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 SKILLS

• 3+ years of experience leading cross-functional, product-oriented engineering teams
• Solid grasp of full-stack development, ideally with Java, React, and both relational and NoSQL databases
• Strong understanding of distributed system design, particularly microservice architectures
• Excellent communication skills and a collaborative mindset — you build strong relationships with senior engineers, product peers, other engineering managers, and various stakeholders
• Familiarity with building applications on AWS
• Bonus: experience developing GUI-heavy internal tools or platforms

• Lead a team of backend, frontend, and QA engineers — creating a supportive environment where people can grow and do their best work
• Collaborate closely with Product to define and deliver on a clear vision and roadmap
• Support the team in architectural and technical decision-making, while not being expected to contribute code regularly
• Drive engineering excellence and accountability for the stability, performance, and maintainability of the tools you build and own
• Lead and deliver migration projects — Statista has a long history of building internal tools; you’ll work to consolidate what’s still valuable and phase out the obsolete
• Build strong relationships with internal stakeholders and partner with data engineers and architects to develop powerful internal content automation and toolin