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


Start Date

Immediate

Expiry Date

21 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Nlp, Automation, Docker, Containerization, Data Processing, Sql, Python, Code

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

  • Experience in Data Engineering, DataOps, or a related Backend Engineering role.
  • Strong proficiency in Python and SQL, with experience using them for data processing, automation, and system integration.
  • Experience with API development and frameworks like FastAPI.
  • Hands-on experience with a cloud platform (ideally AWS).
  • Solid understanding of containerization (Docker), CI/CD pipelines, and Infrastructure-as-Code (IaC) principles.
  • Familiarity with NLP and/or AI/ML libraries and frameworks like LangChain or direct experience building Retrieval-Augmented Generation (RAG) systems is a plus
  • A keen interest in the rapidly evolving world of LLMs, prompt engineering, model output evaluation, or autonomous agent systems.
Responsibilities

Please refer the Job description for details

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