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?

• You will contribute to Statista’s Data Production mission to build an automated, at scale production machine for high-value data empower the biggest corporates and AI-builders in the world
• As such, you will lead a Data Ops teams with ~4 Data Engineers plus students both disciplinarily and professionally, focusing on “Data Sourcing”
• Your team’s mission is to extract data from various sources at-scale, automated and using AI-tools, store the data in a data lake environment and process and structure it for further use or publication
• You will be part of our Data Ops leadership team and jointly decide on strategic topics such as: data value contribution, data production steering, AI & automation, tech stack (currently for this team: Python, BeaufitulSoup, Selenium, SQL (Postgres), Docker, AWS, Airflow)
• You’ll set the objectives for your team, manage all aspects of delivery, and will operationally contribute to high-priority projects in your area of responsibility
• You’ll coordinate internally with stakeholders who require automated sourcing processes, sourced data from your team, or ingestion of large amounts of data