Data Engineer

at  Red Bull

COMPANY DESCRIPTION

The Red Bull Athlete Performance Center serves as a dynamic accelerator for Red Bull athletes, propelling them towards unparalleled excellence in their respective sports. Leveraging advanced technology, cutting-edge analytics, and insights gleaned from a diverse array of sporting disciplines, we unlock the individual potential of each athlete.
As the APC undergoes rapid expansion, both in physical infrastructure and strategic sport disciplines such as soccer, ice hockey, and Formula 1, our commitment to enhancing data infrastructure, engineering, and analytics capabilities remains unwavering. This investment underpins our mission to provide unparalleled support and resources to athletes and teams striving for greatness.
In this fast-paced environment, the Data Engineer plays a pivotal role as the APC’s Data Engineering lead. They are responsible for supporting heavy data-users across various departments within the APC, ensuring a reliable data pipeline that fuels decision-making and innovation. Additionally, the Data Engineer collaborates closely with high-end sports data analysts and data scientists from the global data team, spanning APC, Red Bull Soccer, and Red Bull team sports/clubs. Together, we harness the power of data to drive performance, unlock insights, and propel our athletes towards victory on the world stage.

QUALIFICATIONS

Higher education in Computer Science, Information Systems, Mathematics, Physics, or related quantitative field or equivalent work experience
3 or more years of work experience as data engineer or software engineer with strong hands-on data skills
Practical experience working with ETL/ELT pipelines, cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and other cloud-native technologies, ideally in AWS or Azure
Minimum of 3 years’ experience in project management

GENERAL SKILLS/KNOWLEDGE:

Inter-personal contact
Diplomacy
Conceptual working
Organize, prioritize and coordinate multiple tasks
Flexibility
Analytical thinking
Problem solving
Hands-on mentality
Performance and result orientation
Positive attitude and a strong commitment to delivering high-quality work
Team player
Languages: fluent in German and English

IT RELATED SKILLS/KNOWLEDGE:

Very good skills in SQL, Python or another general-purpose language like R, C++ or Java
Very good skills working with APIs, databases, data modelling and data transformation (ideally with dbt)
Solid understanding of the professional software development process following the DevOps methodology including Git, Branching Workflows, CI/CD, Containers and automated testing
Architectural knowledge related to Cloud, databases and ETL/ELT
IT Project Management

Please refer the Job description for details