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:
- You will lead a team of data engineers to deliver world-class safety solutions
- Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team
- Recruit, encourage, and grow a top-notch engineering team
- Develop systems and software to bring world class safety to global BEES
What you'll need:
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
- Advanced English;
- Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
- Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
- Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
- Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
- Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
- Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
- Implement monitoring and logging architectures for visibility and analysis of system performance and security.
- Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.
More about you:
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
- Advanced English;
- Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
- Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
- Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
- Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
- Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
- Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
- Implement monitoring and logging architectures for visibility and analysis of system performance and security.
- Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.
- Python, SQL proficiency
- Test automation and quality engineering
- Version control and Git workflows
- Design patterns and reusable frameworks
- Batch and streaming architectures
- Data modeling (dimensional, Data Vault, semantic layers)
- Enterprise-scale ETL/ELT design
- Metadata and lineage management
Soft Skills:
- Hiring and talent development
- Coaching and mentoring engineers
- Set engineering standards and best practices
- Drive architecture decisions
- Build a culture of engineering excellence
Differentials:
- Significant experience building and operating critical high-scale systems
- Good software engineering methodology: meaningful and deeply rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
- Understand principles and assumptions of different machine learning capabilities.
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
- Experience designing data pipeline architectures for analytics, machine learning, and real-time processing
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
- Python and SQL proficiency
- Experience with data quality assessment, profiling, cleansing, and validation
- Experience implementing monitoring and logging architectures
- Experience analyzing and optimizing CI/CD pipelines
- Knowledge of test automation and quality engineering
- Experience with version control and Git workflows
- Knowledge of batch and streaming architectures
- Knowledge of data modeling, including dimensional models, Data Vault, and semantic layers
- Experience with enterprise-scale ETL/ELT design
- Knowledge of metadata and data lineage management
- Experience hiring, coaching, mentoring, and developing engineers
- Significant experience building and operating critical high-scale systems
- Understanding of machine learning capabilities and principles
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).
