We are more than 40,000 people who work with a focus on safety, integrity, collaboration, and simplification—the pillars that support our culture. **We create value** for our shareholders, customers, partners, and employees through an **integrated business ecosystem**, beginning with sugarcane cultivation and extending to the production and commercialization of ethanol, sugar, and bioenergy. We also operate—under license from the Shell brand—in fuel, lubricants, and other specialty products distribution in Brazil, as well as refining operations in Argentina and fuel derivatives and lubricants distribution in Argentina and Paraguay. Do you identify with this? We are seeking a **Senior Data Engineering Analyst** to join one of our Supply Chain product squads, working in a **remote work** model. **Responsibilities and duties** **WHAT YOUR DAY-TO-DAY WILL LOOK LIKE:** * Analyze root causes using internal and external data and processes to address specific business questions and identify business opportunities and improvements; * Build and optimize data pipelines, architectures, and complex and unstructured datasets; * Manipulate, process, and extract business value or solutions from large, disconnected datasets; * Support and collaborate with cross-functional teams in a dynamic environment; * Create and maintain structured multi-source data pipelines feeding models and dashboards to meet business needs; * Assemble large (hierarchies and aggregations) and complex datasets aligned with functional/non-functional business requirements; * Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, suggesting infrastructure scaling for greater scalability; * Develop metrics grounded in business rules to measure deliverables proposed by departments. **Requirements and qualifications** **WHAT YOU NEED TO HAVE:** * Bachelor’s degree in Computer Science, Systems Analysis and Development, Information Systems, Software Engineering, Computer Engineering, or related fields; * Advanced proficiency in Microsoft Office Suite (Excel, PowerPoint, Word); * Knowledge of Python, Apache Spark, pipeline orchestration tools (e.g., Airflow, NiFi), and public cloud platforms (e.g., AWS, Azure, GCP); * Prior experience in Data Engineering or related disciplines; * Previous experience consuming REST and SOAP APIs; * Intermediate/advanced English proficiency in writing and reading; * Prior experience prioritizing business demands. **Additional information** **SELECTION PROCESS STEPS:** Our process includes three main stages (there may be additional ones, and you’ll be informed if you advance): * Application—completion of this form and any additional required information. * HR interview—a conversation to get to know each other. * Leadership interview—a more technical discussion to further detail daily responsibilities and challenges. All communication will be via email and phone—please ensure your contact details are up to date. We operate in ethanol and sugar production and in fuel, products, and services distribution under the licensed Shell brand in Brazil, Argentina, and Paraguay. We rank among Brazil’s largest private corporate groups, and our team is our greatest differentiator: over 40,000 employees and 15,000 business partners spread across the country. Want to join our company? Then come to Raízen!