Senior Data Engineer

About AB InBev

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 ABI 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.

What you'll do:

• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.
• Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.
• Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.
• Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).
• Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

What you'll need:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Assess scalability, reliability, security, and compliance implications of data pipeline designs.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis.
• Evaluate data quality processes and controls to ensure accuracy and completeness.
• Apply debugging techniques to identify and resolve cross-module issues.
• Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
• Assess effectiveness of CI/CD principles and practices in automated pipelines.
• Design, develop, and maintain APIs for data exchange between applications.
• Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.

More about you

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;
• Evaluate data pipeline solutions for latency, throughput and accuracy.
• Analyze data requirements and business needs to inform data modeling decisions.
• Understand the principles and assumptions of different machine learning capabilities.
• Integrate data sets with visualization tools to create insightful reports and dashboards
• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team.

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 

• Showcase concrete examples of data pipelines you built, highlighting tools (Python, PySpark, AWS) and performance improvements.
• Prepare a short case study that explains how you translated a business requirement into a data model and API.
• Emphasise any experience with CI/CD for data engineering; include pipeline scripts or GitHub links in your portfolio.
• Demonstrate strong communication skills in your cover letter—explain complex technical concepts in plain language.
• Research AB InBev’s Growth Group and BEES cell to reference specific projects or technologies during the interview.
• Be ready to discuss how you ensure data quality and compliance in cloud environments.
• Ask about the team’s Agile cadence and remote collaboration tools to show you’re proactive about integration.