Data Engineer (m/f/d)
Statista · Hamburg or Berlin
What this role requires
2 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Git, Docker, AWS, English (B2). Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
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Job description
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 Role
Work closely with analysts, stakeholders, and engineers to design, build, and improve modeled data workflows.
Read the full description (28 more sections)Show less
Build and maintain backend services, data pipelines, AI agents, and workflow orchestration systems.
Standardize and consolidate fragmented workflows and standalone tools into a centralized platform.
Support, maintain, and continuously improve production-grade internal tools and workflows.
Contribute to platform architecture, operational reliability, and the continuous automation and optimization of analytical workflows.
Collaborate with cross-functional teams to translate evolving business and analyst/researcher requirements into practical technical solutions.
Your Profile
Strong Python skills with experience in backend systems, data pipelines, workflow automation, or internal tooling
Hands-on experience developing AI-powered applications using LLMs, AI agents, and modern AI APIs.
Solid understanding of SQL, databases, and data modeling concepts
Experience with Git and writing clean, maintainable, and well-structured code
Familiarity with workflow orchestration and general data engineering concepts
Understanding of containerization and cloud environments, such as Docker or AWS, is a plus
Ability to thrive in a fast-evolving environment and adapt to changing technologies and business requirements.
Structured and thoughtful approach to problem-solving with attention to maintainability and scalability
Comfortable collaborating with analysts, engineers, and stakeholders in a cross-functional environment
Strong communication skills and fluent English
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 up to 30 calendar days a year
Hybrid work and flex-time
International team and social events
Subsidized urban mobility and access to fitness and wellness options
Free access to Langdock 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.
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