Automation Engineer

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

As an Automation Engineer focused on insights and retrieval, you will design powerful, intelligent data solutions to fuel Statista's next-generation analytics and AI products. Take ownership of scalable pipelines, advanced retrieval systems, and automated insight delivery—helping transform how data is connected, indexed, and leveraged across our products and partner platforms.

• Design Intelligent Data Pipelines: Build and optimize scalable, high-performance pipelines that seamlessly connect databases, schemas, and advanced retrieval logic for both structured and unstructured data.

• Automate Insights Delivery: Develop automation systems for rule-based retrieval and dynamic content generation, enabling real-time, large-scale insight delivery—from simple queries to AI-powered outputs.

• Empower AI Workflows: Ensure data and content are efficiently stored, indexed, and available via robust APIs and partner integrations—powering next-gen AI features like Retrieval-Augmented Generation (RAG).

• Innovate and Optimize: Analyze and address bottlenecks, always seeking opportunities to advance Statista's data automation strategy and improve content workflows for greater scalability and performance.

• Data Engineering Expertise: Experience in DataOps, Data Engineering, or backend development with a strong record of building scalable systems.

• Python & SQL Mastery: Advanced skills in Python and SQL for robust data processing, automation, and backend integration.

• API Development: Familiarity with FastAPI or similar frameworks, able to build efficient, user-friendly APIs for data access and automation.

• Cloud Platform Proficiency: Hands-on experience with AWS (or other cloud platforms), enabling scalable deployments and data solutions.

• Modern DevOps: Strong understanding of Docker, CI/CD pipelines, and Infrastructure-as-Code (IaC) for secure, reliable, and maintainable infrastructure.

• AI & NLP Skills: Experience with AI/ML libraries or frameworks (LangChain, RAG systems) and a genuine curiosity about LLMs, model evaluation, and autonomous AI agents.

• Continuous Innovation: Eager to stay ahead of fast-moving trends in prompt engineering and intelligent data retrieval, bringing new ideas and technologies into your daily work.

Join us to build the future of automated insights and AI-powered analytics—where your innovative data engineering will shape tomorrow's intelligent products.

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.