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Data Graduate Program
Оценка ИИОтличная стартовая площадка для карьеры: оплачиваемая программа, ротации в разных направлениях (ML, DE, DS), медицинская страховка и помощь при релокации. Единственный минус — требование 100% присутствия в офисе в Мадриде.
Сложность вакансии
Оценка ИИПрограмма ориентирована на выпускников с выдающимися академическими успехами (топ-10% класса). Высокая сложность обусловлена интенсивным форматом ротаций и необходимостью быстро осваивать разные стеки технологий: от ML до веб-аналитики.
Анализ зарплаты
Оценка ИИДля позиции выпускника (Graduate) в Мадриде предлагаемая программа соответствует рыночным стандартам для стажировок и начальных позиций в технологических компаниях. Учитывая дополнительные льготы (страховка, Wellhub, релокация), общее вознаграждение является конкурентоспособным.
Сопроводительное письмо
I am writing to express my strong interest in the Data Graduate Program at Fever. As a recent graduate with a background in a quantitative field and a passion for the entertainment industry, I am particularly drawn to Fever’s data-driven approach to democratizing access to culture. The opportunity to rotate through Data Engineering, Machine Learning, and Data Science teams is exactly the kind of intensive, multi-disciplinary start I am looking for in my career.
During my studies, I consistently ranked in the top tier of my class, developing a rigorous analytical mindset and technical proficiency in SQL and Python. I am eager to apply these skills to real-world projects, such as optimizing user experiences through A/B testing or building scalable data pipelines. Fever’s reputation for innovation and its collaboration with global brands like Netflix make it the ideal environment for me to contribute and grow.
I am impressed by Fever's commitment to mentorship and its hands-on culture. I am confident that my proactive attitude and technical foundation will allow me to make a meaningful impact from day one. Thank you for considering my application; I look forward to the possibility of discussing how I can contribute to the Data team in Madrid.
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Описание вакансии
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 +40 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?
- Submit your application and select your preferred team.
- Talent interview to assess fit.
- Technical interview to evaluate skills.
- Final offer and onboarding.
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
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.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
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Навыки
- SQL
- Python
- Machine Learning
- Data Engineering
- Data Science
- A/B Testing
- Predictive Modeling
- Google Analytics 4
- Mixpanel
- Web Analytics
Возможные вопросы на собеседовании
Проверка базовых знаний, необходимых для ротации в Data Engineering.
Можете ли вы объяснить разницу между ETL и ELT процессами и в каких случаях предпочтительнее использовать каждый из них?
Оценка понимания продуктовых метрик, что важно для ротации в Data Science.
Как бы вы спроектировали A/B тест для новой функции рекомендаций в приложении Fever? Какие метрики были бы ключевыми?
Проверка навыков работы с данными и алгоритмического мышления.
Опишите ваш опыт работы с Python для анализа данных. Какую самую сложную задачу по очистке или трансформации данных вам приходилось решать?
Оценка интереса к сфере деятельности компании.
Как, по вашему мнению, машинное обучение может улучшить пользовательский опыт в сфере продажи билетов на мероприятия?
Проверка soft skills и умения работать в динамичной среде.
Расскажите о ситуации, когда вам нужно было быстро освоить новую технологию или инструмент для учебного или личного проекта. Как вы подошли к процессу обучения?
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