
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.
10,000+ employees
đĽ B2C
đď¸ eCommerce
April 26

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.
10,000+ employees
đĽ B2C
đď¸ eCommerce
â˘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. â˘Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling. â˘Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products. â˘Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others). â˘Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.
â˘Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar; â˘Advanced English; â˘Assess scalability, reliability, security, and compliance implications of data pipeline designs. â˘Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud. â˘Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis. â˘Evaluate data quality processes and controls to ensure accuracy and completeness. â˘Apply debugging techniques to identify and resolve cross-module issues. â˘Implement monitoring, alerting, and failure handling mechanisms in architecture designs. â˘Assess effectiveness of CI/CD principles and practices in automated pipelines. â˘Design, develop, and maintain APIs for data exchange between applications. â˘Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.
â˘Performance based bonus* â˘Attendance Bonus* â˘Private pension plan â˘Meal Allowance â˘Casual office and dress code â˘Days off* â˘Health, dental, and life insurance â˘Medicines discounts â˘WellHub partnership â˘Childcare subsidies â˘Discounts on Ambev products* â˘Clube Ben partnership â˘Scholarship* â˘School materials assurance â˘Language and training platforms â˘Transport allowance
Apply NowApril 26
Senior Data Engineer role with a focus on Big Data in the telecommunications sector. This position is fully remote with extensive technical requirements.
đŁď¸đ§đˇđľđš Portuguese Required
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Join Econodata to create data pipelines and automate processes for a leading Big Data startup.
đ§đˇ Brazil â Remote
đ° Pre Seed Round on 2013-09
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đŁď¸đ§đˇđľđš Portuguese Required