Lead Data Engineer

Bees; Campinas; On-site; BRL 260,000 - 380,000; Full time

Benefits offered by this job

Performance based bonus

Attendance Bonus

Health, dental, and life insurance

Discounts on Ambev products

Job summary

BEES, AB InBev's B2B e-commerce platform, is seeking a lead data platform engineer to own the data platform strategy and drive scalable Lakehouse and ETL solutions. You will partner with engineering to translate architecture into deliverable data products and services.

The role requires deep experience with Databricks, multi-cloud (Azure/AWS/GCP), MDM, data governance, and large-scale data processing. You will mentor engineers, define standards, and advance production readiness across teams.

Qualifications

• Experience designing large-scale ETL and data platform architectures.
• Advanced English proficiency.
• Strong background with Databricks and Lakehouse concepts.
• Cloud experience across Azure, AWS and/or GCP.
• Knowledge of MDM, data governance, and data modeling.

Responsibilities

• Develop and operationalize the strategic roadmap for the data platform.
• Build and evolve Lakehouse, ETL, streaming, and MDM capabilities.
• Collaborate with engineering to ensure performance, governance, and reliability.
• Identify optimization opportunities and reduce technical debt.

Skills

Advanced English

ETL design

Data platform

Databricks

Cloud platforms

Data governance

Mentoring

CI/CD

Observability

Education

Degree in Computer Science or related fields

Tools

Databricks

Lakehouse

Azure

AWS

GCP

MDM

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.

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:

• 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*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Aff??

ABI GrowthGroup is proud to be an Equal Opportunity and Aff?? 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.

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.