McKinsey & Company
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Data Engineer: Scalable Analytics & ML Pipelines
McKinsey & Company is seeking a data engineer for Periscope By McKinsey to design secure, scalable data pipelines enabling advanced analytics and machine learning for clients. You will collaborate with a global team of…
Data Engineer - Periscope
Who You'll Work With Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things,…
Data Engineer - QuantumBlack, AI by McKinsey
Builds foundational data infrastructure for AI applications at scale: designing scalable data pipelines, secure data environments, and AI-ready datasets. Works with Python, SQL, data platforms (Databricks, Snowflake, BigQuery) and cloud (AWS/Azure/GCP) within McKinsey's QuantumBlack AI practice.
Data Engineer - QuantumBlack, AI by McKinsey
Build foundational data infrastructure and scalable pipelines powering AI/ML systems at QuantumBlack, McKinsey's AI arm, working with data scientists and clients on production-ready solutions and generative AI R&D. Core stack: Python, SQL, Databricks/Snowflake/BigQuery, Spark/dbt, MLOps tooling, and AWS/Azure/GCP.