Data Engineer II - QuantumBlack, AI by McKinsey

Overview

As a Data Engineer II at McKinsey, you design scalable data pipelines and secure data environments to enable advanced analytics and ML. You will work with cross-functional teams and clients to turn data into insights, contributing to AI projects and R&D efforts. The role combines technical execution with collaboration across disciplines to deliver impactful data solutions at scale. You join a global, learning-driven practice that values ethics, diverse perspectives, and professional growth.

Pay / Benefits

• competitive salary
• comprehensive benefits package
• world-class benefits
• global, diverse team
• continuous learning and apprenticeship culture

Responsibilities

• Design scalable, modular data pipelines for machine learning and analytics
• Manage secure data environments and ensure data quality for analytics use cases
• Collaborate with clients and cross-functional teams to solve business problems with data
• Architect and build reproducible data processing workflows and ML pipelines
• Contribute to internal assets and R&D initiatives to broaden technical capabilities
• Assess data landscapes and prepare data for advanced analytics models
• Support adoption of AI solutions at scale in client environments

Key requirements

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience
• 2–5+ years of professional data engineering experience
• Strong coding skills in Python, Scala, or Java
• Proven experience building production-grade data pipelines
• Experience with structured, semi-structured, and unstructured data
• Hands-on experience with Docker and Kubernetes
• Familiarity with Spark, Dask, cloud platforms (AWS, Azure, GCP) and analytics libraries (pandas, numpy, matplotlib)
• Exposure to DevOps/DataOps/MLOps concepts
• Experience with Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services
• GenAI or agentic systems experience is a plus
• Client-facing or senior stakeholder management experience beneficial
• Excellent time management and communication; willingness to travel

• Strong communication skills (verbal and written)
• Cross-functional collaboration
• Adaptability and resilience
• Python
• PySpark
• SQL