Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 206d ago
The date the source published, not the day we noticed it (2026-02-20). Last seen at its source 3h ago.
Is it remote?
Remote, Brazil
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $95.9k–157.1k/yr
Middle 50% of 8 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 12d ago · last seen 3h ago
The listing
About AB InBev
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 ABI 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.
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.
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
- 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.
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