Senior Software Engineer - Data (Python, AWS)

• Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
• Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights
• Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems
• Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
• End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions

• 5+ years of data engineering experience with 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
• AWS & Data Engineering: 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
• Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics
• Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems
• Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements
• Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows
• Dashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders
• GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants

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

• Collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and 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
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
• Company culture that promotes social aspects, sports, physical exercise and fun
• Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions
• Competitive salary and benefits (e.g. retirement pension and insurance plan)
• Sportradar takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you