Engineering Manager - Data & Content Delivery (m/f/d)

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?

As an Engineering Manager with a hands-on mindset, you will lead a cross-functional team of data and software engineers responsible for Statista's Data and Content Delivery domain - a key enabler of the existing Statista web platform and the growing Data-as-a-Service business. In close collaboration with a Product Manager, you'll be responsible for the single source of truth of Statista's data treasure and implement use cases of other engineering teams and data engineers. Together, you’ll shape the roadmap, empower the team, and deliver high-quality, scalable, and cost-efficient solutions.

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• 3+ years of experience leading cross-functional, product-oriented engineering teams

• Solid grasp of backend development, ideally with Java or Python, and both relational and NoSQL databases

• Solid understanding of data warehouse technologies and ETL pipelines — including experience migrating away from legacy, bespoke pipelines toward governed, self-serve data delivery platforms

• Strong understanding of distributed system design, particularly microservice architectures — with hands-on experience building event-driven, fan-out distribution systems (Kafka, Redpanda, Confluent)

• Familiarity with Data Governance Tools, Processes and Practices incl. data catalogues, Schema versioning, data contracts, and schema registry patterns

• 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 and infrastructure on AWS