Engenheiro de Dados
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-03-01
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager
Select how often (in days) to receive an alert:
Date: Jan 19, 2026
Location: Gaspar, SC, ,
City : Gaspar State : Santa Catarina (BR-SC) Country : Brazil (BR) Requisition Number : 42989
OverviewBunge has an exciting opportunity available for a 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
Main Accountabilities
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Solve complex data problems to deliver insights that help the organization's business to achieve their goals
- Create data products for analytics and data science team members to improve their productivity
- Advise other data and analytic professionals on data standards and practices
- Foster a culture of sharing, reuse, design for scalability, 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 the organization’s productivity as a team
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Has in-depth knowledge in optimizations and machine learning models. Adapts plans within the Department, and recommends solutions/best practices.
- 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.
- Manages projects/processes working independently with limited supervision. AND/OR provides leadership to professionals and/or support staff. Follow specific functional policy and broad procedure allowing the choice of tactics to reach the established goals.
- Leads technical discussion of data engineers of the same squad to ensure best solution implementation.
- Proficient in data science, optimization, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills.
- Can translate business needs into optimization components (e.g. Constraints, penalties and objective function)
- Develop business awareness of possible use cases and help them to understand the necessary concepts of data science and optimization to ensure better communication across functions.
- Post graduate degree in STEM field or Bachelor degree with 2-3 years experience as Data Engineer II
- 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
- Expe…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).