Senior Data Engineer | BEES Personalization

Posted 16 Hours Ago
Be an Early Applicant
Remote, OR
Senior level
Food
The Role
The Senior Data Engineer will lead the development and maintenance of data services and solutions for BEES. Responsibilities include designing data models, improving system architecture, developing data processing pipelines, and creating data products to meet operational needs. The role also involves monitoring and ensuring the accuracy of data quality processes.
Summary Generated by Built In


Technical

  • Department: Engineering - Data
  • Level: Senior
  • Hiring model: CLT
  • Local de trabalho: Remoto


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

About ABI Growth Group

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.

About BEES

As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, as a company. To achieve this, we use technology to create digital solutions that simplify our customers' lives, make their decisions smarter and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.

Responsibilities:

  • 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.


Requirements and qualifications:

  • 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.


Soft Skills:

  • 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;


Differentials:

  • 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* 
  • Private pension plan
  • Meal Allowance
  • Casual office and dress code
  • Days off*
  • Health, dental, and life insurance
  • Medicines discounts
  • WellHub partnership
  • Childcare subsidies
  • Discounts on Ambev products*
  • Clube Ben partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. 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.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 


Top Skills

Pyspark
Python
Scala
SQL
The Company
HQ: Leuven
171,193 Employees
On-site Workplace

What We Do

We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago.

We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow.

We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come.

Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol.

Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).

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