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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.
Job Responsibility:
Design, build, and maintain data models
Collaborate with the data engineering team to define and certify business-critical metrics
Work with business squads to understand their needs and turn them into reusable data assets
Ensure data quality and consistency
Support self-service analytics
Contribute to Airflow pipelines in Python
Contribute to our data mesh vision
Requirements:
Fluent in Spanish and English
A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field
A collaborative mindset
Strong communication skills
A keen interest in understanding a complex business landscape
Strong experience with SQL and data modeling
Hands-on experience with DBT
Hands-on experience with Python and orchestration frameworks
Familiarity with modern cloud data warehouses
Experience with BI tools
Understanding of data quality, governance, and observability practices
Nice to have:
Experience in a federated or data mesh environment
Familiarity with data catalog tools
Exposure to analytics in domains like marketing, CRM, or B2B reporting
What we offer:
Attractive compensation package
Stock options
Responsibility from day one and professional and personal growth
Opportunity to have a real impact
40% discount on all Fever events and experiences
Home office friendly
Health insurance
Flexible remuneration
English Lessons
Gympass Membership
Possibility to receive in advance part of your salary by Payflow