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.
At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.
As a Senior Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.
This role can be based in Barcelona or Madrid.
What You’ll Do- Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
- Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
- Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
- Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
- Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
- Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
- Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
- Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.
- Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
- A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
- A collaborative mindset: comfortable working with both engineers and business stakeholders.
- Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
- A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
- Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
- Hands-on experience with DBT (or similar transformation frameworks).
- Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
- Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
- Experience with BI tools (Metabase, Superset, Tableau, etc.).
- Understanding of data quality, governance, and observability practices.
- Experience in a federated or data mesh environment.
- Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
- Exposure to analytics in domains like marketing, CRM, or B2B reporting.
- Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.
- Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
- Stock options
- Responsibility from day one and professional and personal growth
- Opportunity to have a real impact in a high-growth global category leader
- 40% discount on all Fever events and experiences
- Home office friendly
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English Lessons
- Gympass Membership
- Possibility to receive in advance part of your salary by Payflow
The interview process will be conducted in Spanish; however, some interviews will require English.
- Talent Interview
- Technical Interview (90')
- 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
Skills Required
- Fluent in Spanish and English
- Bachelor's, Master's, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field
- Strong experience with SQL and data modeling, including star or snowflake schemas, data vault, or similar
- Hands-on experience with dbt or similar transformation frameworks
- Hands-on experience with Python and orchestration frameworks such as Airflow, Dagster, or Prefect
- Familiarity with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Experience with BI tools such as Metabase, Superset, or Tableau
- Understanding of data quality, governance, and observability practices
- Ability to collaborate with engineers and business stakeholders
- Experience in a federated or data mesh environment
- Familiarity with data catalog tools such as DataHub, Collibra, or Amundsen
- Analytics experience in marketing, CRM, or B2B reporting
- Experience or strong interest in Agentic AI and coding assistants such as Claude Code or Copilot
Fever Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fever and has not been reviewed or approved by Fever.
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Wellbeing & Lifestyle Benefits — Wellhub fitness access and generous discounts on company-run experiences are consistently highlighted as standout perks. These lifestyle benefits add distinctive value for those who prioritize cultural outings and wellness.
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Flexible Benefits — U.S. postings point to tax-advantaged accounts (HSA/FSA/DCFSA) and commuter benefits, while some markets offer extras like flexible-comp platforms and language classes. Although specifics differ by country and role, the offering extends beyond core basics.
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Parental & Family Support — Job ads outline a structured parental-leave program for both birthing and non-birthing parents with defined paid components. Clear leave design complements broader time-off policies and supports family needs.
Fever Insights
What We Do
Fever is the leading global tech-enabled entertainment discovery platform with a clear mission: to inspire through live entertainment. Our mobile-first marketplace allows both discovery/inspiration and seamless 2-click booking. Fever has also created a media network where our online communities can look for inspiration and local information (Secret Media Network owner of media outlets like Secret NYC, Secret London or Madrid Secreto among others). Fever and its Secret Media Network inspires over 60 million people every month to discover the best experiences in their cities. The preferences expressed by these communities allow us to create new experiences, which we call “Fever Originals”. These are proprietary experiences in which we follow a data-driven content creation strategy, using analytics to understand audiences, develop and optimize new formats. Some successful examples include the “Candlelight Concert Series” attended by over 3 million guests, the Los Angeles based “Stranger Things: The Drive-Into Experience” co-produced with Netflix, or the “Mad Hatter G&T Party”, all launched in multiple cities across the world. Fever is a US company with a team of over 800 people, currently present in more than 80 cities, with offices in many exciting cities such as New York, Los Angeles, Chicago, London, Paris, Madrid, Barcelona, or Sydney, and is backed by leading institutional investors, including Rakuten Capital, Accel, and Atresmedia among others. In order to pursue this objective we are looking for bar-raisers, people that want to work hard, have fun, and make history with us. Available for iOS and Android.
