Intermediate Data Engineer

AB InBev | Growth GroupBrazil, Remote3 hours ago

Brazil

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: <ul> <li data-start="1260" data-end="1353">Implement ETL/ELT solutions and data integration between multiple systems and data sources.</li> <li data-start="1356" data-end="1457">Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.</li> <li data-start="1460" data-end="1530">Collaborate with other teams to ensure data security and compliance.</li> <li data-start="1533" data-end="1645">Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.</li> </ul>  What you'll need: <ul> <li data-start="1687" data-end="1816">Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;</li> <li data-start="1819" data-end="1842">Intermediate English;</li> <li data-start="1845" data-end="1965">Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.</li> <li data-start="1968" data-end="2070">Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.</li> <li data-start="2073" data-end="2191">Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.</li> <li data-start="2194" data-end="2301">Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.</li> <li data-start="2304" data-end="2426">Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.</li> <li data-start="2429" data-end="2592">Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.</li> <li data-start="2595" data-end="2674">Understand and apply software design principles to data engineering projects.</li> <li data-start="2677" data-end="2755">Apply data modeling techniques to design efficient and scalable data models.</li> <li data-start="2758" data-end="2868">Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.</li> <li data-start="2871" data-end="2945">Use data tools for ingestion, transformation, analysis, and visualization.</li> </ul> More about you: <ul> <li data-start="2967" data-end="3009">Logical reasoning and analytical skills;</li> <li data-start="3012" data-end="3060">Meeting deadlines and delivering quality work;</li> <li data-start="3063" data-end="3136">Effective and transparent communication with other teams and coworkers;</li> <li data-start="3139" data-end="3235">Communication and interpersonal skills to present and discuss cases with other involved areas;</li> <li data-start="3238" data-end="3267">Autonomy in performing tasks;</li> <li data-start="3290" data-end="3357">Develop and maintain APIs for data exchange between applications.</li> <li data-start="3360" data-end="3450">Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.</li> <li data-start="3453" data-end="3541">Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.</li> </ul> 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: <a class="" href="http://www.abinbev.com" target="_new" data-start="4774" data-end="4815">www.abinbev.com</a>

View all remote jobs at AB InBev | Growth Group →

FAQ

Is the Intermediate Data Engineer position at AB InBev | Growth Group remote?: Yes. This role was posted on Remote Frontend Jobs, a job board that lists exclusively fully remote positions.
When was this Intermediate Data Engineer job posted?: This listing was posted on September 4, 2026 and is still open for applications.
How do I apply for the Intermediate Data Engineer position at AB InBev | Growth Group?: Use the apply button on this page — it takes you directly to the employer’s application page.