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Job Description
ABOUT US:
Reporting to the Head of Quants you will be working closely with your colleagues in Quants but also various product owners, developers and traders company wide. Our department is responsible for creating predictive models for both pre-match and in-play betting markets in various sports. Join our team and become a part of the global, fast-growing success.
THE CHALLENGE:
- Use ATDD/BDD techniques in your daily work.
- Use a modern release process (Gitlab CI).
- A real opportunity to influence the design and technology.
- Become a domain expert in the exciting world of real-time hi-tech sports data.
- Support the team in maintaining the codebase.
- Help to analyse, evaluate and optimize existing predictive models.
You are a developer who likes solving challenging problems and being focused at work. Learning is a natural part of your workday. You enjoy collaborating with a diverse group of people, you are passionate about what you do, have a high interest in keeping up with current best practices in your areas of expertise and you look at programming languages as tools and not constraints. You are curious about both technology and people. You acknowledge that the most complex problems are really people based. Besides of all of that you’re not afraid to go out of your comfort zone.
Required:
- Engineering skills where people see you as a role model.
- A test-first mindset where your values are aligned with engineering quality practices.
- Strong programming skills enabling you to deliver software with high performance, availability, and throughput.
- Experience with object-oriented programming languages (Java) and clean code/architecture principles.
- Strong communication skills, fluency in English.
- Creative thinking, keen to further refine systems and processes.
- A personal interest in keeping up with the general trends of software product development.
- A can-do attitude, take pride in own work and an ability to keep up momentum.
- Worked in Agile development teams.
- Experience with Maven & Gradle projects.
- Cloud based services from AWS.
- Distributed systems.
- Message queuing (RabbitMQ, Kafka).
- Docker, Kubernetes.
- Protobuf & GRPC.
- 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 team and develop yourself within an inspiring and fast-growing company.
- Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- Hybrid work model.
OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Technical Assessment: A short (home) task to showcase your technical skills.
- Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution, as also discuss team fit.
- Onsite Interview (If not organized on prior interview stages): Meet with the local team and take a tour of our office for a final meet-and-greet.
- Finals Steps: Receive feedback and, if successful, an offer!
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 you’re willing to learn and grow with us, we invite you to join our team!
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