**Company Description:** We are more than 90,000 people who, every day, dedicate our passion and energy to fulfilling our Purpose of "Simplifying and Enjoying Life More." A Purpose that today lives through our physical and digital ecosystem across all our companies (Falabella Retail, Sodimac, IKEA, Tottus, Mallplaza, Falabella Inmobiliario, Falabella.com, Linio, Falabella Financiero, Banco Falabella, Falabella Soriana, Seguros Falabella, Fazil, Fpay, and Falabella Corporativo) and countries (Argentina, Brazil, Chile, China, Colombia, India, Mexico, Peru, and Uruguay). We value diverse perspectives because we understand diversity is the key to our innovation. We want to go beyond any limit, constantly challenge ourselves, enjoy doing what we love, and leave a mark on everything we do. And we know there’s one way to do it: as ONE TEAM. Discover more opportunities to live the \#ExperienciaFalabella at https://muevete.falabella.com/ **Job Responsibilities:** If you have a curious mind and love thinking big, this opportunity is for you! At Falabella.com, we are looking for our next Data Engineer based in Santiago, Chile. We are Falabella, ONE diverse team with over 100,000 collaborators made up of great brands: Falabella Retail, Sodimac, Banco Falabella, Seguros Falabella, Tottus, Mallplaza, Open Plaza, and Linio. Today, we operate in 7 Latin American countries, with offices in China and India. What is the main objective of the role? To develop advanced analytics solutions enabling proper monitoring and analysis of processes across e-commerce platforms. What will you do on a daily basis? * Develop and implement advanced analytical models (machine learning, forecasting, logistics optimization) to enhance strategic decision-making. * Design and implement KPIs, dashboards, and analytical tools in BigQuery and cloud environments (GCP) to support real-time business decisions. * Collaborate with multidisciplinary data teams (data scientists, data engineers, BI analysts), promoting collaboration and technical excellence. * Drive initiatives related to data quality, integrity, and governance, ensuring corporate standards. * Identify and prioritize automation opportunities and operational improvements in eCommerce based on data insights. What do you need to apply? * Professional background: Computer Engineering, Computing, Informatics Engineering or related STEM fields. * Availability to work onsite at least 3 days per week (mandatory) * Experience in Data Science/Analytics, participating in high-impact data teams and projects (mandatory) * Advanced proficiency in SQL (mandatory) * Experience developing or contributing to AI/machine learning tools (desirable) * Advanced proficiency in Python (mandatory) * Knowledge of data visualization tools (Power BI, Looker, Tableau) (mandatory) * Experience with Git/Gitlab (mandatory) **You’ll find in our team:** * Spaces to create and innovate. * Be part of a place full of development opportunities. * Have meaningful work that promotes work-life balance. * Belong to an energetic company! We are a company that supports Law 21015; we promote diversity and inclusion in all forms, regardless of religion, race, gender, disability status, or nationality. **Requirements:** **Required:** Computer Engineering, Computing, Informatics Engineering or related STEM fields. Experience in Data Science/Analytics, participating in high-impact data teams and projects Advanced proficiency in SQL (mandatory) **Knowledge of GCP tools:** Google Cloud Storage, BigQuery, and Cloud Functions (mandatory). Experience with Git/Gitlab (mandatory). Knowledge of data visualization tools (Power BI, Looker, Tableau). (Desirable) Experience developing or contributing to AI/machine learning tools Advanced proficiency in Python (mandatory) Availability to work onsite at least 3 times per week (mandatory) **Offer Conditions:**