Senior Data Engineer
The Ads Analytics team at Sportradar serves as the backbone of the advertising intelligence platform, processing terabytes of data daily from programmatic, social, and search advertising channels. The team builds end-to-end solutions that transform raw advertising data into actionable business insights and leverages rich analytics data to create sophisticated sport audience segments.
Sportradar is looking for a Senior Data Engineer to take ownership of complex, multi-faceted data projects. The role involves scaling data systems, ensuring high performance, and bridging technical implementation with business requirements while mentoring team members.
- Processing and analysing terabytes of advertising data with sub-second query performance.
- Building and maintaining robust ETL pipelines using Spark and AWS services.
- Designing and building scalable data processing systems.
- Developing backend APIs and microservices using Python or Go.
- Architecting data flows that support both batch and real-time analytics requirements.
- Managing user-facing dashboards that visualise complex data insights.
- Implementing robust monitoring and alerting systems to detect data quality issues.
- Managing AWS infrastructure using Terraform and implementing CI/CD best practices.
- Maintaining high coding standards across data processing systems.
- Leading large-scale data projects from requirements gathering through delivery.
- Bridging technical implementation with business requirements and mentoring team members.
- Presenting technical concepts to stakeholders while challenging requirements constructively.
- Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy.
- Championing clean code principles and serving as a knowledge leader.
- 5+ years of data engineering experience with a proven track record of leading complex data projects (required).
- Exceptional communication skills and experience working in cross-functional teams (required).
- Very strong hands-on experience with AWS services such as S3, Lambda, Glue, Athena, Redshift, and EMR (required).
- Proficiency with Apache Spark for large-scale data processing (required).
- Strong experience with Python for building data processing services and APIs (required).
- Expert-level SQL skills for data processing and analytics (required).
- Hands-on experience with Docker, Terraform, and CI/CD pipelines (required).
- Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing (required).
- Experience designing scalable data architectures, data modelling, and optimising data processing workflows (required).
- Experience creating and managing analytics dashboards in BI tools like Tableau, Qlik Sense, Quicksuite, or Power BI (required).
- Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants (nice-to-have).
- Collaborative international work environment.
- Clearly defined professional and personal development plan.
- Opportunity to work with senior leadership within a fast-growing company.
- Access to inclusive community groups such as Women in Tech and Pride groups.
- Company culture that promotes social activities, sports, and physical exercise.
- Innovative cross-team challenges and office tournaments.
- Competitive salary and benefits including retirement pension and insurance plans.
- Full coverage of the annual public transport ticket (Öffi-Ticket) in Vienna.
Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.
