ABOUT THE TEAM

The Ads Analytics team is the backbone of our advertising intelligence platform, processing terabytes of data daily from programmatic, social, and search advertising channels. We build end-to-end solutions that transform raw advertising data into actionable business insights and leverage rich analytics data to create sophisticated sport audience segments.

THE CHALLENGE

We're scaling rapidly and need a senior data engineer who can take ownership of complex, multi-faceted data projects. You'll be tackling challenges like:

• 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

About You

• 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
   

OUR OFFER

• A 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. 

• 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 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.

HYBRID WORKING MODEL

• While we value the opportunities to work from home, we truly believe that being together, and sharing ideas, opportunities, trials and tribulations with teammates make us stronger and more innovative – individually and as a company. We strengthen the fibers of our Company each and every day, just by being together. For this reason, we operate a hybrid model where we are in the office 3 days a week. 
   

OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 

• Technical: Theoretical Interview: 60 minutes to discuss your technical skills on the theoretical level with the technical team.

• Technical: Coding Interview: 60 minutes of live coding where we do not access the end result but rather the candidate's approach (clean code and thinking process).

• System Design Interview: 60 minutes to solve a high-level problem with certain requirements.

• Final Steps: Receive final feedback while onsite visit might be requested and, if successful, an offer!