Business Intelligence Engineer

About the RoleAt 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 DoDesign 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 BringFluent in Spanish and English ; youll communicate in Spanish with local teams and in English with global teamsA 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 questionsStrong 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 HaveExperience 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 & 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 InterviewRequired Experience:ICKey SkillsBusiness Intelligence,Cognos,SQL,Power BI,QlikView,Data Visualization,ssrs,Tableau,SSIS,Data Modeling,Data Warehouse,Data Analysis SkillsEmployment Type : Full TimeExperience: yearsVacancy: 1#J-18808-Ljbffr