Client: Our client is a leading airline in Latin America, committed to delivering frictionless passenger experiences and enabling data\-driven strategic decisions across all operations. * Project overview: The Touchpoint team focuses on everything the passenger experiences from arrival to departure, as well as all ground operations supporting the journey (check\-in, kiosks, counters, boarding). * The mission is to deliver seamless experiences, prioritize high\-value customers, and enable efficient operational processes. * The Senior Data Engineer will play a key role in fostering a data\-driven culture by providing clean, governed, and reliable data models and metrics that support problem discovery, evidence\-based prioritization, and continuous measurement of value and OKRs across related squads. * Position overview: We are seeking a Senior Data Engineer skilled in transforming raw data into reliable analytical models, metrics, and visualizations that unlock insights and guide strategic airport decisions. * This role combines deep SQL expertise, data modeling, governance, metrics design, dashboarding, Python for data prep, and close collaboration with product and operational teams. * Responsibilities: Build and maintain clean, governed, reusable analytical models and transformations. * Actively participate in problem discovery with analysis, metrics, and data validation. * Design, implement, and maintain key metrics, OKRs, and tracking plans to support strategic decisions. * Develop dashboards and visualizations (Looker Studio, Grafana) for decision\-making and prioritization. * Ensure data quality, lineage, documentation, and governance for reliable consumption. * Optimize SQL queries and analytical models in GCP for performance and efficiency. * Collaborate with Product Managers, Data Scientists, Data Engineers, and operational teams. * Support chapter initiatives: Data Foundation, automation, impact measurement, and RUN operations. * 5\+ years in Data Engineering, Analytics Engineering, or similar roles. * Advanced proficiency in SQL. * Python for data preparation, analysis, and analytical prototypes. * Experience designing and tracking metrics and OKRs. * Strong skills in dashboard creation (Looker Studio, Grafana). * Knowledge of data quality, lineage, governance, and documentation. * Experience optimizing models and queries in GCP (BigQuery primarily). * Experience working in Agile environments. * Good spoken Spanish. * Good spoken English. * Nice to have: Experience with dbt for modeling and standardization. * Knowledge of experimentation, tracking, impact measurement. * Familiarity with Dataflow, Pub/Sub, Airflow, or other orchestrators. * Clear communication oriented toward business impact. * Analytical and systemic thinking. * Autonomy, ownership, and high reliability. * Ability to translate data into actionable decisions. * Proactivity in identifying issues and opportunities through data.