---
title: 'Senior Data Engineer at BEES'
canonical: 'https://feeny.ai/job/senior-data-engineer-bees-campinas-sao-paulo-vkr5vma26mf7'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Data Engineer at BEES

- **Company:** BEES
- **Location:** Campinas São Paulo, Brazil
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/bees/jobs/8592622002

## Job description

## 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 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.
- Intermediate English.
- 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 with data 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 with WellHub
- Childcare assistance
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship program*
- School supplies support
- Language learning platforms and training
- Transportation allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev 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, 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](http://www.abinbev.com/)

## About BEES

## Company Overview
- **One-liner**: BEES is a global B2B digital commerce platform that connects retailers, brand owners, and distributors through an AI-powered ecosystem spanning ordering, delivery, payments, and insights.
- **Entity Type**: Private (spin-off from AB InBev, co-created with Ambev)
- **Headquarters**: Rotkreuz, Zug, Switzerland
- **Founded**: 2020 (as a digital-first venture from AB InBev)
- **Founders**: Co-created by AB InBev and Ambev (individual founder names not publicly disclosed)

## Core Business
- **Primary industry**: B2B digital commerce platform; IT Services and IT Consulting (per LinkedIn)
- **Target customers**: Small and medium-sized retailers (B2B), brand owners (fast-moving consumer goods), distributors
- **Mission statement**: Making commerce better for retailers and sellers around the world ([bees.com/about](https://www.bees.com/about?noredirect=1))

## Products & Services
- **BEES Ordering**: AI-personalized shopping experience for retailers, with rewards and recommendations ([bees.com](https://www.bees.com/))
- **BEES Deliver**: Optimizes delivery territories, routes, and on-time execution for distributors
- **BEES.ai**: Intelligence layer that transforms data from every touchpoint into smarter selling, execution, and planning
- **BEES One**: Unified mobile app for retailers covering ordering, rewards, and remote sales support
- **BEES Care**: Customer service solution with agent guidance and fast resolution
- **Integrated Payments**: Flexible checkout options and operational efficiency tools
- **Data Connect**: Delivers datasets directly into client systems for better commercial decisions
- **Frontline Effectiveness Services**: Field performance optimization with AI-powered territory planning
- **Integrated Marketing Campaigns**: Coordinated online/offline marketing during key selling moments

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private entity)
- **Key Metrics**:
  - $15B GMV in Q1 2026 ([bees.com](https://www.bees.com/))
  - 36M orders placed in Q1 2026
  - 500+ sellers on platform
  - 200+ brand partners; $49B in annual orders through platform (2024) ([bees.com/about](https://www.bees.com/about?noredirect=1))
- **Notable Investors / Partners**: AB InBev and Ambev are the founding backers; portfolio includes 500 iconic brands (e.g., Budweiser, Stella Artois)
- **Growth Signals**:
  - Active in 28 countries as of 2024
  - Headcount: 468 employees (+2.3% YoY; +19 people); 32 active job postings (+966.7% YoY)
  - Geographical expansion into Africa, APAC; new HQ in Switzerland; offices in Hong Kong, New York, Brazil ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b))

## Competitive Advantages
- **Built on AB InBev’s expertise**: Decades of sales and distribution know-how embedded in the platform
- **Direct retail network**: Access to 6+ million small and medium retailers worldwide
- **AI-powered ecosystem**: BEES.ai connects all touchpoints (ordering, delivery, payments, service) for a single route-to-market view
- **Multi-product offering**: Tailored solutions for retailers, brand owners, and distributors within one platform

## Strategic Focus
- **Global expansion**: Continuing to enter new markets in Africa and APAC
- **AI-first transformation**: Deploying AI to personalise recommendations, optimise logistics, and improve commercial execution
- **Deepening partner ecosystem**: Onboarding more brand owners and third-party distributors to digitise route-to-market
- **Scaling payments**: Expanding integrated payment solutions to drive operational efficiency

## Why Work Here
- **Culture**: "We dream big, lead with purpose" – values include "We thrive when the customers thrive", "We put the hive first", "We deal in data not hype", "We are drawn to growth", "We buzz with passion" ([builtin.com/company/bees](https://builtin.com/company/bees))
- **Work location**: Onsite-first – physical offices in Zug (Switzerland), New York (USA), São Paulo, Campinas (Brazil), and Hong Kong (China)
- **Perks & benefits**: Health insurance, dental, family medical leave, generous parental leave, performance bonuses, employee discounts, tuition assistance, apprenticeship programs, legal assistance
- **Diversity, Equity & Inclusion**: Offers diversity-based Employee Resource Groups
- **Engineering culture**: 137 technical staff (16% of total 468) across roles in product, analytics, engineering, and data science ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b))
- **Company rating**: 3.3/5 on LinkedIn (641 reviews) – Work-Life 3.2, Compensation 3.5, Culture 3.1, Career 3.2

## Sources
1. [bees.com – Careers](https://www.bees.com/careers)
2. [bees.com – About](https://www.bees.com/about?noredirect=1)
3. [bees.com – Home](https://www.bees.com/)
4. [linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b)
5. [builtin.com/company/bees](https://builtin.com/company/bees)

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