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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.
Data Engineer II at QuantumBlack (McKinsey's AI arm) in London, building the data infrastructure behind LLM-powered and agentic AI systems for clients. Day to day: designing scalable data pipelines, managing secure data environments, and preparing data for production AI using Python, SQL, Spark, dbt, cloud platforms, and MLOps/LLMOps tooling.
Junior data engineer building the data infrastructure behind AI systems (LLMs, retrieval, agentic workflows) for consulting clients at McKinsey's QuantumBlack. Day to day: designing scalable pipelines, managing secure data environments, and preparing data for ML/AI solutions using Python, SQL, cloud and modern data platforms.
QuantumBlack, AI by McKinsey in London is looking for a Data Engineer II to build foundational data infrastructure for cutting-edge AI applications. This position involves designing and maintaining scalable data…
QuantumBlack, AI by McKinsey seeks a data engineer to design and build scalable data pipelines powering AI applications. You will work with Data Scientists, ML Engineers, and clients to deliver robust data foundations…
QuantumBlack, AI by McKinsey, is seeking a Data Engineer based in London to design and maintain scalable data pipelines for cutting-edge AI applications. This role offers a chance to work in a collaborative, agile…
QuantumBlack, AI by McKinsey in Warsaw is seeking a Data Engineer to build the foundational data infrastructure for cutting-edge AI applications. The role encompasses designing and maintaining scalable data pipelines…
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…
Designs scalable data pipelines and prepares data for AI-driven systems, collaborating with data scientists and ML engineers to build AI infrastructure in Milan.
QuantumBlack, AI by McKinsey is seeking a senior AI/ML software engineer to lead the design and development of advanced AI solutions and scalable data pipelines. You will collaborate with a global network of…
Build AI-driven digital products and coach client teams on engineering best practices; hands-on full-stack development with Python, TypeScript, React, and cloud platforms.
Build and maintain scalable data pipelines and GenAI applications for AI-driven analytics projects, collaborating with data scientists and engineers to deliver ML solutions for clients.
Builds and maintains scalable data pipelines and GenAI solutions for high-impact AI projects across industries, collaborating with global teams.
Build and maintain scalable data pipelines and infrastructure to power AI applications using LLMs, retrieval systems, and agentic architectures for enterprise clients.
Build and maintain scalable data pipelines and secure environments to power AI applications and R&D for agentic and autonomous AI solutions.
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
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