Ger Engenheiro de Dados

Location: BAL - SEDE Country: Brasil (BR) Requisition Number: 40505 Bunge has an exciting opportunity available for a Ger Engenheiro de Dados . 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, 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, flexible work arrangements, and opportunities for progression. 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 Ger Engenheiro de Dados with strong expertise in data architecture, data engineering, and a basic understanding of data products and data mesh. The Data Engineer will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytics solutions. These solutions will generate insights from the organization's connected data, enabling the organization to enhance its data-driven decision-making capabilities. This role requires an agile learner, strong problem-solving skills, and a desire to solve complex data problems and deliver insights to support 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. Essential Functions: Create data products for analytics and data scientist team members to improve their productivity. Mentor and coach other data and analytics professionals on data standards and practices. Foster a culture of sharing, re-use, scalable design, and operational efficiency of data and analytical solutions. Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve organizational productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Partner with business analysts and solution architects to develop technical architectures for strategic enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and applied mathematics. Ensure timely analysis and testing for regular maintenance of solutions over time. Establish and implement data strategies for supply chain. Design and develop scalable solutions with international scope. Be recognized as an external thought leader in Data Engineering and Architecture. Knowledge and Technical Competencies: Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication. Ability to design data architecture to support analytics squads. Evaluate different cloud services for cost-efficient solutions. Deep understanding of data mesh concepts. Assist in structuring data architecture solutions for the business. Develop business awareness of potential use cases. Bachelor’s degree in Computer Science, MIS, or Engineering; postgraduate or PhD preferred. 6 years of experience in data engineering or architecture; 10 years preferred. Expertise in SQL, data analysis, and at least one programming language (Python or Scala). Experience with data warehouses in big data solutions. Experience with cloud computing services and infrastructure. Database development experience with Hadoop or BigQuery, and various relational, NoSQL, and cloud databases. Knowledge of data and analytics concepts such as dimensional modeling, ETL, data governance, warehousing, and handling structured/unstructured data. Big Data development experience with Hive, Impala, and Spark. Mentor junior team members and act as a technical consultant. Serve as a domain expert and functional advisor for stakeholders. Manage communication with product owners and lead team meetings. Divide projects into workstreams and delegate tasks effectively. Ensure project execution and timely delivery. 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 consumers worldwide. The company is headquartered in St. Louis, Missouri, with 25,000 employees and over 350 port terminals, processing plants, grain facilities, and packaging operations globally. Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability, or veteran status, or any other protected status. J-18808-Ljbffr

Location: Brazil, BR

Posted Date: 7/10/2025