Senior Software Engineer - Data (Python, AWS)
Sportradar2 months ago
Vienna, AustriaSenior
Responsibilities
- Design and build scalable data processing systems and robust ETL pipelines for terabytes of advertising data.
- Develop backend APIs, microservices, and data processing services using Python or Go.
- Architect data flows supporting batch and real-time analytics requirements.
- Build and maintain AWS-based data systems using services including S3, Lambda, Glue, Athena, Redshift, and EMR.
- Implement monitoring, alerting, data-quality controls, infrastructure automation, and CI/CD practices using Terraform and Docker.
- Lead complex data engineering projects from requirements gathering through delivery and ensure system availability and data accuracy.
- Design data architectures, models, and optimized data-processing workflows.
- Create and manage analytics dashboards and data visualizations for complex business insights.
- Collaborate with analysts, product managers, business stakeholders, and technical teams; mentor team members and present technical concepts.
- Maintain clean, well-documented, tested code and serve as a knowledge leader for data solutions.
Requirements
- At least 5 years of data engineering experience leading complex projects from conception to delivery.
- Strong communication skills and experience working cross-functionally with analysts, product managers, and business stakeholders.
- Very strong hands-on experience with AWS services such as S3, Lambda, Glue, Athena, Redshift, and EMR.
- Proficiency with Apache Spark for large-scale data processing.
- Strong Python experience for data-processing services and APIs, plus expert-level SQL skills.
- Hands-on experience with Docker, Terraform, and automated CI/CD pipelines.
- Experience designing scalable data architectures, data models, and optimized data-processing workflows.
- Strong commitment to clean, maintainable, well-documented code, comprehensive testing, and analytics/reporting requirements.
- Experience creating and managing dashboards with Tableau, Qlik Sense, Quicksuite, or Power BI.
- Experience with contextual and prompt engineering using GitHub Copilot, Claude, or similar AI assistants is beneficial.
Benefits
- Collaborative international environment with engineering offices in Europe, Asia, and the US.
- Ability to shape the workday and career through a professional and personal development plan.
- Opportunities to work with senior leadership and develop a career in a fast-growing digital sports company.
- Inclusive employee community, including Women in Tech and Pride groups.
- Company-supported social, sports, physical exercise, and team activities.
- Competitive salary and benefits including a retirement pension and insurance plan.
- Sportradar covers the full cost of the €365 Öffi-Ticket (Jahreskarte).
- Recruitment process includes screening, theoretical technical interview, coding interview, system design interview, and potentially an onsite visit.