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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 - 5 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – fortgeschritten
Tools & Technologien
- Azure Data Services
- Data Factory
- Databricks
- MS Fabric
- Delta Lake
- Event Hubs
- Kafka
Benefits
Flexibles Arbeiten
- Trust-based working hours
- Hybrid working
- Remote working
Weiterbildungsangebote
- Targeted further training
Moderne Technikausstattung
- Opportunity to test new tools
Lockere Unternehmenskultur
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 - 5 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – fortgeschritten
Tools & Technologien
- Azure Data Services
- Data Factory
- Databricks
- MS Fabric
- Delta Lake
- Event Hubs
- Kafka
Benefits
Flexibles Arbeiten
- Trust-based working hours
- Hybrid working
- Remote working
Weiterbildungsangebote
- Targeted further training
Moderne Technikausstattung
- Opportunity to test new tools
Lockere Unternehmenskultur
- Inclusive environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
paiqo GmbH
Branche
IT
Beschreibung
The company develops intelligent solutions integrating AI models and agents into data platforms.
Noch nicht perfekt?
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