Data Ops Engineer - Insights Automation (m/f/d)
Data Ops Engineer - Insights Automation (m/f/d)
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Job Description
At Statista were all about facts and data for we are the worlds 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 job
Design & Build Intelligent Pipelines & Retrieval Systems: Create and manage scalable data pipelines that connect databases schemas and advanced retrieval functions.
Drive Automation: Develop automated systems to deliver insights at scale through smart rule-based retrieval and dynamic content generation supporting structured unstructured and generated data.
Enable AI Systems: Ensure data and content are efficiently stored indexed and accessible via APIs partner ecosystems and next-gen AI workflows (e.g. RAG).
Innovate & Optimize: Identify bottlenecks and opportunities for improvement advancing Statistas data and content automation strategy
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.
What we offer
In addition to our great team culture and our shared goal of empowering people with data there are many other things that make Statista a great place to work! Join us and benefit from:
Work from abroad 10 days a year (up to 30 if your family lives abroad)
Hybrid work and flex-time
International team and social events
Free access to Perplexity Enterprise Pro and all its amazing functionalities
Career & training opportunities
Attractive locations and modern offices
Mental health support with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Employment Type
Full-Time
