




Job Summary: We are seeking a Senior Data Engineer with a Machine Learning focus for a strategic project at a financial institution, centered on the migration, integration, and standardization of repositories and pipelines. Key Highlights: 1. Strategic project at a financial institution 2. Participation in ML data migration and integration 3. Collaboration with technical teams and stakeholders Senior Data Engineer with Machine Learning Focus · Work Mode: Hybrid Candidates from across Argentina are welcome Working Hours: 9 AM to 6 PM About the Role We are looking for a Senior Data Engineer with a Machine Learning focus to join a strategic project within a major financial institution. The role targets technically skilled professionals with experience in data engineering and Machine Learning, participating in migration, integration, and standardization of repositories and pipelines within the Bank's global technology ecosystem. Responsibilities Migrate ML repositories from GitLab to GitHub Adapt pipelines to corporate standards Integrate repositories into the Group's global ecosystem Validate model and dataset migrations Collaborate with technical teams and stakeholders Ensure quality, traceability, and sound technical practices Mandatory Requirements Machine Learning experience Python and PySpark development SQL proficiency (Hive / Spark SQL) Git and GitHub experience AWS experience Use of Generative AI tools (Copilot, Cursor, etc.) Data Science knowledge Preferred Qualifications Experience migrating repositories or pipelines GCP knowledge Autonomous, hands-on profile Experience in complex or regulated environments. -Requirements- Minimum Education: University degree years of experience Keywords: data, datos, engineer, engineers, ingeniero, ingeniera, ing, senior, sr, learning, aprendizaje
