Senior Data Engineer

The Ads Analytics team operates 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 creates sophisticated sport audience segments. The role is a senior data engineering position focused on taking ownership of complex, multi-faceted data projects as the organisation scales rapidly.

• Process and analyse terabytes of advertising data with sub-second query performance.
• Build and maintain robust ETL pipelines using Spark and AWS services to handle massive daily data volumes.
• Design and build scalable data processing systems and architect data flows that support batch and real-time analytics.
• Develop backend APIs and microservices in Python or Go.
• Manage user-facing dashboards that visualise complex data insights.
• Implement monitoring and alerting systems to detect data quality issues, manage AWS infrastructure using Terraform, and implement CI/CD best practices.
• Maintain high coding standards across data processing systems.
• Lead large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements.
• Mentor team members and present technical concepts to stakeholders while constructively challenging requirements.
• Take complete ownership of complex data engineering projects, ensuring high availability and accuracy for internal stakeholders and external clients, 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 from conception to delivery.
• Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders.
• Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing.
• Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics.
• Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems.
• Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements.
• Experience designing scalable data architectures, data modelling, and optimising data processing workflows.
• Experience creating and managing analytics dashboards in BI tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualisation solutions to present complex insights to stakeholders.

• Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants.

• Fully office-based role, with flexible working hours offered.
• In-person collaboration, knowledge sharing, fast decision-making, and team connection are valued.
• Working together onsite is seen as a key driver of innovation, learning, and success.
• Certain exemptions may apply depending on location.

• Collaborative environment with colleagues from all over the world, with engineering offices in Europe, Asia, and the US.
• Ability to shape your own workday and career via a clearly defined professional and personal development plan.
• Opportunity to work with senior leadership, develop yourself, and build your career within an inspiring and fast-growing company and digital sports environment.
• A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
• A company culture that promotes social aspects, sports, physical exercise, and fun.
• Innovative and cross-team challenges such as ShipIt, office sports tournaments in darts and table tennis, and unique beer brewing competitions.
• Retirement pension and insurance plan.
• Sportradar takes over the full costs of € 365 for the Öffi-Ticket (Jahreskarte).

We're the world's leading sports technology company, at the intersection between sports, media, and betting.