---
title: 'Lead Data Engineer at BEES'
canonical: 'https://feeny.ai/job/lead-data-engineer-bees-campinas-sao-paulo-9pa8p6drjapx'
type: 'job'
last_seen: '2026-10-17'
---

# Lead Data Engineer at BEES

- **Company:** BEES
- **Location:** Campinas São Paulo, Brazil
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/bees/jobs/8868124002

## 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

Join us to build the future of B2B commerce!

BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.

Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!

What you'll do:

- Develop, implement, and operationalize the strategic roadmap for the data platform, translating long-term architectural vision into executable initiatives and measurable outcomes;
- Build and evolve Lakehouse, ETL, streaming, and MDM capabilities, lead modernization programs, and drive the delivery of scalable data products and platform services;
- Work closely with engineering teams throughout design, development, testing, deployment, and production support to ensure platform solutions meet performance, reliability, governance, and business requirements;
- Identify opportunities for platform optimization, reduce technical debt, and accelerate the adoption of modern data engineering practices across the organization.

What you'll need:

- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis, or related fields;
- Advanced English;
- Strong experience designing and implementing large-scale ETL and data platform architectures;
- Extensive experience with Databricks and modern Lakehouse architectures;
- Strong cloud experience with Azure, AWS, and/or Google Cloud Platform;
- Experience with Master Data Management (MDM), entity resolution, matching and survivorship strategies, and data governance principles;
- Deep understanding of data modeling, distributed data processing, orchestration frameworks, and data platform scalability;
- Experience designing data contracts, schema evolution strategies, and reusable data platform components;
- Strong software engineering fundamentals, including testing, CI/CD, code quality, observability, and operational excellence;
- Experience establishing data quality frameworks, validation layers, reconciliation processes, and reliability standards;
- Knowledge of streaming architectures, event-driven systems, and modern data integration patterns;
- Proven experience mentoring engineers and providing technical leadership across multiple teams;
- Ability to evaluate architectural trade-offs, identify long-term risks, and design solutions aligned with business growth objectives;
- Experience working in highly scalable and mission-critical environments.

More about you:

- Serve as the primary technical reference for Data Engineering and Data Platform initiatives;
- Mentor and develop engineers through technical coaching, architecture reviews, and best practice guidance;
- Define engineering standards and ensure consistency across teams and domains;
- Establish expectations for production readiness, code reviews, testing, reliability, and maintainability;
- Foster a culture of technical excellence, ownership, continuous improvement, and collaboration;
- Drive alignment between engineering teams on architecture, platform standards, and long-term technical direction;
- Balance strategic thinking with hands-on execution, actively contributing to critical implementations when needed.

Soft Skills:

- Strong analytical thinking and problem-solving skills;
- Excellent communication and stakeholder management abilities;
- Ability to influence technical decisions across teams and organizational levels;
- Collaborative leadership style with a mentorship mindset;
- Strong sense of ownership and accountability;
- Ability to navigate ambiguity and make sound engineering decisions;
- Results-oriented mindset with focus on scalability, quality, and business impact.

Differentials:

- Experience leading enterprise-scale Data Engineering and MDM transformation initiatives;
- Experience defining multi-year technology roadmaps and platform modernization strategies;
- Hands-on experience transitioning architectures from batch processing to streaming solutions;
- Experience with multi-region, multi-brand, or highly regulated data environments;
- Strong understanding of data product architecture and domain-oriented data design principles;
- Experience influencing executive stakeholders and driving strategic technology decisions;
- Significant experience building and operating business-critical, high-scale data platforms;
- Deep understanding of software engineering best practices and engineering excellence at scale.

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](http://www.bees.com) and [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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