07 sep
|
Bunge Iberica
|
Madrid
07 sep
Bunge Iberica
Madrid
Overview:
Bunge has an exciting opportunity available for a Data Quality & AI 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, versátil 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:
Contribute to data quality and governance initiatives by applying the next areas of responsibilities:
- Design, develop, and maintain scalable data quality applications, services, and automation frameworks using Python.
- Build and deploy Generative AI solutions, including AI assistants, copilots, Retrieval-Augmented Generation (RAG) architectures, and intelligent automation workflows.
- Develop and maintain AI Agent and multi-agent orchestration solutions leveraging modern LLM frameworks and cloud-native services.
- Implement cloud infrastructure using Terraform and Infrastructure as Code (IaC)
📌 Data Quality (Madrid)
🏢 Bunge Iberica
📍 Madrid