Senior Analytics Engineer

FeverUp; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading global technology company in Madrid is seeking an experienced Analytics Engineer to ensure reliable and well-modeled datasets for decision-making. You will design data models, collaborate across business squads, and contribute to data governance. Ideal candidates are fluent in both Spanish and English, possess strong SQL and data modeling skills, and have hands-on experience with DBT and Python. Attractive benefits include stock options, health insurance, and a home-office-friendly policy.

Servicios

Attractive compensation package

Stock options

40% discount on events

Home office friendly

Health insurance

Gympass Membership

English Lessons

Formación

• Strong experience with SQL and data modeling (star/snowflake schemas).
• Hands-on experience with DBT and orchestration frameworks like Airflow.
• Experience with BI tools such as Metabase, Superset, Tableau.

Responsabilidades

• Design and maintain data models to transform raw data into clean datasets.
• Collaborate with teams to define and certify business-critical metrics.
• Ensure data quality and consistency by partnering with data engineering.

Conocimientos

SQL

Data Modeling

Python

DBT

Data Visualization

English proficiency

Spanish proficiency

Educación

Bachelor's, Master's, or PhD in Computer Engineering, Data Engineering, Data Science or related field

Herramientas

Airflow

Metabase

BigQuery

Tableau

Descripción del empleo

About the Role

At Fever we are building a federated data organization that combines centralization where its 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 youll be the bridge between data engineering and business analytics ensuring that our stakeholders can make decisions on reliable well-modeled and discoverable datasets.

What Youll 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.

What You Bring

• Fluent in Spanish and English ; youll communicate in Spanish with local teams and in English with global teams
• A Bachelors Masters 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 .

Benefits & Perks

• 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

Interview Process

The interview process will be conducted in Spanish; however some interviews will require English.

• Talent Interview
• Technical Interview I
• Technical Interview II
• Manager Interview

Required Experience

Senior IC

Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics