HEINEKEN MÉXICO represents the brewing group with the longest tradition in Mexico since its founding in 1890, with a team in Mexico of more than 18,000 employees. Our company values include bringing fun to the lives of our consumers and collaborators by promoting our products responsibly and fostering an environment where people can fully unlock their potential and enjoy their work. We have a passion for quality in everything we do, we invest in our people, new technologies, and continuous improvement processes in our organization. Furthermore, we respect the individual, society, and the environment, committing ourselves to the communities where we operate, respecting the Universal Declaration of Human Rights, and following the laws of the countries in which we operate.At HEINEKEN, we brew great beers and we build great brands. We are committed to surprising and exciting our consumers and employees everywhere. We have a proud history and heritage in brewing and in our communities. With operations in over 70 markets globally, we are the world's most international brewer.We Go Places! How about you?Location: MonterreyFunction: Digital & TechnologySub Function: Digital & Technology - SolutionsType of Contract: PermanentDescription:The Data Engineer will play a crucial role in designing, implementing, and maintaining scalable data pipelines and infrastructure to support our organization's data needs.Requirements:Bachelor's degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, Physics, or a related technical discipline or equivalent combination of education, training, and experience.Experience: 3+ years of experience in data engineering and related fields.Skills:Demonstrated expertise in designing, developing, and maintaining data pipelines.Proven experience in implementing and optimizing data storage solutions, such as databases and data warehouses.Data analytics skills using Python.Background in data modeling and database design.Experience with cloud platforms and services (Azure and Databricks).Knowledge of PySpark with the ability to apply it to write Spark applications as well as analyze data in a distributed environment.Proficiency in SQL.English level: business conversation.#J-18808-Ljbffr