Senior Manager Data Engineer

Bees; Campinas; Presencial; BRL 180 000 - 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance bonus

Attendance bonus

Casual office and dress code

Health insurance

Discounts on ABInBev products

Resumo da oferta

BEES is seeking a senior data engineering leader to guide a team delivering safety-focused data systems and real-time analytics. You will partner with customer teams to shape the technology roadmap and recruit top talent, building scalable architectures across AWS, Azure, and GCP.

This role emphasizes hands-on design, data quality, CI/CD discipline, and mentoring engineers to excel in a fast-paced, high-scale environment. Strong English and advanced data skills are essential.

Qualificações

• Degree in Computer Science, Computer Engineering, Information Systems, or similar.
• Advanced English proficiency.
• Design and develop data pipelines for analytics, ML, and real-time data processing.
• Optimize data pipelines for performance, efficiency, and reliability.
• Experience with cloud platforms: AWS, Azure, GCP.
• Understand design requirements to craft scalable, reliable architectures.
• Apply data quality methods to detect and fix issues.
• Implement monitoring and logging for performance and security.
• Review CI/CD configurations for optimization.

Responsabilidades

• Lead a team of data engineers to deliver safety-focused solutions.
• Partner with customer teams to gather requirements and drive a tech roadmap.
• Recruit and grow a top-tier engineering team.
• Develop systems to bring world-class safety to BEES' platforms.

Conhecimentos

Data pipelines

Team leadership

Cloud computing

Architecture design

CI/CD

Monitoring

Formação académica

Bachelor in CS/Engineering

Ferramentas

AWS

Azure

GCP

Git

Descrição da oferta de emprego

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.

About BEES

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.

What you'll do:

• You will lead a team of data engineers to deliver world-class safety solutions
• Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team
• Recruit, encourage, and grow a top-notch engineering team
• Develop systems and software to bring world class safety to global BEES

What you'll need:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
• Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
• Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
• Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
• Implement monitoring and logging architectures for visibility and analysis of system performance and security.
• Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.

More about you:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
• Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
• Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
• Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
• Implement monitoring and logging architectures for visibility and analysis of system performance and security.
• Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.
• Test automation and quality engineering
• Version control and Git workflows
• Design patterns and reusable frameworks
• Batch and streaming architectures
• Metadata and lineage management

Soft Skills:

• Hiring and talent development
• Coaching and mentoring engineers
• Set engineering standards and best practices
• Build a culture of engineering excellence

Differentials:

• Significant experience building and operating critical high-scale systems
• Good software engineering methodology: meaningful and deeply rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
• Understand principles and assumptions of different machine learning capabilities.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Affi…

ABI GrowthGroup is proud to be an Equal Opportunity and Affi… "We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.