Data Quality & AI Engineer

City :
Sant Just Desvern State :
Barcelona (ES-B) Country :
Spain (ES) Requisition Number : 47074

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, 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

We are looking for a motivated and hands-on Data Quality & AI Engineer to join our Data Platform team. This role is focused on designing, developing, and deploying cloud-native solutions on Google Cloud Platform (GCP), with a strong emphasis on Python development, Generative AI, AI Agents, Infrastructure as Code (Terraform), and modern data platform capabilities.

The successful candidate will contribute to the development of scalable Data Quality AI-powered solutions, automation frameworks, and cloud services that support our Data Mesh and Data Platform strategy. You will work closely with Data Engineers, Product Owners and Data Governance teams to build innovative solutions that improve productivity and data quality for better decision-making across the organization.

This position is ideal for an engineer with strong software development skills who is eager to apply AI technologies, cloud engineering practices, and automation to solve real data quality challenges.

• 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) best practices.
• Develop and support data quality solutions on Google Cloud Platform (GCP), including services such as Big Query, Cloud Run, Cloud Functions, Data Plex, Vertex AI, Cloud Storage, Pub/Sub, and Dataflow.
• Build APIs, integrations, and reusable libraries to support AI and data platform initiatives.
• Participate in evaluating and adopting emerging AI, LLM, and cloud technologies.
• Communicate technical concepts and solution designs effectively to both technical and non-technical stakeholders.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 2-4 years of experience in Software Engineering, Data Engineering, Cloud Engineering, or a related technical role.
• Strong programming skills in Python, including API development, automation, scripting, and application development; SQL, REST APIs, Git.
• Strong knowledge on Cloud & Infrastructure, Google Cloud Platform (GCP), Terraform, Cloud Functions, Dev Ops & Platform Engineering, CI/CD, Docker and IaaC.
• Experience working with Large Language Models (LLMs), Generative AI applications, or AI-powered solutions.
• Experience building or contributing to AI Agent or agent orchestration frameworks is highly desirable.
• Familiarity with containerization and cloud-native deployment practices (Docker, Cloud Run, Kubernetes is a plus).
• Strong SQL knowledge and experience working with modern data platforms and analytical databases such as Big Query.
• Exposure to data engineering concepts, data pipelines, and distributed data architectures is…