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 RoleCollaborate with data sourcing and architecture teams to build and enhance our data publishing infrastructure, contributing to the evolution of existing and future products
Build and maintain scalable data pipelines that support Statista's content management and production processes
Develop reliable data orchestration workflows to ensure consistent, automated publishing processes for our content teams
Analyze established processes across content and data teams to identify and propose opportunities for optimization and automation
Contribute to monitoring and optimization efforts of our data infrastructure to maintain high availability, performance, and security
Stay current with developments in AI & Automation to assess and recommend relevant upgrades to our services and tools
Mentor junior team members and contribute to architectural decisions that shape the evolution of our data infrastructure
3+ years of experience developing ETL processes and data automation workflows using Python
Working proficiency in workflow orchestration, containerization, and version control tools (e.g., Apache Airflow, Docker, git)
Strong SQL skills for data manipulation, querying, and optimization
Good understanding of data modeling and architecture principles, with an interest in learning and applying best practices
Hands-on experience with cloud services and infrastructure (e.g., AWS: ECS, EC2, RDS); familiarity with Infrastructure-as-Code concepts is a plus
Excellent spoken and written English skills
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.
Skills Required
- Develop ETL and data automation processes using Python
- Experience with workflow orchestration tools (e.g., Apache Airflow)
- Containerization experience (e.g., Docker)
- Version control experience (e.g., Git)
- Proficient in SQL for data manipulation and querying
- Understanding of data modelling and architecture best practices
- Some experience with cloud services and infrastructure (e.g., AWS: ECS, EC2, RDS)
- Experience with Infrastructure-as-Code
- Excellent spoken and written English skills
