We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission is to democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +40 countries to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
We’re looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment. To achieve our mission, we are looking for recent graduates to join our Data Graduate Program.
What is this program about?
Fever’s Data Graduate Program is a unique six-month rotational program designed to give you hands-on experience in Data Engineering, Machine Learning, and Data Science. You’ll be working on real projects from day one, using cutting-edge technologies, and learning from experienced professionals in a fast-growing, global tech company.
By the end of the program, you’ll have gained skills and experiences that typically take years to build, setting you up for a successful career in the data field.
What’s in it for you?
- A paid six-month contract in Madrid, with the opportunity to transition into a full-time role.
- Rotation across key data teams (Data Engineering, Machine Learning, Data Science and Web Analytics).
- Mentorship and training from experts in the field.
- A fast-paced, high-impact learning environment where you’ll contribute from day one.
- English lessons.
- 40% discount on all Fever events.
- Cigna Health Insurance.
- Flexible remuneration with a 100% tax exemption through Cobee.
- Gympass Membership.
- If you reside outside of Madrid, we can offer relocation assistance to help make your move and adaptation to the city as smooth as possible.
How does the program work?
Location : Madrid, Spain (100% in-person)Rotation Structure : 6 months total, rotating across 3-4 teams depending on your skills and interests :Data Engineering : Learn how to build and manage scalable data pipelines. Work with tools like SQL, Python, and cloud-based databases.Machine Learning : Work on real-world ML models and recommendations. Learn how ML models are developed, trained, and deployed.Data Science : Analyze complex business problems and help drive data-driven decisions. Use A / B testing and predictive modeling to optimize Fever’s platform.Web Analytics & Data Collection : Improve how data is collected across the complex Fever ecosystem (multiple websites and mobile apps) to deliver the best quality inputs to all internal areas and stakeholders to make better decisions. You'll learn about best practices for tracking and analytics using technologies such as GA4 and Mixpanel.Contract Type : “Contrato de prácticas” (you must have completed all credits to apply).Who should apply?
We’re looking for motivated, ambitious recent graduates who :
Have a bachelor / master's / PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field.Are among the top 10% of their class and have a strong academic record.Are curious, eager to learn, and excited to work in a fast-growing company.Have strong analytical and problem-solving skills.Have all your credits completed.Speak and understand business-level English.How to apply?
Submit your application and select your preferred team.Talent interview to assess fit.Technical interview to evaluate skills.Final offer and onboarding.Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
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