Data Ops Engineer - AI & Automation (m/f/d) at Statista
Deutschland, , Germany -
Full Time


Start Date

Immediate

Expiry Date

15 May, 25

Salary

0.0

Posted On

15 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Ec2, Git, Code, Cloud Services, Ecs, Python, Automation, Docker, Version Control Tools, Infrastructure, Containerization

Industry

Information Technology/IT

Description

At Statista, we’re all about facts and data, for we are the world’s leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?

YOUR SKILLS

  • You are comfortable in developing automation and AI tools in Python using for example libraries such as Fast API / Flask, G-Eval, Langchain, Sentence Transformers or Streamlit / Gradio
  • You have a good understanding and a great interest in the principles and basics of AI applications (RAG-context, prompt engineering, pros and cons of different foundation models, output evaluation)
  • Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
  • You have at least some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & EKS); Infrastructure-as-Code is a plus
  • You have excellent spoken and written English skills
Responsibilities

Please refer the Job description for details

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