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Sportradar's Ads Analytics team is the backbone of their 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.
As a Senior Software Engineer, Data, you will take ownership of complex, multi-faceted data projects across several key areas:
**Scale & Performance Engineering**: You'll process and analyze terabytes of advertising data with sub-second query performance. You'll build and maintain robust ETL pipelines using Spark and AWS services to handle massive data volumes daily.
**Data Pipeline Architecture & Development**: Design and build scalable data processing systems, develop backend APIs and microservices in Python or Go, architect data flows supporting both batch and real-time analytics, and manage user-facing dashboards visualizing complex data insights.
**Infrastructure & Data Quality Operations**: Implement robust monitoring and alerting systems to detect data quality issues, manage AWS infrastructure using Terraform, implement CI/CD best practices, and maintain high coding standards across data processing systems.
**Cross-Functional Leadership & Collaboration**: Lead large-scale data projects from requirements gathering through delivery, bridge technical implementation with business requirements, mentor team members, and present technical concepts to stakeholders while challenging requirements constructively.
**End-to-End Data System Ownership**: Take complete ownership of complex data engineering projects ensuring high availability and accuracy for internal stakeholders and external clients. Champion clean code principles and serve as a knowledge leader supporting delivery of the right data solutions.
Sportradar offers a collaborative environment with colleagues worldwide (engineering offices in Europe, Asia, and US), ability to shape your workday and career via a professional development plan, opportunity to work with senior leadership in a fast-growing digital sports company, vibrant inclusive community with Women in Tech and Pride groups, company culture promoting social aspects and physical exercise, innovative cross-team challenges, and competitive salary with benefits including retirement pension and insurance. The company covers the full cost of the Öffi-Ticket (annual public transport pass) in Vienna.
The role is fully office-based in Vienna, as the company strongly values in-person collaboration, knowledge sharing, fast decision-making, and team connection. Certain exemptions may apply depending on location.
**Requirements:**
- 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
- 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 modeling, and optimizing data processing workflows
- Experience creating and managing analytics dashboards in BI tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions
- Beneficial: Experience with GenAI tools including contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants
