Analytics Engineer

Fever Up
Argentina
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Collaborative mindset","Communication skills","Adaptability","Stakeholder management","Data quality focus"]

Design and maintain dbt/SQL data models that turn raw data into trusted, self-service datasets. Partner with data engineering to define and certify business-critical metrics and ensure quality through testing, observability, and governance. Collaborate with B2B, Marketing, CRM, and Product squads to build reusable domain assets, support analytics discovery via BI tools, and help evolve Airflow-based orchestration and a data-mesh approach.

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FursaFursa
Fever Up
Fever Up
1 day ago

Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Design and maintain dbt/SQL data models that turn raw data into trusted, self-service datasets. Partner with data engineering to define and certify business-critical metrics and ensure quality through testing, observability, and governance. Collaborate with B2B, Marketing, CRM, and Product squads to build reusable domain assets, support analytics discovery via BI tools, and help evolve Airflow-based orchestration and a data-mesh approach.
Location: Argentina
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, build, and maintain dbt/SQL data models that produce clean, trusted datasets for self-service and reporting.
  • •Collaborate with data engineering to define and certify business-critical metrics across domains like revenue, engagement, and marketing performance.
  • •Work with business squads to translate needs into reusable data assets and support a data-mesh/domain ownership approach.
  • •Ensure data quality and consistency by partnering on testing frameworks, observability, and governance.
  • •Support self-service analytics using existing visualization/BI tools and contribute to Python-based Airflow pipelines for automation and orchestration.

Pay and Benefits

Perks:Health InsuranceRemote WorkEnglish LessonsWellhub Membership

Key Requirements

  • •Fluent in Spanish and English, collaborating across local Spanish-speaking teams and global English-speaking teams.
  • •Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
  • •Strong experience with SQL and data modeling (e.g., star/snowflake schemas, data vault).
  • •Hands-on experience with dbt (or similar transformation frameworks).
  • •Hands-on experience with Python and orchestration frameworks such as Airflow (e.g., Dagster, Prefect).
Education:Bachelor's in Computer Engineering, Data Engineering, Data Science, or a related field
Skills:Collaborative mindsetCommunication skillsAdaptabilityStakeholder managementData quality focus
Languages:SpanishEnglish
Tech Stack:SnowflakeDBTAirflowDataHubMetabaseSQLPythonDagsterPrefectBigQueryRedshiftSupersetTableauData modelingData meshData governanceObservability

Company Brief

Fever Up
Fever is a global events discovery and ticketing platform that curates and sells experiences, from immersive theatre and pop-ups to concerts and local activities, helping venues and organizers reach audiences worldwide.
Industry: Events & Live Entertainment
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Madrid, Spain
Founded: 2011
WebsiteLinkedIn