Master Data Engineer

Role Overview

• Lead technical initiatives for large-scale data modernization and migration.
• Define data architectures using Databricks Lakehouse and Microsoft Azure.
• Assess legacy environments and determine the best strategy for migrating, refactoring, or decommissioning workloads.
• Design modern data pipelines, ETL/ELT processes, and orchestration strategies.
• Establish architecture, quality, governance standards, and engineering best practices.
• Ensure data quality and consistency throughout the migration process.
• Collaborate with architects, Data Engineers, Databricks specialists, and client teams to deliver high-quality outcomes.
• Act as the project’s technical reference, supporting architectural decisions and mentoring other engineers.
• Contribute to automation initiatives and the use of Artificial Intelligence to accelerate migration processes.

Requirements

• Strong experience as a Senior Data Engineer, Data Architect, or in technical leadership roles within Data Engineering.
• Deep knowledge of SQL Server, including T-SQL, SSIS, stored procedures, SQL Agent jobs, and legacy environments.
• Hands-on experience with Databricks, Apache Spark, Delta Lake, and Lakehouse architectures.
• Experience with Microsoft Azure (ADLS Gen2, Azure SQL, AKS, and related services).
• Proven experience in migration, modernization, or data platform transformation projects.
• Knowledge of data modeling, ETL/ELT pipelines, and orchestration of workflows.
• Ability to make architectural decisions and act as a technical reference for multidisciplinary teams.
• Excellent communication skills for interacting with clients and global teams.
• Advanced English.
• Experience with Apache Airflow or Databricks Workflows is a plus.
• Experience migrating large-scale SSIS environments.
• Knowledge of Oracle, PySpark, Sqoop, or Hadoop ecosystems.
• Experience with automated migration tools and AI applied to code conversion.
• Databricks, Azure, or related Data Engineering certifications.

Tech Stack

• Airflow
• Apache
• Azure
• ETL
• Hadoop
• Oracle
• PySpark
• Spark
• SQL
• SSIS

Benefits

• Health and dental insurance;
• Food and meal allowance;
• Childcare assistance;
• Extended parental leave;
• Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) / TotalPass;
• Profit Sharing (PLR);
• Life insurance;
• Continuous learning platform (CI&T University);
• Discount club;
• Free online platform dedicated to physical and mental health and wellbeing;
• Pregnancy and responsible parenting course;
• Partnerships with online course platforms;
• Language learning platform;
• And many more