Anheuser-Busch InBev

3 weeks ago

Intermediate Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build and maintain data pipelines, ingestion processes, and transformation logic to power data processing and analytics. Write and optimize SQL queries, Python scripts, and Spark-based workloads, while troubleshooting pipeline failures, data quality issues, and operational incidents. Partner with senior engineers on schema mappings, validation rules, metadata/lineage activities, and data classification. Follow engineering standards and security, privacy, and compliance requirements for sensitive or regulated data.

Location: Campinas

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Support development and maintenance of data pipelines, ingestion processes, and data transformations.
•Create and maintain SQL queries, Python scripts, and Spark-based workloads for data processing and analytics.
•Troubleshoot pipeline failures, data quality issues, and operational incidents.
•Work with senior engineers to implement schema mappings, transformation logic, and data validation rules.
•Contribute to metadata management, dataset documentation, data lineage, monitoring/alerting, and testing (unit tests and data quality checks).

Key Requirements

•Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or related fields.
•Up to 2 years of experience in Data Engineering, Software Engineering, Data Analytics, or related areas.
•Knowledge of SQL and Python, with understanding of ETL/ELT and data transformation processes.
•Basic knowledge of Spark and data processing frameworks (including Databricks) plus relational databases and data warehousing concepts.
•Ability to work with data governance concepts (metadata, ownership, stewardship, documentation), security best practices, and data quality/validation.

Education:Bachelor's

Skills:AnalyticalProblem-solvingCommunicationContinuous learningCollaboration

Languages:English

Tech Stack:SQLPythonSparkDatabricksETLELTRelational databasesData warehousingGitAWSAzureGoogle CloudGitHub ActionsAzure DevOpsDbtJSONCI/CDSecrets managementMetadata managementData lineage

Company Brief

Anheuser-Busch InBev

A global brewer producing, distributing, and marketing beer and other beverages across hundreds of brands, including Budweiser, Stella Artois and Corona. Operates a vast global supply chain and retail network serving consumers worldwide.

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Leuven, Belgium

Founded: 2008

Website LinkedIn

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Anheuser-Busch InBev

3 weeks ago

Intermediate Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Campinas

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Support development and maintenance of data pipelines, ingestion processes, and data transformations.
•Create and maintain SQL queries, Python scripts, and Spark-based workloads for data processing and analytics.
•Troubleshoot pipeline failures, data quality issues, and operational incidents.
•Work with senior engineers to implement schema mappings, transformation logic, and data validation rules.
•Contribute to metadata management, dataset documentation, data lineage, monitoring/alerting, and testing (unit tests and data quality checks).

Key Requirements

•Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or related fields.
•Up to 2 years of experience in Data Engineering, Software Engineering, Data Analytics, or related areas.
•Knowledge of SQL and Python, with understanding of ETL/ELT and data transformation processes.
•Basic knowledge of Spark and data processing frameworks (including Databricks) plus relational databases and data warehousing concepts.
•Ability to work with data governance concepts (metadata, ownership, stewardship, documentation), security best practices, and data quality/validation.

Education:Bachelor's

Skills:AnalyticalProblem-solvingCommunicationContinuous learningCollaboration

Languages:English

Tech Stack:SQLPythonSparkDatabricksETLELTRelational databasesData warehousingGitAWSAzureGoogle CloudGitHub ActionsAzure DevOpsDbtJSONCI/CDSecrets managementMetadata managementData lineage

Company Brief

Anheuser-Busch InBev

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Leuven, Belgium

Founded: 2008

Website LinkedIn