AI-Driven Data Quality Engineer on GCP

Bunge; Sant Just Desvern; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work environment

Competitive compensation package

Generous paid time off

Descripción de la vacante

Bunge is seeking a motivated Data Quality & AI Engineer to join the Data Platform team in a hybrid setup. You will design, develop, and deploy cloud-native data quality and AI solutions on Google Cloud, focusing on Python, AI agents, and Terraform-based infrastructure.

You will collaborate with Data Engineers, Product Owners, and Data Governance teams to drive scalable data quality improvements and AI-powered automation across the data mesh.

Formación

• Bachelor's degree in Computer Science, Software Engineering, IT, or related field.
• 2-4 years of experience in Software/Data/Cloud engineering or related technical role.
• Strong Python, API development, automation, scripting, and application development.
• Strong knowledge of Cloud & Infra, GCP, Terraform, Cloud Functions, DevOps, CI/CD, Docker and IaC.
• Experience with Large Language Models (LLMs) or Generative AI applications.
• Experience building or contributing to AI Agent/orchestrator frameworks is highly desirable.
• Familiarity with containerization and cloud-native deployment (Docker, Cloud Run, Kubernetes).
• Strong SQL knowledge and experience with BigQuery or modern data platforms.
• Exposure to data engineering concepts, data pipelines and distributed architectures.
• Basic understanding of data quality, observability, and data governance.

Responsabilidades

• Design, develop, and maintain scalable data quality applications and automation frameworks using Python.
• Build and deploy Generative AI solutions, including AI assistants, copilots, and RAG architectures.
• Develop AI Agent and multi-agent orchestration solutions using LLM frameworks and cloud-native services.
• Implement cloud infrastructure using Terraform and IaC best practices.
• Develop and support data quality solutions on GCP, including BigQuery, Cloud Run, Cloud Functions, DataPlex, Vertex AI, Dataflow.
• Build APIs, integrations, and reusable libraries for AI/data platforms.
• Evaluate and adopt emerging AI, LLM, and cloud technologies.
• Communicate technical designs effectively to technical and non-technical stakeholders.

Conocimientos

Python

API development

Automation

SQL

Git

LLMs

Generative AI

AI Agents

Terraform

GCP

Docker

Kubernetes

BigQuery

Educación

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field

Herramientas

GCP

Terraform

CI/CD

Docker

Kubernetes

BigQuery

Descripción del empleo

Bunge is seeking a motivated Data Quality & AI Engineer to join the Data Platform team in a hybrid setup. You will design, develop, and deploy cloud-native data quality and AI solutions on Google Cloud, focusing on Python, AI agents, and Terraform-based infrastructure.

You will collaborate with Data Engineers, Product Owners, and Data Governance teams to drive scalable data quality improvements and AI-powered automation across the data mesh.