Senior Data Engineer (Azure)

Location: Brazil; fully remote

Company

CI&T is a technology transformation company helping large enterprises apply AI, modernize applications, and build data-driven technology solutions.

What you will do

• Design, develop, and maintain scalable ETL/ELT, data integration, and orchestration pipelines in Azure.
• Build and optimize Data Lake and Data Warehouse solutions for analytics and business intelligence.
• Create dimensional data models using Star Schema and SCD Type 1 and Type 2 strategies.
• Develop Python-based integrations and automations, including REST API consumption, data transformation, and Parquet generation.
• Implement data quality validation, monitoring, cleansing, governance, lineage, cataloging, and access-control practices.
• Support CI/CD, performance optimization, FinOps initiatives, and collaboration with international stakeholders, analysts, data scientists, and engineering teams.

Requirements

• Must be based in Brazil; remote work.
• Advanced or fluent English at C1 level or higher.
• Strong experience with Azure services, including Azure Data Factory, ADLS Gen2, Azure SQL Database, Azure Functions, Azure Key Vault, and Azure Logic Apps.
• Advanced SQL/T-SQL knowledge, including CTEs, window functions, MERGE statements, stored procedures, change detection, and incremental loading.
• Strong Python experience for data transformation, REST API integrations, JSON processing, Parquet generation, and error-handling and retry patterns.
• Experience with data lakes, data warehouses, dimensional modeling, data quality, Git, CI/CD, and data governance principles.

Nice to have

• Apache Spark or PySpark experience.
• Azure DevOps or GitHub Actions experience for DataOps and CI/CD.
• Experience with modern cloud-based data stacks, FinOps, multi-entity or multi-source enterprise data environments, and data catalog or lineage tools.

Culture & Benefits

• Work on challenging projects in large-scale enterprise data environments.
• Use modern Azure data technologies and cloud-native architectures.
• Collaborate with multicultural and international teams.
• Access continuous learning, technical growth, and participation in strategic data transformation initiatives.
• Company benefits are available for the Brazil employment arrangement.

Hiring process

• Complete and present an assessment during the selection process.
• Support is available for obtaining the assessment if needed.