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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Engineer (Data Modeling & Bi) - **Company:** Feverup - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, BigQuery, Computer Engineering, Information Engineering, Data Infrastructure, Data Vault Modeling, Data Warehousing, Python (Programming Language), Primavera, SQL Databases, Tableau (Software), Snowflake, Kubernetes, Collibra, Data Analytics, Star Schema, Amazon Redshift - **Published:** September 7, 2026 - **Apply:** https://www.buscojobs.com.es/senior-analytics-engineer-data-modeling-bi-en-madrid-ID-369823839 ## About the Role 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 ## Description Hey there!We'reFever, the world's leading tech platform for culture and live entertainment.Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we're revolutionizing the way people engage with live entertainment.Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.Our results? We've teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!Ready to be part of the experience?Now, let's discuss this role and what you will do to help achieve Fever's mission.About the RoleAtFever, 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 anAnalytics 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.What You'll DoDesign, build, and maintaindata models(DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.Collaborate with thedata engineering teamto define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).Work withbusiness squads(B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.Ensuredata quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.Supportself-service analyticsby 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 toAirflow pipelines in Python, supporting automation and orchestration needs.Contribute to ourdata mesh vision, creating domain-owned datasets while following platform and engineering guidelines.What You BringFluent inSpanish and English; you'll communicate in Spanish with local teams and in English with global teamsA 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 questionsStrong experience withSQLand data modeling (star/snowflake schemas, data vault, or similar).Hands-on experience withDBT(or similar transformation frameworks).Hands-on experience withPythonand orchestration frameworks (Airflow, Dagster, Prefect).Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).Experience with BI tools (Metabase, Superset, Tableau, etc.).Understanding ofdata quality, governance, and observabilitypractices.Nice to HaveExperience in afederated or data mesh environment.Familiarity withdata catalog tools(DataHub, Collibra, Amundsen).Exposure to analytics in domains likemarketing, CRM, or B2B reporting.Benefits & PerksAttractive compensation package consisting of base salary and the potential to earn a significant bonus for top performanceStock optionsResponsibility from day one and professional and personal growthOpportunity to have a real impact in a high-growth global category leader40% discount on all Fever events and experiencesHome office friendlyHealth insurance and other benefits such as Flexible remuneration with a 100% tax exemption through CobeeEnglish LessonsGympass MembershipPossibility to receive in advance part of your salary by PayflowInterview ProcessThe interview process will be conducted in Spanish; however, some interviews will require English.Talent InterviewTechnical Interview (90')Manager Interview ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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