Senior Analytics Engineer (Data Modeling & BI)

Role Overview

Fever is building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. The Senior Analytics Engineer will be the bridge between data engineering and business analytics, ensuring that stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.

What You Will 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.

Why It Might Be a Fit

The ideal candidate will have a collaborative mindset, strong communication skills, and a keen interest in understanding a complex business landscape. They will also have experience with SQL and data modeling, DBT, Python, and orchestration frameworks.

Requirements

• 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
• Hands-on experience with DBT
• 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

Benefits

• 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