Data Engineer Manager

📋 Description

• Lead the technical design, implementation, and evolution of scalable data architectures and
• Design, develop, and maintain high-performance, resilient data pipelines and ETL/ELT processes
• Define architecture standards and best practices for Data Lake, Data Warehouse, and Lakehouse
• Work with different teams to ensure data integrity, quality, security, availability, and
• Implement Data Quality, observability, and reliability practices across data pipelines and
• Develop and evolve CI/CD pipelines and engineering practices for data processing and ETL/ELT

🎯 Requirements

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong professional experience in Data Engineering, ideally within complex, large-scale
• Experience acting as a technical reference, contributing to architectural decisions and supporting
• Advanced knowledge of SQL, Python, and Spark.
• Experience developing data solutions for Machine Learning, Generative AI, or agent-based systems.
• Experience working with modern data stacks in cloud environments.

🎁 Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and
• Profit Sharing and Results (PLR).