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Data Ops Engineer - Insights Automation(m/w/x)
Automating insights delivery via scalable data pipelines and APIs at a global business data platform. Strong Python and SQL proficiency, with hands-on cloud platform experience required. Work from abroad option, flex-time.
Anforderungen
- Experience in Data Engineering, DataOps, or related Backend Engineering role
- Strong proficiency in Python and SQL
- Experience with API development and frameworks like FastAPI
- Hands-on experience with a cloud platform, ideally AWS
- Solid understanding of containerization, CI/CD pipelines, and Infrastructure-as-Code principles
- Familiarity with NLP and/or AI/ML libraries and frameworks like LangChain
- Keen interest in LLMs, prompt engineering, model output evaluation, or autonomous agent systems
Aufgaben
- Create and manage scalable data pipelines
- Develop automated systems for insights delivery
- Support smart rule-based retrieval and dynamic content generation
- Ensure efficient data storage and indexing
- Make data accessible via APIs and partner ecosystems
- Facilitate next-gen AI workflows
- Identify bottlenecks and improvement opportunities
- Advance data and content automation strategy
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- FastAPI
- AWS
- Docker
- LangChain
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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Data Ops Engineer - Insights Automation(m/w/x)
Automating insights delivery via scalable data pipelines and APIs at a global business data platform. Strong Python and SQL proficiency, with hands-on cloud platform experience required. Work from abroad option, flex-time.
Anforderungen
- Experience in Data Engineering, DataOps, or related Backend Engineering role
- Strong proficiency in Python and SQL
- Experience with API development and frameworks like FastAPI
- Hands-on experience with a cloud platform, ideally AWS
- Solid understanding of containerization, CI/CD pipelines, and Infrastructure-as-Code principles
- Familiarity with NLP and/or AI/ML libraries and frameworks like LangChain
- Keen interest in LLMs, prompt engineering, model output evaluation, or autonomous agent systems
Aufgaben
- Create and manage scalable data pipelines
- Develop automated systems for insights delivery
- Support smart rule-based retrieval and dynamic content generation
- Ensure efficient data storage and indexing
- Make data accessible via APIs and partner ecosystems
- Facilitate next-gen AI workflows
- Identify bottlenecks and improvement opportunities
- Advance data and content automation strategy
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- FastAPI
- AWS
- Docker
- LangChain
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.
Noch nicht perfekt?
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