Data Engineer Manager

📋 Description

• Lead, mentor, and develop a team of Data Engineers focused on data and ML infrastructure.
• Define and implement technical approaches for scalable cloud-based MLOps.
• Establish the engineering foundation to support ML models from development to production.
• Oversee data pipelines, ML infrastructure, deployment, monitoring, automation, and CI/CD.
• Collaborate with Data Science leadership to move models into production efficiently.
• Define standards, best practices, and reusable patterns for ML and data engineering.

🎯 Requirements

• Significant professional experience in Data Engineering.
• Strong hands-on experience with cloud MLOps.
• Proven experience leading and mentoring Data Engineering teams.
• Understanding of cloud data architecture and ML infrastructure.
• Experience designing production-grade MLOps practices.
• Understanding of model deployment, monitoring, versioning, automation, and ML lifecycle management.

🎁 Benefits

• Learning opportunities with certifications in AWS, Databricks, and Snowflake, plus AI learning
• Access to Udemy Business for technical and soft skills development.
• English language training and mentorship programs for career development.
• Company-provided equipment and flexible working options.