Intermediate Data Engineer
WFA Digital Insight
The BEES cell inside AB InBev’s Growth Group is looking for a mid‑level data engineer who will own the end‑to‑end flow of data that fuels the company’s digital products. Unlike a generic data‑engineering vacancy, this role sits at the intersection of B2B, DTC and internal marketing streams, meaning the pipelines you build will touch everything from sales forecasting to consumer insights. The team expects you to design robust ETL/ELT processes, keep data secure across multiple cloud platforms, and continuously optimise performance for large‑scale workloads. You’ll be collaborating with product, analytics and compliance squads, so a solid grasp of version‑controlled code, automated testing and clear documentation is essential before you even write your first line of PySpark.
Job Description
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:
- Implement ETL/ELT solutions and data integration between multiple systems and data sources.
- Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
- Collaborate with other teams to ensure data security and compliance.
- Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.
What you'll need:
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
- Intermediate English;
- Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
- Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
- Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
- Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.
- Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.
- Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.
- Understand and apply software design principles to data engineering projects.
- Apply data modeling techniques to design efficient and scalable data models.
- Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.
- Use data tools for ingestion, transformation, analysis, and visualization.
More about you:
- Logical reasoning and analytical skills;
- Meeting deadlines and delivering quality work;
- Effective and transparent communication with other teams and coworkers;
- Communication and interpersonal skills to present and discuss cases with other involved areas;
- Autonomy in performing tasks;
- Develop and maintain APIs for data exchange between applications.
- Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.
- Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.
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 plans
• Discounts on medications
• Partnership with WellHub
• Childcare assistance
• Discounts on Ambev products
• Clube Ben partnership
• Scholarship program
• School supplies support
• Language learning platforms and training
• Transportation 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 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
How to Stand Out
- Showcase a GitHub repo or portfolio that includes a complete Python/PySpark data pipeline with documentation and tests.
- Highlight any cloud certifications (AWS, Azure, GCP) and describe how you used specific services in past projects.
- Be prepared to discuss a time you optimized a slow pipeline, focusing on the metrics you improved.
- Practice explaining data‑governance concepts in plain language, as compliance collaboration is part of the role.
- During interviews, ask about the team’s CI/CD setup and how they handle production incident response.
- If offered, negotiate for a professional development budget to keep your skills current with emerging data tools.
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