Data Quality & AI Engineer - Bunge

Overview
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In this role you’ll lead hands-on work on a cloud-native data platform, focused on quality and AI-driven solutions. You’ll join a global team to advance data governance, AI-enabled data products, and scalable pipelines on Google Cloud. You’ll collaborate with engineers, product owners, and governance teams to drive decision-ready insights. This is a chance to shape a data-centric platform within a mission-driven company that values collaboration, agility, and innovation.

Compensaciones / Beneficios

• strong compensation and benefits package
• generous paid time off
• flexible work arrangements
• hybrid work environment
• opportunity to progress
• values-driven culture

Responsabilidades

• Design, develop, and maintain scalable data quality applications, services, and automation frameworks using Python
• Build and deploy Generative AI solutions, including AI assistants, copilots, RAG architectures, and intelligent automation workflows
• Develop and maintain AI Agent and multi-agent orchestration solutions with modern LLM frameworks and cloud-native services
• Implement cloud infrastructure using Terraform and IaC best practices
• Develop and support data quality solutions on Google Cloud Platform (GCP) including BigQuery, Cloud Run, Cloud Functions, DataPlex, Vertex AI, Cloud Storage, Pub/Sub, 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 technical and non-technical stakeholders

Requisitos principales

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field
• 2-4 years of experience in Software xkdbapo Engineering, Data Engineering, Cloud Engineering, or a related technical role
• Strong Python skills (API development, automation, scripting, application development)
• SQL, REST APIs, Git
• Knowledge of Cloud & Infrastructure, Google Cloud Platform (GCP), Terraform, Cloud Functions, DevOps & Platform Engineering, CI/CD, Docker, and IaC

• Cross-functional collaboration
• Effective communication with technical and non-technical stakeholders
• Influencing and mentoring to gain commitment and grow teams
• Python programming
• API development
• SQL and BigQuery