Senior Data Engineer

Sportradar

Sportradar, a market pioneer valued at over $5 billion, partners with top sports organizations worldwide and operates at the crossroads of sports, media, and betting. Their team offers dynamic opportunities to impact the sports tech industry, driven by innovation and growth. The data engineering role focuses on maintaining massive data systems vital to delivering on-demand sports data solutions to professional and collegiate teams.

In this role you can expect to have the responsibilities:

• Design and implement large-scale data pipelines for advanced analytics and data science.
• Collaborate with engineering teams to enhance system scalability and consistency.
• Propose enhancements in operational processes and methodologies.

This role comes with the following benefits:

• Collaborative international work environment
• Opportunities for professional growth and career development
• Inclusive and supportive community
• Flexible working hours

This role requires you to have:

• 5+ years in data engineering or related software fields
• Proficiency in Python
• Expertise in ETL development and warehousing
• Familiarity with Kubernetes or similar technologies
• Strong problem-solving and debugging skills
• Excellent understanding of software development life cycle and agile environments

You would benefit from having:

• Experience with end-to-end ML engineering infrastructures
• Proficiency in Java and Flink for stream processing
• Familiarity with NiFi for data processing automation
• Knowledge of Kafka for real-time data pipelines
• Experience with remote work environments
• Interest in sports data

Sportradar emphasizes diversity, ensuring equal access to opportunities regardless of personal demographics. They encourage candidates who meet most qualifications to apply, promoting growth and learning within the team.