As a Data Engineer II, you will design scalable data pipelines, manage secure data environments, and prepare data for advanced analytics while collaborating with clients and cross-functional teams. You’ll solve impactful business challenges, contribute to innovative AI projects, and grow as a technologist alongside diverse experts across industries.
In this role, you will architect and build scalable, modular, and reproducible data pipelines for machine learning. You’ll assess data landscapes, ensure data quality, and prepare data for advanced analytics models. You’ll also manage secure data environments and contribute to R&D initiatives and internal asset development to expand your technical expertise.
Your work will address real-world challenges across industries. Partnering with McKinsey’s QuantumBlack and Labs teams, you’ll help create cutting-edge machine learning systems that accelerate AI adoption and solve business problems at scale—enabling clients to achieve meaningful, lasting impact.
You’ll be based in London as part of our global Data Engineering community. You’ll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. Collaborating closely with clients—from data owners to C-level executives—you’ll help solve complex problems that drive business value.
You will be in an exceptional environment to grow as a technologist and collaborator. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges. Working with inspiring, multidisciplinary teams, you’ll gain a holistic understanding of AI while collaborating with some of the best technical and business talent in the world.