BE
BEESSenior Data Engineer
LocationCampinas, Brazil, Campinas, São Paulo, Brazil
Typefull-time
SenioritySenior
DepartmentBEES Data Engineering & One
Company size46+ people
PostedJul 29, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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 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
Equal Opportunity & Affirmative Action
Skills
Python
PySpark
Scala
SQL
AWS
Azure
Google Cloud
Benefits
Bonus
Pension
Meal allowance
Health insurance
Dental insurance
Life insurance
Wellness program
Tuition reimbursement
Childcare subsidies
Product discounts
Transit subsidy
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:
•
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.
•
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
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
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