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 collaboratively with our data sourcing and architecture teams to build a state-of-the-art data publishing infrastructure for existing and future products
Build and maintain data pipelines that scale Statista’s content management and production
Develop reliable data orchestration workflow to ensure and support the automated publishing processes of Statista’s content teams
Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation
Monitor and optimize data infrastructure to ensure high availability, performance, and security
Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.

Your Profile

You are comfortable in developing ETL processes and data automation processes using Python
Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
You have a good command of SQL for data manipulation and querying
You have a good understanding of data modelling and architecture, with a strong interest in best practices.
You have some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
You have 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.

Data Engineer - Data Publishing (m/f/d)

Summary