A senior data engineering role at QuantumBlack (McKinsey's AI arm) in Toronto: architect scalable data solutions for AI systems, manage secure and compliant data environments, lead model optimization, and mentor junior engineers while collaborating with clients on strategic data projects. Core stack includes Python, SQL, MLOps and data governance practices.
Join QuantumBlack, AI by McKinsey as a Senior Data Engineer focusing on architecting transformative AI solutions. Bring your expertise in data engineering and enhance client capabilities. In this senior role, you will design scalable AI data architectures, manage project workflows, and mentor a talented team. Your work will influence the development of AI systems that address critical business challenges, leveraging your strong skills in Python, SQL, and advanced AI tools. You’ll thrive in a global team dedicated to excellence and innovation. Key Responsibilities: • Architect and implement scalable data solutions for AI • Guide junior engineers in best practices and technical skills • Manage secure data environments and maintain compliance • Lead AI feature integration and model optimization efforts • Work collaboratively with clients on strategic data projects Requirements: • Technical degree or equivalent experience • 5+ years in a data engineering role with team leadership • Proficiency in Python, SQL, and AI technologies • Experience with MLOps practices and data governance • Excellent verbal and written communication skills Elevate your career in a collaborative setting where your contributions make a lasting impact.