Job
In this role, you take ownership of complex data projects, develop scalable ETL pipelines with Spark and AWS, optimize data architectures, and implement monitoring systems for quality assurance.
Job technologies
Your role in the team
- 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.
Our expectations of you
Qualifications
- Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements.
Experience
- 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.
- 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.
What we 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 EUR 365.- for the Öffi-Ticket (Jahreskarte) for you.
Benefits
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
Leonding, Wien, Gera, Bremen
At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.
- 250+ Employees
- 2001
- German, English
- Established Company
- Full Remote, Hybrid, Onsite
- Advertising, Marketing, PR · Sports, Leisure · Media, Publishing · Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.6
- Career growth
- 3.9
- Working conditions
- 4.3
- Team culture
- 4.3
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