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Data Engineer - eCommerce

BeesRemote; United StatesFull-time$90k - $230k*Sep 8, 2022

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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: North America, Latin America, Europe, Asia, and Africa.

About BEES

BEES is an e-commerce and SaaS company, created by AB InBev, on a mission to transform the traditional sales model by putting customers at its heart. Whether you are a small to medium sized retailer or a supplying partner, BEES provides you with the tools, data, and insights you need to help your business thrive.  

Today, more than 2 million+ retailers across 10+ countries use BEES every month to browse for products, place orders, earn rewards, arrange deliveries, manage invoices, and access business insights all from one place.  

 Learn more on how BEES keeps business buzzing at

Our team is in search of a Data Engineer to be a leader in our Global Revenue Management & Commercial organization and help build, and maintain our data engineering infrastructure geared towards solving business problems and provide commercial value for ABI. This position reports directly to the Global Director of eCommerce Data Engineering and can sit remotely anywhere in the United States. 

About the Team 

We’re rethinking the way AB InBev does business with its retail customers and creating digital experiences to serve them. You will be joining a new digital organization within AB InBev consisting of digital strategy, product, design, analytics, operations and engineering. This organization is responsible for building the products and platforms that transform our traditional sales operations across the world. 

About the Job  

The Data Engineer will create, oversee and maintain commercial and external data pipelines working closely with our commercial, product and technology leads to standardize our commercial and external data. This person should have experience building data integrations to sales and ERP systems such as SAP, maintaining centralized data warehouses and data dictionaries for multiple commercial stakeholders. 

Main stakeholders will include sales functions (commercial reporting, promo analytics, and sales algorithms) and customer data product leadership.  

You Will 

About You  

Our Technology 

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