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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.
Requirements
- 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
Tasks
- 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
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
- LangChain
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
Not a perfect match?
- StatistaFull-timeWith HomeofficeExperiencedHamburg, Berlin
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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.
Requirements
- 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
Tasks
- 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
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
- LangChain
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
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?
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