Senior Data Engineer
Senior Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Come work for one of the fastest growing sports tech companies in the world. As a market innovator Sportradar is valued at over $5 billion and backed by prominent investors Ted Leonsis and Michael Jordan.
We are a founderled company with a fastpaced growthfocused spirit that invites employees to pave their own path and make a personal impact in driving the company forward. We want you to make the Sportradar team smarter faster and stronger.
Sportradar is a partner to the top leagues and federations around the world including the NBA MLB FIFA and UEFA. This fulltime position offers a tremendous opportunity to work with a company that is delivering ondemand sports data with supporting video to nearly 1500 pro international and college teams. Our systems are highly complex and contain petabytes of data and video requiring extremely talented engineers to maintain the scale and efficiency of its products.
As a member of the data engineering team you will contribute to building out our new realtime data pipeline for player tracking basketball data.
The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the wellbeing of our team and their loved ones.
Team Objectives & Responsibilities:
- Design Build and Implement generalized largescale sophisticated data pipelines for downstream analytics and data science for our products
- Lead collaboration with other engineering teams to adopt standard methodologies drive scalability and increase consistency across our systems
- Propose directions to improve operational processes and methodologies
Requirements
- 5 years of experience working in data engineering or related software field
- Proficient in Python Demonstrated strength in ETL development and warehousing Kubernetes or other container orchestration technologies
- Excellent problemsolving analytic and debugging skills
- A strong sense of ownership and selfleadership
- Excellent grasp of software development life cycle and/or agile development environment
Bonus Superpowers:
- Experience in building end to end ML engineering infrastructure including feature engineering model training model deployment and model inference
- Proficiency in Java Experience with Flink for stream processing
- Experience with NiFi for data processing and workflow automation
- Experience with Kafka for messaging and realtime data pipeline
- Experience working in a remote environment
- Love of Sports or Sports data
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 team and develop yourself within an inspiring and fastgrowing company.
- Vibrant and inclusive community including Women in Tech and Pride groups which welcome all participants.
- Flexible working hours.
OURRECRUITMENTPROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution as also discuss team fit.
- Finals Steps: Receive feedback and if successful an offer!
Additional Information :
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 :
Fulltime
Employment Type
Full-time
