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

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 Statista’s 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 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.