Data Ops Engineer - AI & Automation

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 Job

• Build tools and services based on foundation models to enhance the efficiency of Statista’s researchers and analysts in data research and modelling.

• Develop autonomous AI agent networks that can take on the heavy-lifting for complex market forecasting – both quantitative and qualitative.

• Design and deploy cloud infrastructure for hosting tools, AI Agents and API services.

• Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation.

• Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.

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

**Your Team
** The Product Division is responsible for our platform products – from statistics and reports to consumer and industry insights – we create exclusive digital content from the world's most significant sources, our own primary data, and in-house AI-powered data tools. Over 400 experts, including researchers, analysts, product managers and data engineers, all work together to provide our customers with one integrated product experience – empowering people with reliable data to make fact-based decisions: https://www.statista.com/

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

• Hybrid work and flex-time

• International team and social events

• Career & training opportunities

• Attractive locations and modern offices

• Mental health support by Fürstenberg Institute

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.