We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

ABOUT US: 

As a Senior Software Engineer at Sportradar, you will work on the development of Sportradar's data analytics platform and data pipelines to collect, transform, warehouse, and analyze large volumes of sports data and data related to the use of Sportradar's products. You will help develop and support our big data infrastructure, working closely with data scientists and BI developers leveraging the platform for analytics and AI/ML applications. 

Our cloud-native platform uses a combination of managed cloud services and cloud-hosted open source frameworks to manage and query 100s of billions of rows of data and run analytics workloads such as machine learning inference and interactive dashboard applications in production effectively and efficiently.

THE CHALLENGE:

• Design, develop, and run scalable, reliable, and secure data warehousing architectures and data integration/processing pipelines.
• Data modeling and integration of data for machine learning, analytics and reporting use cases.
• Perform ad-hoc data analyses, support data scientists and analysts with their data requirements.
• Design, deployment and monitoring of infrastructure supporting distributed batch analytics jobs and real-time streaming analytics infrastructure.
• Support the development of state-of-the-art machine learning, data analytics and reporting solutions leveraging our data.
• Present technical architectures, ideas, and solutions to fellow engineers in a clear and understandable way, and contribute to the evolution of our technology stack.

ABOUT YOU: 

• Demonstrated technical expertise in the following areas: databases, data modeling, ETL processes.
• Experience with data warehousing and/or big data query engines such as Amazon Redshift, Snowflake, Amazon Athena, Presto.
• Minimum 4 years of hands-on programming experience in the Java ecosystem.
• Experience with production database administration.
• Advanced knowledge of SQL.
• Experience working with streaming data (e.g., Kafka, RabbitMQ).
• Bonus:  Experience with Apache NiFi, Flink, Airflow, or Dagster.
• Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable.
• Fluent in English (written and spoken).
• Autonomous, rigorous, creative, and a team player.

OUR OFFER: 

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US), including various social events and teambuilding. 
• Ability to shape your own workday and career via a clearly defined professional and personal development plan. 
• Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. 
• Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants. 
• Global Employee Assistance Programme. 
• Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). 
• Online training videos. 
• Flexible working hours. 

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location — your local point of contact can provide further details.

OUR  RECRUITMENT  PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• Technical Interview: Meet with the Hiring Manager to discuss your background and experience, as well as team fit. 
• Final Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. 
• Final Steps: Receive feedback and, if successful, an offer! 

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!