Data engineers sit at the core of a big data revolution, which brings McKinsey’s rich business acumen and advanced analytics experience into production on a massive scale, both at our clients’ site and internally at the firm as a platform.
For data integration engineers, you’ll own the process of defining, designing and implementing the end-to-end data pipelines including data ingestion, rationalization, transformation, storage and query, in the context of both conventional and big data technologies. You’ll need to apply machine learning algorithms and incorporate advanced analytics models to maximize business value and impact from the data. You’ll also work with front-end engineers to lay down the back-end foundation of our data applications, minding non-functional requirements such as security, reliability and system performance.
For user experience data engineers, you’ll be the creator of an unparalleled mobile and web user interface which is engaging, performant and, above all, value-adding to users of our applications. You’ll need to sympathize with users and bring deep experience in UX/UI design and popular front-end technologies. You should be comfortable creating “imperfect” code for the purpose of testing and have a clear understanding of how something will be used in the real world.
To deliver a self-serve analytical solution to clients, you'll embrace an agile software development environment, develop software which ensures proper data quality controls at all levels and engages clients with clear meaningful outcomes.
Working with McKinsey as part of the China Innovation Hub provides you with rewarding and challenging opportunities, including: a) Shaping the problems as well as the solutions as a thought partner to the business; helping clients to translate big ideas into reality with delivered insights; b) Innovating new tools and techniques in an encouraging environment and applying your understanding of insights in real business settings; and c) Being exposed to an enormous variety of topics across many different industries such as a world-leading bank figuring out how best to carry out customer service across all of its channels, a fast growing internet company trying to retain the best talents, or an Auto OEM reducing lead generation costs.
