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# Analytics Engineer (Data Modeling & BI)

- **Company:** We're Fever
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Analytics Applications, Data Analysis, BigQuery, Computer Engineering, Information Engineering, Data Vault Modeling, Data Warehousing, Python (Programming Language), Microsoft Copilot, SQL Databases, Tableau (Software), Claude Code, Snowflake, Agentic-AI, Kubernetes, Collibra, Star Schema, Amazon Redshift
- **Published:** November 7, 2026
- **Apply:** https://www.adzuna.es/details/5955453736

## About the Role

* 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.
 * Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.

## Description

As a Senior 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.

This role can be based in Barcelona or Madrid.
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.
 * Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.