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addressEndereçoThalgau, Austria
type Forma de trabalhoFull-time
CategoriaEngenharia

Descrição do trabalho

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.

Solicitar

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, Bonus:, Experience with dbt and/or workflow management tools like Airflow or Prefect, Experience with Infrastructure-as-Code tools like Terraform, Experience with streaming technologies, such as Spark Structured Streaming, Kafka Streams or Apache Flink, Familiarity with best practices for data architecture, data modelling, and/or data engineering
Refer code: 1604501. Red Bull - O dia anterior - 2024-04-17 00:24

Red Bull

Thalgau, Austria

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