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:
- 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:
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
Skills Required
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis, or a related field
- Advanced English proficiency
- 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, entity resolution, matching, survivorship strategies, and data governance
- 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
- 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
- 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 Do
We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago. We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol. Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).
