Data Engineer II - QuantumBlack, AI by McKinsey

Salary: £80,000 - 90,000 per year

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience
• 2–5+ years of professional experience in building and deploying data solutions
• Strong coding skills in Python, Scala, or Java, with the ability to write clean, maintainable, and scalable code
• Proven experience in building and maintaining production-grade data pipelines for advanced analytics use cases
• Experience working with structured, semi-structured, and unstructured data
• Hands-on expertise in containerization and orchestration using Docker and Kubernetes for scalable production systems
• Familiarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)
• Exposure to DevOps, DataOps, and MLOps concepts and best practices
• Experience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)
• Experience with Generative AI (GenAI) or agentic systems is a strong plus
• Prior client-facing or senior stakeholder management experience is beneficial
• Excellent time management and communication skills (verbal and written), with flexibility to adapt across audiences; willingness to travel as needed

• We design scalable, modular, and reproducible data pipelines for machine learning
• We assess data landscapes, ensure data quality, and prepare data for advanced analytics models
• We manage secure data environments
• We contribute to R&D initiatives and internal asset development to expand our technical expertise
• We partner with clients and cross-functional teams to solve impactful business challenges
• We work with McKinseys QuantumBlack and Labs teams to create machine learning systems that accelerate AI adoption and solve business problems at scale
• We collaborate in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions
• We collaborate closely with clients, from data owners to C-level executives, to help solve complex problems that drive business value

• AI
• Airflow
• AWS
• Azure
• Cloud
• Databricks
• DevOps
• Docker
• GCP
• Support
• Java
• Kubernetes
• Machine Learning
• MLOps
• Python
• PySpark
• SQL
• Scala
• Spark
• numpy
• pandas
• Architect

More:

We are a global firm with colleagues across 65+ countries and over 100 nationalities, and our diversity fuels creativity and helps us deliver the best solutions for our clients. We offer continuous learning and apprenticeship, clear and actionable feedback, opportunities to contribute ideas and make a tangible impact, and world-class benefits including a competitive salary based on your location, experience, and skills plus a comprehensive benefits package to support holistic well-being for you and your family. This Data Engineer II role is based in London within our global Data Engineering community, where you will work with diverse experts across industries and gain exposure to cutting-edge AI projects, multidisciplinary teams, and strong mentorship and development opportunities.

last updated 36 week of 2026