Description
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.
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.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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.