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# Data Quality & Ai Engineer

- **Company:** Bunge Iberica SA
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Computer Programming, Information Engineering, Data Infrastructure, Data Flow Control, Python (Programming Language), Microsoft Copilot, Software Engineering, Systems Integration, Scripting, Google Cloud, Large Language Models, Multi-Agent Systems, Plex, Generative AI, Build Management, Information Technology, Virtual Agents, Api Design, Terraform, GPT, Serverless Computing
- **Published:** October 7, 2026
- **Apply:** https://www.recruit.net/job/data-quality-ai-engineer-jobs/0F40BF10CFA98F7F

## About the Role

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. What You Bring: 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

## Description

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 (Ia C) best