Senior Data Engineer

AB InBev | Growth Group; Campinas; On-site; BRL 180,000 - 260,000; Full time

Benefits offered by this job

Performance-based bonus

Meal allowance

Private pension plan

Health, dental, and life insurance

Job summary

AB InBev Growth Group in São Paulo, Brazil is seeking a hands-on Data Engineer to implement and maintain components of our data platform, including ingestion jobs, dbt models, Spark transformations, and CDC tasks. You will enforce data contracts, improve quality, and ensure security and compliance as part of a cross-functional team that uses Python, SQL, PySpark, and Scala in a cloud environment.

Experience with Airflow or Databricks Workflows, CI/CD, and a strong sense of data governance will

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar.
• Code quality: clear, readable, modular code following conventions.
• Verification: unit tests and data quality checks.
• Delivery: well-structured PRs with context and testing evidence.
• Stack: Python, SQL, and data processing with PySpark and/or Scala.
• Pipelines: experience with batch/stream components and orchestration (Airflow, Databricks Workflows).
• Data work: transformation, cleansing, aggregation, performance tuning for SQL and Spark.

Responsibilities

• Implement and maintain components of the data platform (ingestion jobs, dbt models, Spark transformations, CDC tasks, matching rules, deduplication).
• Make implementation decisions within a component (schema mapping, transformation logic, join strategy).
• Fix defects in transformations, ingestion jobs, or entity resolution logic.
• Ensure component outputs match the expected schema and data contracts.
• Improve a component’s performance and data quality checks when needed.
• Follow ETL and MDM standards and team patterns.

Skills

Python

SQL

PySpark

Scala

Airflow

Databricks

Git

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Azure DevOps

GitHub Actions

Databricks

Job description

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.

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.

The BEES AI organization drives data science and machine learning strategy across customer-facing products, logistics, fintech, and operations. We build end-to-end intelligent systems that optimize commercial execution, improve customer engagement, and enhance operational efficiency at global scale.

As a member of the BEES Frontline Data Science team, you will develop data-driven solutions that power sales force effectiveness, customer coverage strategies, and execution consistency across markets.

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 security and compliance reviews can trace what the pipeline does.

What you'll need:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar.
• Code quality: write clear, readable, modular code; follow team naming and formatting conventions; avoid unnecessary duplication in your own changes; prefer changes that can be understood without a verbal walkthrough.
• Verification: add required unit or transformation-level tests; validate schema assumptions and basic data quality conditions; ensure changes do not break existing behavior.
• Delivery: submit well-structured pull requests that include a clear description of the change, context, and expected impact, and evidence of testing.
• Stack (typical): Python, SQL, and data processing with PySpark and/or Scala as used in the team’s pipelines.
• Pipelines: practical experience building or maintaining batch/stream components with orchestration (for example, Apache Airflow, Databricks Workflows, or similar) and version control (Git).
• Data work: comfortable with transformation, cleansing, aggregation, and basic performance tuning for SQL and Spark workloads, given volume and complexity.
• Cloud: familiarity with services on a major provider (AWS, Azure, or Google Cloud) in the way the team deploys and runs jobs.
• Security baseline for data engineering: follow least-privilege IAM and service principals for pipelines; prefer encryption in transit and at rest where the platform provides it; keep dependencies and images within approved channels and address high-severity findings from scanners or security tooling when they affect your components.
• Compliance-aware delivery: When a change touches regulated data, new integrations, or new exports, document data purpose, flows, and safeguards in the PR or linked ticket so risk and compliance partners can assess impact without guesswork.

More about you:

• Hands-on with transformation tooling and data contracts in a shared warehouse.
• APIs or event interfaces used for data exchange between systems.
• Infrastructure-as-code or CI/CD (for example, Azure DevOps, Terraform, GitHub Actions) for job deployment.
• Familiarity withdata governance tooling (catalog, quality, policy tags) or vulnerability / secret scanning in CI for data repos and pipelines.

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 plans
• Discounts on medications
• Partnership withWellHub
• Childcare assistance
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship program*
• School supplies support
• Language learning platforms and training
• Transportation allowance

Equal Opportunity & Afffirmed Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Afffirmed 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.

Demographic Brazil

ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

When you apply to a job on this site, the personal information contained in your application will be collected by ABINBEV SERVICES LLC. Your personal information will be processed in accordance with the law for the purposes of managing ABINBEV’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.

On a voluntarily basis and subject to receiving your express consent, you’ll be asked demographic questions about your ethnicity, gender, sexual orientation and ability status. We collect this information for the purposes of supporting a diverse and inclusive workforce - it will not be considered in the hiring process or thereafter and all information will be reviewed collectively rather than individually. We won’t sell or share this information with third parties, but please note that we use Greenhouse Software Inc to manage the recruitment and hiring process on our behalf.

Your personal information will be retained by us for 2 (two) years from collection. You have the right to request access to your personal information, to request that your personal information be rectified or erased, and to request that processing of your personal data be restricted at any time. You can do so by contacting https://contactus.ab-inbev.com/ if you are located outside Europe, and emailing [e-mail] if you are located in Europe. We expect that our procedures will deal fairly and promptly with your request. However, if you remain dissatisfied, you have the right to lodge a complaint with your local data protection authority.