Senior Data Engineer
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
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.
BEES's standard text
About BEES
Join us to build the future of B2B commerce!
BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.
Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!
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
BEES's standard text
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
What this role asks for
Particular to this role
Machine Learning · Scala
Rare in BEES's other 46 open postings.
Standard for data engineering roles
AWS · Azure · CI/CD · GCP · Python · SQL · Spark
Common in data engineering postings at any company.
81% of this description is written for the role. The rest is BEES's standard text, folded away below.
Read against BEES's other open postings on this site.
The team: BEES Data Engineering & One HIRES STEADILY
This role is one of 19 open in BEES Data Engineering & One. 5 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Azure (16 of 19), Python (15 of 19), CI/CD (14 of 19), SQL (12 of 19), Databricks (9 of 19), Spark (8 of 19), AWS (7 of 19)
OTHER ROLES ON THIS TEAM
- Lead Data Engineer posted Oct 7
- AI Engineer posted Oct 5
- Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization posted Oct 2
- Staff Software Architect - Data Intensive Web-Applications - Personalization posted Oct 2
- Senior Data Scientist - Generative AI posted Sep 28
- Intermediate Java Developer posted Sep 14
- Intermediate Data Engineer posted Sep 10
- Senior Manager Data Engineer posted Sep 10
- Intermediate Data Scientist - Bees Data posted Aug 31
- Mid Level Java Developer posted Aug 21
- Mid Level Machine Learning Engineer posted Aug 7
- Senior Machine Learning Engineer posted Aug 7
- Mid Level Data Analyst posted Aug 7
- Senior Data Analyst posted Aug 7
- Senior Data Engineer posted Jul 29
- Intermediate Data Analyst posted Jul 28
- Senior Data Analyst posted Jul 21
- Intermediate Data Engineer posted Jan 19
From the team and dates on BEES's own job board.
Other openings for this role
2 open postings for this role in Campinas, São Paulo, Brazil, first posted 3 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.
- 7 October 2026 – open
- 3 October 2026 – open (this posting)
Salary context
101 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 200,000 a year.
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