Senior Manager Data Engineer

bees; Campinas; On-site; BRL 180,000 - 260,000; Full time

Benefits offered by this job

Health, dental, and life insurance

Meal Allowance

Transport allowance

Private pension plan

Attendance Bonus

Scholarship programs

School materials assurance

Clube Ben partnership

Job summary

BEES is building world-class data platforms to power its safety solutions at scale. The team leads and mentors engineers, designs scalable data pipelines, and partners with customer teams to define the roadmap and architectural direction.

We seek candidates with a strong background in data engineering, cloud computing, and a passion for building reliable systems with a focus on quality and performance. This role emphasizes leadership and collaboration across functions.

Qualifications

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar.
• Advanced English proficiency.
• Experience designing data pipelines for analytics, ML, and real-time processing.
• Ability to optimize data pipelines for performance and reliability.
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Ability to design scalable, reliable data/software architectures.
• Data quality assessment and data lineage concepts.

Responsibilities

• Lead a team of data engineers to deliver world-class safety solutions.
• Partner with customer teams to gather requirements and shape a technology roadmap.
• Recruit, mentor, and grow a top-tier engineering team.
• Develop systems and software to bring safety to BEES at scale.

Skills

Data pipeline design

Cloud platforms

CI/CD and automation

Data quality & profiling

Monitoring & logging

Python

SQL

Advanced English

Leadership

Team building

Education

Degree in Computer Science/Engineering/IS or similar

Tools

Git

CI/CD tooling

Job description

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 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.

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 & Affiantative Action:

ABI Growth Group is proud to be an Equal Opportunity and Affiantative 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, 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