AB InBev
10,000+ employees
👥 B2C
🛍️ eCommerce
B2C • eCommerce • Food & Beverage
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
Senior Data Engineer – Personalization
🕒 February 20
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
AB InBev
10,000+ employees
👥 B2C
🛍️ eCommerce
B2C • eCommerce • Food & Beverage
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
📋 Description
• 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.
🎯 Requirements
• 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.
🏖️ Benefits
• 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
Apply Now
