Redbull

Red Bull stands for individuality, authenticity and creativity. This is also what we expect from our employees. We foster an environment where you can find meaning, take responsibility, and master your strengths.

About the role

Since the early days of Red Bull, an entrepreneurial mindset has guided our approach to work and the environment we create. As a Data Engineer, you will contribute to our mission by building and maintaining the infrastructure that powers data-driven decision-making across the organization.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Optimize data storage and retrieval for performance and cost efficiency.
• Ensure data quality, integrity, and security across all systems.
• Develop and maintain data models and schemas to support analytics and reporting.
• Automate data workflows and monitor pipeline performance.
• Stay updated with emerging technologies and best practices in data engineering.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery).
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with workflow orchestration tools (e.g., Airflow, Luigi).
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Skills

• Data pipeline development and optimization.
• Data modeling and schema design.
• ETL/ELT processes and automation.
• Cloud computing and distributed systems.
• Scripting and programming for data processing.
• Data quality and governance.