Data Engineer - QuantumBlack, AI by McKinsey

As a Data Engineer in the Paris office, you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts. You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives. You are a highly-collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work. Our values resonate with yours. As a Data Engineer, you will: Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work. Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned. Create and manage data environments and ensure information security standards are maintained at all times. Understand clients data landscape and assess data quality. Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models. Have the opportunity to contribute to R&D projects and internal asset development. Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions.

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