Senior Data Engineer

Role overview Build and operate scalable data pipelines that support analytics and data-driven products. The role combines hands-on engineering with technical leadership: you will improve data workflows and architecture while helping teammates deliver reliable solutions.

Responsibilities - Develop, schedule, and monitor data pipelines and workflows using Apache Airflow. - Improve ETL processes for performance, reliability, and scale. - Work with analysts, data scientists, and engineers to deliver dependable data. - Maintain data architecture, integrity, and security; troubleshoot failures and bottlenecks. - Document architectural decisions and implementation guidance. - Coach teammates through technical guidance, pairing, design reviews, and knowledge sharing.

Requirements - Degree in computer science, statistics, engineering, economics, or a related field. - Hands-on experience with Apache Airflow and data pipeline development. - Strong problem-solving skills and the ability to investigate complex technical issues. - Effective communication and collaboration across teams. - Ability to balance technical delivery with mentoring and team enablement. - Advanced, fluent, or native Portuguese and fluent English.

Benefits and work setup The role supports working from home or another location, with coworking access available. Benefits include meal and transportation allowances, gym access, life, health, and dental insurance, and regular team learning and social gatherings. Semiannual performance reviews may provide opportunities for promotion.