As a **Data & Analytics Technical Leader** at Mercado Libre, you will design and scale innovative and secure systems that solve real, high-impact problems. You will work in a dynamic environment with cutting-edge technology, applying engineering best practices, proprietary AI models, and continuous learning, with the purpose of democratizing e-commerce and financial services in Latin America. Imagine yourself leading challenging, dynamic, and innovative projects and **being responsible for:** * Leading the design, development, and evolution of tools, platforms, and data solutions that promote the adoption of a Data & AI culture across the organization and ensuring the quality, scalability, and performance of data products and services, while upholding engineering best practices, security, and governance. * Guiding the technical team in implementing data engineering and data science solutions, as well as automating processes, ensuring consistent, high-impact deliveries, establishing excellence standards, and fostering collaboration; collaborating with business, product, and technology teams to understand needs, prioritize initiatives, and transform abstract demands into concrete, scalable solutions. * Deeply exploring and analyzing datasets to identify patterns, trends, and opportunities, aiming to generate recommendations and maximize the adoption of a data-driven mindset; mentoring technical talent, setting excellence standards and frameworks, promoting a culture of innovation/experimentation, and encouraging interdisciplinary collaboration. * Monitoring emerging trends in data engineering and data science (including GenAI) to incorporate cutting-edge solutions into the internal ecosystem. **What we look for in you?** * Experience in technical leadership within data engineering and analytics projects, ensuring quality, scalability, governance, and business value delivery. Solid knowledge of SQL (preferably BigQuery) and expertise in building and orchestrating data pipelines (ETL/ELT) with focus on automation, observability, and data quality. * Proficiency in Python (Data/ML ecosystem) and experience with data analysis and visualization tools such as BigQuery, Looker, Tableau, and A/B Testing. * Experience in data architecture, including dimensional modeling, event-driven architecture, data lakehouse, data mesh, and governance, security, and data lineage practices. * Experience with Machine Learning and AI solutions, applying MLOps principles, as well as familiarity with distributed systems and large-scale APIs. **Are you excited about leaving your mark on Latin America’s technology landscape?** Apply now and join our mission! Hybrid work model. Osasco, SP office.