The AI Job Search Engine
Data Ops Engineer - Insights Automation(m/w/x)
Description
In this role, you will design and build intelligent data pipelines while driving automation to deliver insights at scale. Your focus will be on optimizing data accessibility and supporting innovative AI workflows to ensure efficient data management.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
approx. 1 - 4 years
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
Tools & Technologies
Languages
English – Business Fluent
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
- StatistaFull-timeWith HomeofficeExperiencedHamburg, Berlin
- Statista
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Data Ops Engineer - Insights Automation(m/w/x)
The AI Job Search Engine
Description
In this role, you will design and build intelligent data pipelines while driving automation to deliver insights at scale. Your focus will be on optimizing data accessibility and supporting innovative AI workflows to ensure efficient data management.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
approx. 1 - 4 years
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
Tools & Technologies
Languages
English – Business Fluent
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.
- Statista
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