Lead Data Engineer

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.

• →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.

• 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.

• 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.

• 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.

• 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.

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.

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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 and www.abinbev.com