Data Graduate Program

Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.

Our mission? 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 +55 countries (and counting) 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. 

Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? 

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!

Ready to be part of the experience? 

Now, let’s discuss this role and what you will do to help achieve Fever’s mission.

Dive Into the World of Data — Fever’s Data Graduate Program Awaits

Are you a recent graduate ready to jump into the world of data?
Fever’s Data Graduate Program is a six-month, full-time rotational experience designed to launch your career in Data Engineering, Machine Learning, Data Science, and Web Analytics.

From day one, you’ll work on real projects, use cutting-edge technologies, and learn directly from experts who are shaping how millions of people discover entertainment worldwide. What usually takes years to learn, you’ll get in just six months — through hands-on work, mentorship, and exposure to multiple data disciplines.

What’s in it for you?

• A paid six-month contract in Madrid with the chance to transition into a full-time role


• Rotations across key data teams: Data Engineering, Machine Learning, Data Science, Data Marketing Engineering & Web Analytics


• Mentorship and training from experts in the field.


• Real impact from day one — contribute to projects used across the company


• English lessons.


• 40% discount on all Fever events.


• Cigna health Insurance.


• Flexible compensation with a 100% tax exemption through Cobee.


• Wellhub 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)

 Duration: 6 months

Rotation: You’ll rotate across 3–4 data teams depending on your skills and interests 

• 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.
  
  
  
  

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.


• Rank in the top 10% of their class


• Have strong analytical and problem-solving skills.


• Have all your credits completed.


• Speak and understand business-level English.

How to apply?

1. Submit your application and select your preferred team.


2. Talent interview to assess fit.


3. Technical interview to evaluate skills.


4. Final offer and onboarding.