Engenheiro de Dados

Date: Oct 16, 2025 Location: Gaspar, SC, BR, Location: BAL - GASPAR - CENTRAL City: Gaspar State: Santa Catarina (BR-SC) Requisition Number: 41618 Bunge has an exciting opportunity available for Lead Data Engineer. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed. At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work. Most importantly, in all we do we live our values: Act as One Team by fostering inclusion, collaboration, and respect Drive for Excellence by being agile, innovative and efficient Do What's Right by acting safely, ethically, and sustainably Overview We are seeking a highly motivated and experienced Lead Data Engineer with strong expertise in data architecture, data engineering, data analysis, reporting, and a deep understanding of data products and data mesh concepts. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. At Bunge, you will be at the forefront of leveraging data analytics and technology to feed and fuel the world in a better, faster, and simpler way. Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization’s connected data, enabling the organization to advance the data-driven decision‑making capabilities of the organization’s enterprise. Essential Functions Participates on supply chain data products development projects, contributing to the design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex problems without clear precedent, requiring application of expertise to analyze the problem to deliver insights that help the organization’s business to achieve their goals. Advise other data and analytic professionals on data standards and practices. Foster a culture of sharing, re‑use, design for scale, stability, and operational efficiency of data and analytical solutions. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve the organization’s productivity as a team. Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles. Drive results through high standards, focus on key priorities, organization, and preparing others for change. Qualifications Bachelor’s degree required; Computer Science, MIS, or Engineering preferred; Post Graduate preferred. 3+ years of experience working in data engineering or architecture role, 5+ preferred. Proficient in programming language like Python or R. Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred). Experience developing and maintaining data warehouses in big data solutions. Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred). Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies. Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Passionate about Agile software processes, data‑driven development, reliability, and experimentation. Experience working on a collaborative Agile product team. Self‑motivated with strong problem‑solving and learning skills. Flexibility to changes in work direction as the project develops. Excellent communication, listening, and influencing skills. Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information. Strong work ethic; ability to work at an abstract level and gain consensus. Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. Veterans/Disabled Job Segment: Cloud, Testing, Data Analyst, Data Architect, Sustainable Agriculture, Technology, Data, Agriculture #J-18808-Ljbffr