
1001 - 5000 employees
👥 B2C
💰 $110M Venture Round on 2023-01
Entertainment • B2C • Tourism
Fever is a company that curates memorable experiences, focused on live entertainment and cultural events, in major cities across the world. Known for offering exclusive and unique experiences such as Candlelight Concerts and the Van Gogh Experience, Fever operates in over 200 major cities and supports users in 11 languages. Its app is highly rated in the live entertainment industry, providing users easy access to events and experiences. Fever also offers 24/7 support and a variety of ways to engage with and book events, making it a go-to platform for people looking to explore popular and cultural events globally.
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
Where this job comes from
Posted on Fever's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1001 - 5000 employees
👥 B2C
💰 $110M Venture Round on 2023-01
Entertainment • B2C • Tourism
Fever is a company that curates memorable experiences, focused on live entertainment and cultural events, in major cities across the world. Known for offering exclusive and unique experiences such as Candlelight Concerts and the Van Gogh Experience, Fever operates in over 200 major cities and supports users in 11 languages. Its app is highly rated in the live entertainment industry, providing users easy access to events and experiences. Fever also offers 24/7 support and a variety of ways to engage with and book events, making it a go-to platform for people looking to explore popular and cultural events globally.
• Design, build, and maintain data models using DBT and SQL to 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 • Work with B2B, Marketing, CRM, and Product business squads to turn needs into reusable data assets • Ensure data quality and consistency through testing frameworks, observability, and governance • Support self-service analytics using existing visualization and BI tools or custom developments • Contribute to Airflow pipelines in Python for automation and orchestration • Contribute to Fever’s data mesh vision by creating domain-owned datasets • Leverage Agentic AI, Claude Code, and other advanced AI tools to accelerate development and maximize 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
• 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
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🇪🇸 Spain – Remote
💰 $304.2M Private Equity Round - idealista on 2021-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Analytics Engineer
🗣️🇪🇸 Spanish Required