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Statista
3mo ago

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

Hamburg, Berlin
Full-timeWith Home OfficeExperienced
AI/ML

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.

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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

PythonSQLFastAPIAWSDockerLangChain

Languages

EnglishBusiness 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
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