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Fever Logo Fever · IT - Software Development

BI Engineer

Spain, Madrid Employment contract · Job Posted December 26, 2025
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Job Description

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 (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.

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: 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.

What we offer

  • 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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