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.
About the Role
We are looking for a Data Engineer to join our Transformation Team, focused on building scalable, reliable, and observable data solutions that support operational excellence and data-driven decision making.
This role goes beyond traditional data engineering, ensuring that our data platform operates with high availability, quality, and resilience.
Key Responsabilities
- Design, build, and maintain scalable data pipelines and data products using modern data platforms
- Develop and optimize ETL/ELT processes ensuring performance, reliability, and cost efficiency
- Implement data observability practices (monitoring, alerting, logging, data quality checks)
- Define and track SLAs/SLOs for data pipelines and datasets
- Actively participate in on-call rotations, supporting critical data pipelines and platform components
- Lead or support incident response, troubleshooting data failures, delays, and inconsistencies
- Perform root cause analysis (RCA) and implement preventive actions to avoid recurrence
- Improve system reliability through automation, resiliency patterns, and failure handling strategies
- Collaborate with Operations and Analytics teams to deliver high-quality datasets and actionable insights
- Ensure data governance standards, including data lineage, documentation, and consistency across systems
- Contribute to the evolution of the data platform architecture and reliability standards
Required Qualifications
- Strong experience with Python and SQL for data processing and transformation
- Experience with modern data platforms (e.g., Databricks, Spark, Delta Lake)
- Solid understanding of data modeling concepts (star schema, normalization, etc.)
- Experience building and orchestrating data pipelines.
- Hands-on experience troubleshooting production data issues
- Understanding of monitoring, alerting, and incident management practices
- Knowledge of cloud environments (Azure preferred)
- Experience with version control (Git) and CI/CD practices
- Strong problem-solving skills in distributed systems environments
Nice to Have
- Experience with Data Observability frameworks.
- Familiarity with monitoring tools (e.g., New Relic or similar)
- Experience with SRE practices (SLIs/SLOs, error budgets, incident postmortems)
- Experience with streaming or near real-time data pipelines
- Exposure to data governance and data quality frameworks
- Experience supporting analytics/reporting environments (Power BI or similar)
What We Value
- Ownership mindset with accountability for production data systems
- Strong sense of urgency and ability to operate during incidents
- Structured problem-solving and analytical thinking
- Clear communication, especially during high-pressure situations
- Continuous improvement mindset (automation, reliability, scalability)
- Ability to balance speed and stability in a transformation environment
Why Join Us
- Work on a modern data platform with real production impact
- Be part of a transformation journey, shaping how data reliability is built and measured
- Exposure to both data engineering and production operations
- Opportunity to define standards for data observability, incident management, and platform resilience
- High ownership and influence on how data supports business operations
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