Data Quality Engineer

role about centralizing data quality checks, but about enabling a distributed and automated framework where quality is embedded at the source and throughout the data product lifecycle, with a strong focus on GCP-native quality and GenAI solutions. Main Accountabilitie: - Collaborate with Data Governance and Data Product Owners to define and evolve global data quality standards, policies, and metrics aligned with our Data Mesh principles. - Advise on data contract design to embed quality expectations and validations at the point of data production, leveraging GCP services for enforcement. - Champion a data-as-a-product mindset, ensuring data quality is seen as a core attribute of product excellence across GCP data products. - Design, develop, and maintain self-serve data quality frameworks (DQaaS)., libraries, and tools that empower domain teams to implement, monitor, and enforce quality checks on their own data products within the GCP environment. - Define and implement the

strategy in Data Observability and Self-service consumption at scale to cover all data products in the Platform. - Contribute to the design and evolution of the overall GCP-based Data Platform’s capabilities related to data quality, observability, and metadata management, specifically for services like BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub. - Evaluate and recommend new data quality technologies and tools that align with our Data Mesh vision and integrate seamlessly with our existing GCP ecosystem. - Communicate regularly with stakeholders on data quality progress, challenges, and opportunities. Education and Experience: - Bachelor’s degree in computer science, Information Management, or a related field. - Minimum of 5 years of experience in Data Quality Engineering, Data Engineering, or a related data role with a strong focus on data reliability. - Proven track record of designing and implementing data quality frameworks at scale within a GCP environment, ideally applying DataOps practices. - NIce to have: Experience building multi-agent systems or orchestrations - Hands-on experience in building data quality solutions within Data Mesh architecture. - Relevant GCP certifications (e.g., Professional Data Engineer, Cloud Architect, Data Analytics Specialization) are highly preferred. - Deep understanding of Data Platform, Data Products, and Data Mesh principles, with practical experience in implementing distributed data quality. - Strong knowledge with hands-on experience in data quality management processes and techniques, including data profiling, validation, monitoring, and remediation. - Expertise in Google Cloud Platform (GCP) data services is essential, including: - Proficiency in Python for data manipulation, API, scripting, and building data quality tools. - Experience in prompting engineering to define data quality rules using some of LLM in the market - Strong SQL skills and experience

writing complex queries for BigQuery and other data stores. LI-MŚ1 At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed-in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com. Every day our people exemplify these values, which represent Bunge at its core: * We Are One Team - Collaborative, Respectful, Inclusive * We Lead The Way - Agile, Empowered, Innovative * We Do What’s Right - Safety, Sustainability, With Integrity If this sounds like you, join us We value and invest in people who believe in our purpose and are excited to live it every day - people who are #ProudtoBeBunge