Senior Manager Data Engineer
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