Senior Data Engineer

BEES; Campinas; On-site; BRL 180,000 - 260,000; Full time

Benefits offered by this job

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

Job summary

BEES is seeking a data engineer to drive data services across BEES, designing scalable models and optimizing architecture. You will work on ingestion, processing, and provisioning pipelines, while ensuring data quality and security.

Collaborate with product teams and apply Agile methods to deliver impactful data products. Requirements include a CS/CE/IS degree, advanced English, and hands-on experience with Python, PySpark, SQL, and cloud platforms (AWS/Azure/GC).

Qualifications

• Degree in CS/CE/IS or related field.
• Advanced English proficiency required.
• Experience evaluating data pipelines for latency and throughput.
• Knowledge of cloud platforms (AWS/Azure/GC) and data processing stacks.
• Proficient in Python, PySpark, Scala, and SQL for data processing.
• Familiar with data quality controls and CI/CD practices.
• Ability to design APIs and integrate data with visualization tools.

Responsibilities

• Lead development and maintenance of data services across BEES.
• Design data models and optimize architecture for performance.
• Improve data ingestion, processing, controls, and provisioning.
• Develop APIs for data exchange and support dashboards.
• Apply Agile practices and collaborate with cross-functional teams.

Skills

Advanced English

Analytical thinking

Deadline oriented

Effective communication

Independent worker

Team collaboration

Education

Degree in CS/CE/IS/Systems Development

Tools

AWS

Azure

Google Cloud

Python

PySpark

Scala

SQL

CI/CD

APIs

Data modeling

Job description

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:

• 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.
• Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.
• Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.
• Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).
• Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

What you'll need:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Assess scalability, reliability, security, and compliance implications of data pipeline designs.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis.
• Evaluate data quality processes and controls to ensure accuracy and completeness.
• Apply debugging techniques to identify and resolve cross-module issues.
• Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
• Assess effectiveness of CI/CD principles and practices in automated pipelines.
• Design, develop, and maintain APIs for data exchange between applications.
• Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.
• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;
• Evaluate data pipeline solutions for latency, throughput and accuracy.
• Analyze data requirements and business needs to inform data modeling decisions.
• Understand the principles and assumptions of different machine learning capabilities.
• Integrate data sets with visualization tools to create insightful reports and dashboards

More about you:

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;
• Evaluate data pipeline solutions for latency, throughput and accuracy.
• Analyze data requirements and business needs to inform data modeling decisions.
• Understand the principles and assumptions of different machine learning capabilities.
• Integrate data sets with visualization tools to create insightful reports and dashboards

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 & Aff…

AB InBev Growth Group is proud to be an Equal Opportunity and Aff….

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.