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Automation Engineer - AI Insights(m/w/x)
Building and optimizing intelligent data pipelines for dynamic content generation and rule-based retrieval at a global business data platform. Advanced Python/SQL skills and hands-on AWS experience required. Work from abroad option.
Anforderungen
- Experience in DataOps, Data Engineering, or backend development
- Advanced skills in Python and SQL
- Familiarity with FastAPI or similar frameworks
- Hands-on experience with AWS or other cloud platforms
- Strong understanding of Docker, CI/CD pipelines, and Infrastructure-as-Code
- Experience with AI/ML libraries or frameworks and curiosity about LLMs
- Eagerness to stay ahead of trends in prompt engineering and intelligent data retrieval
Aufgaben
- Design intelligent data pipelines
- Build and optimize scalable, high-performance pipelines
- Connect databases, schemas, and advanced retrieval logic
- Develop automation systems for rule-based retrieval
- Enable dynamic content generation for real-time insights
- Ensure efficient storage and indexing of data and content
- Provide robust APIs and partner integrations
- Power next-gen AI features like Retrieval-Augmented Generation
- Analyze and address bottlenecks in data automation
- Seek opportunities to improve content workflows
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- FastAPI
- AWS
- Docker
Benefits
Flexibles Arbeiten
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad
Sonstige Vorteile
- International team
Team Events & Ausflüge
- Social events
Moderne Technikausstattung
- Free access to Perplexity Enterprise
Karriere- und Weiterentwicklung
- Career opportunities
Weiterbildungsangebote
- Training opportunities
Modernes Büro
- Attractive locations
- Modern offices
Mentale Gesundheitsförderung
- Mental health support
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Automation Engineer - AI Insights(m/w/x)
Building and optimizing intelligent data pipelines for dynamic content generation and rule-based retrieval at a global business data platform. Advanced Python/SQL skills and hands-on AWS experience required. Work from abroad option.
Anforderungen
- Experience in DataOps, Data Engineering, or backend development
- Advanced skills in Python and SQL
- Familiarity with FastAPI or similar frameworks
- Hands-on experience with AWS or other cloud platforms
- Strong understanding of Docker, CI/CD pipelines, and Infrastructure-as-Code
- Experience with AI/ML libraries or frameworks and curiosity about LLMs
- Eagerness to stay ahead of trends in prompt engineering and intelligent data retrieval
Aufgaben
- Design intelligent data pipelines
- Build and optimize scalable, high-performance pipelines
- Connect databases, schemas, and advanced retrieval logic
- Develop automation systems for rule-based retrieval
- Enable dynamic content generation for real-time insights
- Ensure efficient storage and indexing of data and content
- Provide robust APIs and partner integrations
- Power next-gen AI features like Retrieval-Augmented Generation
- Analyze and address bottlenecks in data automation
- Seek opportunities to improve content workflows
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- FastAPI
- AWS
- Docker
Benefits
Flexibles Arbeiten
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad
Sonstige Vorteile
- International team
Team Events & Ausflüge
- Social events
Moderne Technikausstattung
- Free access to Perplexity Enterprise
Karriere- und Weiterentwicklung
- Career opportunities
Weiterbildungsangebote
- Training opportunities
Modernes Büro
- Attractive locations
- Modern offices
Mentale Gesundheitsförderung
- Mental health support
Über das Unternehmen
Statista
Branche
IT
Beschreibung
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
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