Data Engineer: Build Scalable AI Pipelines & ML Systems
Summary
Data engineer at QuantumBlack (McKinsey's AI arm) who designs scalable data pipelines and secure data environments that power AI applications, collaborating with cross-functional teams and clients. Core stack includes Python, SQL, Databricks/Snowflake/BigQuery, cloud platforms, and MLOps practices.
QuantumBlack, AI by McKinsey in Copenhagen or Stockholm is seeking a data engineering-focused professional to build foundational data infrastructure powering AI applications. You will design scalable data pipelines, manage secure data environments, and collaborate with cross-functional teams and clients to enable AI-driven solutions.
Ideal candidates have strong Python/SQL skills, experience with Databricks/Snowflake/BigQuery, and a solid grounding in data engineering, MLOps concepts, and cloud