Sportradar is the world's leading sports technology company, sitting at the intersection of sports, media and betting. More than 1,700 sports federations, media outlets, betting operators and consumer platforms across 120 countries rely on its data and technology to grow their business.
Sportradar's Ads Analytics team is looking for a senior data engineer to take ownership of complex, multi-faceted data projects, processing terabytes of advertising data daily with sub-second query performance.
Sportradar fosters a collaborative, global working culture with competitive benefits, and welcomes applicants who meet most - not necessarily all - of the listed requirements.
Responsibilities
Build and maintain robust ETL pipelines using Spark and AWS services to handle massive daily data volumes
Design scalable data processing systems and backend APIs and microservices in Python or Go
Architect data flows supporting both batch and real-time analytics requirements
Implement robust monitoring and alerting systems to detect data quality issues
Requirements
Senior-level data engineering experience with Spark, Python or Go, and AWS
Proven ability to scale data pipelines to handle massive daily volumes
Experience building both batch and real-time analytics systems
Strong ownership mindset for complex, multi-faceted projects