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 Data Engineer (Mid/Senior Level) based in Brazil.
This is a highly technical and impact-driven data engineering role within an AI and data science environment, focused on building scalable, reliable, and production-grade data platforms. You will be responsible for designing and evolving modern data architectures that power analytics, machine learning, and real-time applications. The role involves working across data lakes, data warehouses, and feature stores, ensuring data quality, governance, and performance at scale. You will collaborate closely with data scientists and ML engineers to enable end-to-end machine learning pipelines and intelligent systems. In addition, you will contribute to event-driven architectures and cloud-native solutions across AWS and Azure environments. This is a great opportunity for engineers who enjoy solving complex data challenges and turning large-scale data into strategic business value.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Mid/Senior Level) based in Brazil.
This is a highly technical and impact-driven data engineering role within an AI and data science environment, focused on building scalable, reliable, and production-grade data platforms. You will be responsible for designing and evolving modern data architectures that power analytics, machine learning, and real-time applications. The role involves working across data lakes, data warehouses, and feature stores, ensuring data quality, governance, and performance at scale. You will collaborate closely with data scientists and ML engineers to enable end-to-end machine learning pipelines and intelligent systems. In addition, you will contribute to event-driven architectures and cloud-native solutions across AWS and Azure environments. This is a great opportunity for engineers who enjoy solving complex data challenges and turning large-scale data into strategic business value.