Junior Data Engineer

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.

About the role

As a Junior Data Engineer, you'll be part of the team responsible for designing and delivering the data products that power Fever's partner ecosystem — from real-time APIs and dashboards to data exports and automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.

You'll work at the crossroads of engineering, product, and business, learning to translate complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.

What You'll Do

• Develop a deep understanding of Fever's backend systems and data models, learning the logic and transformations that connect business processes to data representations.

• Collaborate with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures.

• Develop and optimize ETL/ELT workflows using Python, DBT, Airflow, and Snowflake, with a focus on scalability, maintainability, and reliability.

• Contribute to the design, build, and maintenance of partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.

• Help ensure that all data delivered to partners is accurate, consistent, and aligned with the underlying business context.

• Contribute to the architecture, testing, and observability of our data ecosystem, promoting best practices and automation wherever possible.

• Grow your ownership progressively — from scoping and designing to implementing and shipping solutions in close collaboration with cross-functional teams.

• Support the evolution of Fever's data mesh, helping domain teams design data products that follow common engineering and governance standards.

What You Bring

• Fluent in Spanish and English; you'll communicate in Spanish with local teams and in English with global teams.

• A Bachelor's or Master's degree in Computer Engineering, Data Engineering, or a related field — strong academic foundations are key for this role.

• 2 years of professional or project-based experience in data engineering or a related field.

• Solid foundations in Python and SQL; exposure to or eagerness to learn tools like Airflow, DBT, and Snowflake (or similar technologies).

• A good understanding of data modeling fundamentals and how software systems generate and expose data.

• Academic or hands-on project experience building data pipelines or data products — internships, university projects, or personal work all count.

• Good communication and collaboration skills — you're able to work with both technical and non-technical people.

• Eagerness to take ownership, learn fast, and grow in a fast-paced environment.

• Familiarity with version control (Git) and an interest in software engineering best practices (CI/CD, testing, observability).

Nice to Have

• Exposure to real-time data platforms such as Tinybird or ClickHouse.

• Familiarity with domains like B2B, Marketing, or Partner Reporting.

• Exposure to streaming or near-real-time data (Kafka, Kinesis, etc.).

Why Join Us

This is a unique opportunity to join Fever's Data team at an early stage of your career. You'll be part of a team that values strong theoretical foundations and the drive to learn over years of experience — we'll invest in your growth. You'll work with a modern data stack, collaborate with talented engineers and product teams, and progressively take on more ownership as you grow.

You'll join a team that values clarity, autonomy, and impact — where engineering excellence and business understanding go hand in hand.

Benefits & Perks

• Flexible schedule

• Opportunity to have a real impact in a high-growth global category leader

• 40% discount on all Fever events and experiences

• Responsibility from day one and professional and personal growth

• Great work environment, international team of talented people to work with!

• Health insurance from Day 1.

• English or Spanish Lessons

• Gympass Membership

• Cobee (tax free allowance on restaurants and transport).

• Possibility to receive in advance part of your salary by Payflow.

Interview process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview

• Technical Interview I

• Manager Interview

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