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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Engineer & AI - **Company:** Bunge LTD - **Location:** Sant Just Desvern, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, DevOps, Distributed Data Store, Data Flow Control, Python (Programming Language), Cloud Services, Software Engineering, SQL Databases, Scripting, Google Cloud, Large Language Models, Multi-Agent Systems, Generative AI, Infrastructure as Code (IaC), Git, Build Management, Containerization, Kubernetes, Information Technology, Google Cloud Functions, Virtual Agents, Api Design, Restful APIs, Terraform, GPT, Data Pipelines, Serverless Computing, Docker - **Published:** August 27, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=29f946d727bb0b2d ## About the Role We are looking for a motivated and hands-on Data Quality Engineer & AI 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., * 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, DevOps & 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 BigQuery. * Exposure to data engineering concepts, data pipelines, and distributed data architectures is preferred. * Basic understanding of data quality, observability, and data governance concepts is a plus. * Use knowledge of Bunge's business, structure and strategy to develop innovative solutions to improve results or eliminate problems. * Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles. * Drive results through high standards, focus on key priorities, organization, and preparing others for change. ## Description 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., 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) best practices. * Develop and support data quality solutions on Google Cloud Platform (GCP), including services such as BigQuery, Cloud Run, Cloud Functions, DataPlex, 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. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [Got AI ideas but no money? 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