About this role
## 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.