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