Intermediate Data Engineer
AI Summary
Builds and maintains platform tooling, shared libraries, data pipelines, and automation workflows for data teams on a B2B e-commerce and SaaS platform.
About this role
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:
- 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 products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
ABI Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, ABI Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.bees.com and www.abinbev.com
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