Statista
Data Ops Engineer - Insights Automation(m/w/x)
Full-timeWith HomeofficeExperienced
Hamburg, Berlin
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STStatista
Automation Engineer - AI Insights(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- FastAPI
- AWS
- Docker
Benefits
Flexible Working
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad
Other Benefits
- International team
Team Events
- Social events
Modern Equipment
- Free access to Perplexity Enterprise
Career Advancement
- Career opportunities
Learning & Development
- Training opportunities
Modern Office
- Attractive locations
- Modern offices
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Statista and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Data Engineer - Healthcare(m/w/x)
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STStatista
Automation Engineer - AI Insights(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- FastAPI
- AWS
- Docker
Benefits
Flexible Working
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad
Other Benefits
- International team
Team Events
- Social events
Modern Equipment
- Free access to Perplexity Enterprise
Career Advancement
- Career opportunities
Learning & Development
- Training opportunities
Modern Office
- Attractive locations
- Modern offices
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Statista and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Statista
Industry
IT
Description
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
Not a perfect match?
- Statista
Data Ops Engineer - Insights Automation(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin - Statista
Data Engineering Lead - Data & AI Tools(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin - Statista
Data Engineer - Healthcare(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin - Statista
Team Lead Data & AI Engineering(m/w/x)
Full-timeWith HomeofficeManagementHamburg, Berlin - Statista
DevOps Engineer - Event Infrastructure(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin