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
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 an
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.
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.
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, 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.
Nice to Have
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
.
Benefits & Perks
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 Adaptable remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
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 (90')
Manager Interview

📌 Senior Analytics Engineer (Madrid)
🏢 FeverUp
📍 Madrid