engineering experience with strong SQL and Python skills required. Trust-based working hours, opportunity to test new tools.
Requirements
- 2–5 years of experience in data engineering
- Very good SQL and Python skills
- Knowledge of CI/CD and DevOps processes
- Knowledge of cloud security and governance
- Solution-oriented thinking
- Strong communication skills
- Willingness to learn new things
- Very good German skills
- Good English skills
Tasks
- Plan and develop robust batch and streaming pipelines
- Maintain Azure Data Factory, MS Fabric, and Databricks
- Integrate new Azure features like mirroring and Delta Live Tables
- Implement Unity Catalog for centralized governance
- Automate deployments and testing using CI/CD
- Utilize infrastructure as code with Bicep or Terraform
- Ensure data quality, lineage, and security
- Use Microsoft Purview and role-based access control
- Collaborate with data scientists and product owners
- Translate requirements into scalable data solutions
- Evaluate new services like Lakeflow or Microsoft Fabric
Work Experience
- 2 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Advanced
Tools & Technologies
- Azure Data Services
- Data Factory
- Databricks
- MS Fabric
- Delta Lake
- Event Hubs
- Kafka
Benefits
Flexible Working
- Trust-based working hours
- Hybrid working
- Remote working
Learning & Development
- Targeted further training
Modern Equipment
- Opportunity to test new tools
Informal Culture
- Inclusive environment
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Azure Data Engineer II - Agentic AI Platform(m/w/x)
Developing batch/streaming pipelines for Agentic AI platforms, integrating new Azure features like mirroring and Delta Live Tables at a developer of intelligent AI solutions. 2-5 years data engineering experience with strong SQL and Python skills required. Trust-based working hours, opportunity to test new tools.
Requirements
- 2–5 years of experience in data engineering
- Very good SQL and Python skills
- Knowledge of CI/CD and DevOps processes
- Knowledge of cloud security and governance
- Solution-oriented thinking
- Strong communication skills
- Willingness to learn new things
- Very good German skills
- Good English skills
Tasks
- Plan and develop robust batch and streaming pipelines
- Maintain Azure Data Factory, MS Fabric, and Databricks
- Integrate new Azure features like mirroring and Delta Live Tables
- Implement Unity Catalog for centralized governance
- Automate deployments and testing using CI/CD
- Utilize infrastructure as code with Bicep or Terraform
- Ensure data quality, lineage, and security
- Use Microsoft Purview and role-based access control
- Collaborate with data scientists and product owners
- Translate requirements into scalable data solutions
- Evaluate new services like Lakeflow or Microsoft Fabric
Work Experience
- 2 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Advanced
Tools & Technologies
- Azure Data Services
- Data Factory
- Databricks
- MS Fabric
- Delta Lake
- Event Hubs
- Kafka
Benefits
Flexible Working
- Trust-based working hours
- Hybrid working
- Remote working
Learning & Development
- Targeted further training
Modern Equipment
- Opportunity to test new tools
Informal Culture
- Inclusive environment
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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