Data Engineer – Analytics, BI

• Operate, monitor, and optimize data pipelines for ingestion, transformation, and publication on AWS, Airflow, and Redshift
• Model and transform data with SQL and dbt, building reliable datasets for internal and client reporting
• Design and maintain dashboards and reports in Metabase, Luzmo, Superset, and Tableau
• Translate ambiguous business requirements into actionable metrics and visualizations
• Diagnose and resolve incidents, reprocessing needs, and data-quality deviations in production reports
• Document definitions, dependencies, and construction criteria to maintain the data ecosystem
• Propose and apply technical guidelines for modeling, publication, integrations, and operations aligned with Head of Data standards
• Support legacy Pentaho processes during migration or decommissioning
• Collaborate with Product, Technology, CX, Implementation, and Customer Success to prioritize improvements and address cross-functional needs
• Translate business needs into datasets, models, pipelines, and dashboards aligned with the Head of Data roadmap

• Experience in Data Engineer, Analytics Engineer, BI Engineer, or similar roles
• Strong SQL skills for extraction, validation, modeling, and query optimization
• Experience operating data pipelines in cloud environments, ideally AWS
• Practical knowledge of Redshift and data warehouse structures
• Experience working with data lakes, source integration, and transformation layers
• Experience with Airflow and dbt
• Experience building reporting solutions and dashboards
• Ability to work with BI tools including Metabase, Luzmo, Superset, Tableau, and legacy Pentaho processes
• Experience collaborating with non-technical stakeholders and translating ambiguous requirements
• Operational organization and rigor
• Attention to detail and data quality orientation
• Autonomy to diagnose and solve problems
• Prioritization skills in contexts with multiple requests
• Clear communication with technical and business teams
• Continuous improvement and simplification mindset

• Work with global brands and disruptive startups
• Remote work / Home office
• If a hybrid or on-site model is required, you will be informed from the first session
• Work schedule aligned with the assigned project/team
• Monday to Friday schedule
• Legal benefits (Applicable for Mexico)
• Day off on your birthday
• Private health insurance (Applicable for Mexico)
• Life insurance (Applicable for Mexico)
• Multicultural teams
• Access to courses and certifications
• Meetups with industry experts and top universities
• Virtual networking events and interest groups
• English classes
• Opportunities within our different business lines
• Proudly certified as a Great Place to Work