Senior Data Engineer

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. What you'll do: Implement and maintain individual components of the data platform—for example, ingestion jobs, dbt models, Spark transformations, CDC tasks, matching rules, or deduplication logic. Make implementation decisions within a component : schema mapping, transformation logic, join strategy, and similar choices bounded to that unit of work. Fix defects in transformations, ingestion jobs, or entity resolution logic when issues are identified. Ensure component outputs match the expected schema, data contracts, and downstream expectations. Improve a component’s performance, data quality checks, or reliability when gaps or incidents require it. Follow existing ETL and MDM standards and team patterns rather than inventing parallel approaches. Apply security and compliance expectations to your components: handle sensitive and personal data according to classification, retention, and minimization rules; avoid logging, samples, or exports that over-collect or expose regulated fields beyond what the use case requires. Use approved identity, access, and secrets patterns for jobs and services (for example, role-based access, managed identities, or vault-backed credentials)— not hard-coded secrets or ad hoc shared accounts. Support auditability of changes and data movement as the team defines it (for example, clear job ownership, metadata, lineage hooks, or evidence packs for controls) so