Senior Software Engineer, Data

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

Were scaling rapidly and need a senior data engineer who can take ownership of complex multi-faceted data projects. Youll 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 andcross-teamchallenges likeShipIt office sports tournaments in Darts and Table Tennis and unique beer brewing competitions.  

• Competitive salary and benefits(e.g. retirement pensionandinsuranceplan)  

• 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 candidates 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! 

Additional Information :

The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.

At Sportradar we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs facilities and employment opportunities. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) we believe skills evolve over time. If youre willing to learn and grow with us we invite you to join our team!

Remote Work :

No

Employment Type :

Full-time