Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in Brazil.
This role is a senior technical leadership position focused on designing and delivering scalable, high-performance data solutions for complex, data-driven environments. You will lead the development of robust data pipelines, ensuring reliable ingestion, transformation, and availability of data across enterprise systems. The position requires strong hands-on expertise in PySpark, SQL, and cloud-based data platforms, combined with the ability to collaborate across engineering, analytics, and product teams. You will play a key role in translating business requirements into scalable data architectures that support advanced analytics and machine learning initiatives. The environment is fast-paced, international, and highly collaborative, with a strong emphasis on ownership, quality, and continuous improvement. This is an opportunity to influence data strategy while remaining deeply technical and execution-focused.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in Brazil.
This role is a senior technical leadership position focused on designing and delivering scalable, high-performance data solutions for complex, data-driven environments. You will lead the development of robust data pipelines, ensuring reliable ingestion, transformation, and availability of data across enterprise systems. The position requires strong hands-on expertise in PySpark, SQL, and cloud-based data platforms, combined with the ability to collaborate across engineering, analytics, and product teams. You will play a key role in translating business requirements into scalable data architectures that support advanced analytics and machine learning initiatives. The environment is fast-paced, international, and highly collaborative, with a strong emphasis on ownership, quality, and continuous improvement. This is an opportunity to influence data strategy while remaining deeply technical and execution-focused.
