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></p> <p><span style="font-size: 12pt;"><strong>About BEES</strong></span></p> <p>At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.</p> <p></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 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> <li>Python, SQL proficiency</li> <li>Test automatio