Senior Data Engineer


Company 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.

Job Description

As a Data 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.


•    Design, develop and run scalable, reliable and secure data warehousing architectures and data integration/processing pipelines.
•    Design, deployment and monitoring of infrastructure supporting distributed batch analytics jobs and real-time streaming analytics infrastructure.
•    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.
•    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, contribute to the evolution of our technology stack.
•    Co-create and deliver an ambitious business intelligence & AI roadmap in close coordination with business and technical stakeholders in the Sportradar group.

•    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, Azure SQL Data Warehouse, MongoDB, Cassandra, Hadoop, Spark, Amazon Athena, Presto.
•    Minimum 4 years of hands-on programming experience in 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 or Spark Streaming.
•    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

•    Competitive salary and benefits.
•    Work in an international team collaborating with colleagues from all over the world.
•    Opportunity to work and develop in a dynamic Tech environment within an inspiring and fast-growing company.
•    A challenging but rewarding and fun environment.


Java, databases, data modeling, ETL processes

Additional Information

Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences 

Apply now
To help us track our recruitment effort, please indicate in your email/cover letter where ( you saw this job posting.

Job Location