Data Ops Engineer - Insights Automation (m/f/d)

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?

• 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 Statista's data and content automation strategy

• 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.

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.

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Nice-to-have skills

• AWS
• Docker
• Python
• SQL

• Hamburg, Hamburg, Germany

Work experience

• Backend
• Data Engineer
• Data Infrastructure

Languages

• English