Intermediate Data Engineer

BEES; Campinas; Presencial; BRL 70 000 - 110 000; Tempo integral

Resumo da oferta

BEES is seeking a Data Engineer to support and maintain data pipelines, ensuring data quality and timely delivery for analytics. You will write SQL and Python, build Spark-based workloads, and collaborate with governance, security, and compliance teams to uphold data standards.

The role emphasizes learning, code quality, and cross-team collaboration, with a focus on data trust and operational excellence within a BEES environment.

Qualificações

• Bachelor's degree or equivalent in a data/CS-related field.
• 2 years of experience in data engineering, analytics, or related areas.
• Strong SQL and Python programming skills.
• Understanding of ETL/ELT concepts and data transformations.
• Familiarity with data warehousing concepts and relational DBs.
• Knowledge of Spark or distributed data processing frameworks.
• Experience with version control (Git).
• Basic cloud platform knowledge (AWS/Azure/Google Cloud).
• Awareness of data quality and governance practices.

Responsabilidades

• Develop and maintain data pipelines, ingestion, and transformations.
• Create and optimize SQL queries and Python scripts for data processing.
• Troubleshoot pipeline failures and data quality issues.
• Collaborate on schema mappings, transformation logic, and data validation rules.
• Ensure datasets meet schemas and data contracts.
• Support metadata management, lineage, and documentation.
• Assist in security and compliance considerations for data handling.
• Participate in testing, unit tests, and data quality checks.
• Contribute to monitoring, alerting, and operational support for pipelines.

Conhecimentos

SQL

Python

ETL/ELT

Spark

Databricks

Git

Cloud (AWS/Azure/GCP)

Data governance

Data quality

CI/CD

Formação académica

Bachelor's degree in CS/Engineering/Data Science

Ferramentas

Databricks

dbt

GitHub Actions

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:

• Support the development and maintenance of data pipelines, ingestion processes, and data transformations.
• Create and maintain SQL queries, Python scripts, and Spark-based workloads used for data processing and analytics.
• Assist in troubleshooting pipeline failures, data quality issues, and operational incidents.
• Work with senior engineers to implement schema mappings, transformation logic, and data validation rules.
• Ensure datasets meet expected schemas, data contracts, and quality standards.
• Support metadata management, dataset documentation, and lineage activities.
• Assist in maintaining data classification information according to company standards.
• Help automate repetitive operational and data management tasks to improve efficiency and reliability.
• Contribute to monitoring, alerting, and operational support for data pipelines and workflows.
• Participate in testing activities, including unit tests, transformation validation, and data quality checks.
• Follow established engineering standards, coding practices, and team development patterns.
• Learn and apply security, privacy, and compliance requirements when handling sensitive or regulated data.
• Collaborate with Data Governance, Security, and Compliance teams when required.
• Contribute to continuous improvement initiatives focused on data trust, reliability, and operational excellence.

What you'll need:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or related fields.
• Basic to intermediate English.
• Up to 2 years of experience in Data Engineering, Software Engineering, Data Analytics, or related areas.
• Knowledge of SQL and Python.
• Understanding of ETL/ELT concepts and data transformation processes.
• Familiarity with relational databases and data warehousing concepts.
• Basic knowledge of Spark, Databricks, or distributed data processing frameworks.
• Familiarity with Git and version control workflows.
• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of automation concepts and scripting for operational efficiency.
• Basic understanding of data quality concepts and validation practices.
• Familiarity with data governance principles, including metadata, ownership, stewardship, and documentation.
• Basic knowledge of data classification concepts (Public, Internal, Confidential, Restricted).
• Understanding of data lineage and traceability concepts.
• Awareness of security best practices, including access management, secrets management, and least-privilege principles.
• Strong analytical, problem-solving, and communication skills.
• Willingness to learn new technologies and collaborate across teams.
• Follow company standards for handling sensitive and regulated data.
• Apply data classification requirements when creating or maintaining datasets and pipelines.
• Use approved authentication, authorization, and secrets management mechanisms.
• Avoid exposing sensitive information through logs, exports, testing data, or documentation.
• Support auditability by maintaining documentation, metadata, and lineage information.
• Escalate security, privacy, or compliance concerns when requirements are unclear.
• Follow established governance processes and contribute to improving data trust across the organization.

More about you:

• Demonstrate curiosity and a continuous learning mindset.
• Write clean, readable, and maintainable code.
• Follow coding standards, testing practices, and development workflows.
• Communicate progress, blockers, and technical questions clearly.
• Participate in code reviews and knowledge-sharing activities.
• Take ownership of assigned tasks while escalating risks or uncertainties appropriately.
• Contribute positively to team collaboration and a culture of continuous improvement.
• Experience with Databricks, dbt, or similar technologies.
• Familiarity with CI/CD tools such as GitHub Actions, Azure DevOps
• Familiarity with APIs, JSON, event-driven architectures, or messaging systems.
• Exposure to vulnerability scanning, secret scanning, or secure development practices.
• Understanding of privacy regulations such as LGPD, GDPR, or similar frameworks.

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 plans
• Discounts on medications
• Partnership with WellHub
• Childcare assistance
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship program*
• School supplies support
• Language learning platforms and training
• Transportation allowance

Equal Opportunity & affirmative action statements: AB InBev Growth Group is proud to be an Equal Opportunity and affirmative action employer. We do not discriminate based upon 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.

ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand and ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.