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STStatista

Data Ops Engineer - Insights Automation(m/w/x)

Hamburg, Berlin
Full-timeWith Home OfficeExperienced
AI/ML

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

  • EnglishBusiness 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
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