Intermediate 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 AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Build and run platform tooling Design, implement, and maintain shared libraries , data pipelines , and automation workflows so data teams ship workloads safely and consistently. Partner with data teams to design and ship platform features and patterns that improve developer ergonomics and keep teams on a consistent stack. Build reusable platform components (ingestion patterns, observability hooks, data-quality integrations) that teams adopt instead of one-off implementations. Keep schemas, contracts, and interfaces clear across releases and pipeline templates and actively think about how changes impact teams that are using it. Observability and developer enablement Build observability integrations (metrics, logging, tracing, alerting, automations) and CI/CD foundations (build validation, policy-as-code, test harnesses). Help teams adopt platform tools through docs, examples, and hands-on support. Work on lakehouse workloads and jobs on cloud infrastructure, primarily in Python . What you'll need: Solid experience with data engineering and data platform tooling. Solid Python and SQL for automation, library development, and data-platform workflows. Experience building or maintaining CI/CD pipelines with Git and modern pipeline tooling. Hands-on experience with Databricks or similar lakehouse platforms (jobs/workflows, workspace operations, catalog governance). Familiarity with Azure Cloud . Good to have: OpenTelemetry, Poetry, UV, and package publishing and artifact management. Testing: unit tests, pipeline validation, schema or contract checks. What We Offer: Performance based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev…