IT & Software

Data Engineer II - QuantumBlack, AI by McKinsey

McKinsey & Company

London · Greater London · United Kingdom

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

Reference: WJ-747_30174748

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