Senior Data Engineer

Bunge has an exciting opportunity available for a Senior 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. 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 Senior Data Engineer with strong expertise in data architecture,data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. They are an Agile learner, possess strong problem-solving skills, work as partof 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 ofleveraging 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'sconnected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise. Essential Functions Main Accountabilities Solve complex data problems to deliver insights that helps the organization's business to achieve their goals Create data products for analytics and data scientistteam members to improve theirproductivity Mentor and coach other data andanalytic professionals on data standards andpractices Foster a culture of sharing, re-use, design for scalestability, and operational efficiency of data andanalyticalsolutions Lead the evaluation, implementation and deployment ofemerging tools and process for analytic dataengineeringin order to improve the organization'sproductivity as ateam Develop and deliver communication and educationplans on analytic data engineering capabilities,standards, andprocesses. Partner with business analysts and solutions architectsto develop technical architectures for strategicenterprise projects andinitiatives. Learn about machine learning, data science, computervision, artificial intelligence, statistics, and/or appliedmathematics Ensure timely analysis and testing for regular maintenance of solutions over time Impact/Dimensions Develops plans within the Supply chain. Is recognized as an expert in own area within the organization. Major Opportunities and Decisions Applies acquired expertise to analyze and solve problems without clear precedent. Identifies applications of functional knowledge and existing methodologies to solve complex problems; Anticipates internal and/or external business challenges and/or regulatory issues; recommends process, product or service improvements. Takes a new perspective on existing solutions. Management/Leadership Manages operational plans, large projects and/or processes with limited oversight from manager. Leads and/or participates with comparable influence in large projects/initiatives; AND/OR provides leadership to professionals and support. Contributes to short to mid term (1-3 years) talent optimization plans to execute strategies in job area. Leads technical discussion across other data Engineer to ensure best practices, approaches and implementation. Key Relationships, Stakeholders & Interfaces Stakeholders of this role include Data engineers, BSA, MLE, product owners and main business stakeholders. Helps train/upskill members of the team in Data engineer Tools/techniques and provides high quality solution(s) to the product owners. Knowledge and Technical Competencies Can help business structure the data solution. Proficient in SQL and data analysis and experience with at least one programming language (Python or Scala preferred) Conceptual understanding of data mesh Develop business awareness of possible use cases Education/Experience PhD in STEM field with research experience in Data