Data Engineer

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