Senior Manager Data Engineer

<p><strong>About us</strong></p> <p>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.</p> <p><strong>About AB InBev Growth Group</strong></p> <p>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.</p> <p>In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.</p> <p>We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.</p> <p><strong>What you'll do:</strong></p> <ul> <li>You will lead a team of data engineers to deliver world-class safety solutions</li> <li>Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team</li> <li>Recruit, encourage, and grow a top-notch engineering team</li> <li>Develop systems and software to bring world class safety to global BEES</li> </ul> <p><strong>What you'll need:</strong></p> <ul> <li>Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;</li> <li>Advanced English;</li> <li>Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.</li> <li>Innovate techniques to optimize data pipeline performance, efficiency, and reliability.</li> <li>Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.</li> <li>Analyze design requirements and constraints to identify optimal solutions for data and software architecture.</li> <li>Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.</li> <li>Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.</li> <li>Implement monitoring and logging architectures for visibility and analysis of system performance and security.</li> <li>Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.</li> </ul> <p><strong>More about you:</strong></p> <ul> <li>Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;</li> <li>Advanced English;</li> <li>Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.</li> <li>Innovate techniques to optimize data pipeline performance, efficiency, and reliability.</li> <li>Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.</li> <li>Analyze design requirements and constraints to identify optimal solutions for data and software architecture.</li> <li>Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.</li> <li>Apply data quality