Intermediate Data Engineer

AB InBev

Campinas

Presencial

BRL 180 000 - 280 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

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

Resumo da oferta

AB InBev Growth Group is seeking a data platform engineer to build and run platform tooling in a demanding data environment. You will design, implement, and maintain reusable components, libraries, and data pipelines to support our analytics workloads.

You will collaborate with data teams to define platform features, ensure consistent stack usage, and enhance observability, testing, and deployment pipelines across lakehouse workloads, primarily using Python.

Qualificações

  • Solid experience with data engineering and data platform tooling.
  • Strong Python and SQL for automation and workflows.
  • Experience with CI/CD pipelines and Git.
  • Hands-on with Databricks or lakehouse platforms.
  • Familiarity with Azure Cloud and tooling.

Responsabilidades

  • Build and run platform tooling.
  • Design, implement, and maintain shared libraries, data pipelines, and automation workflows.
  • Partner with data teams to design and ship platform features and patterns.
  • Build reusable platform components for ingestion, observability, and data quality.
  • Keep schemas and interfaces clear across releases and templates.
  • Focus on observability and developer enablement.
  • Create observability integrations and CI/CD foundations.
  • Help teams adopt platform tools via docs and hands-on support.
  • Work on lakehouse workloads and jobs on cloud, primarily in Python.

Conhecimentos

Data engineering
Python
SQL
CI/CD pipelines
Git

Ferramentas

Databricks
Azure Cloud
OpenTelemetry
Poetry
UV

Descrição da oferta de emprego

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 products*
  • Clube Ben partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

*Rules applied

Equal Opportunity & Affiantive Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affiantive 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, AB InBev 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.abinbev.com

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