Scalable AI Data Engineer

QuantumBlack, AI by McKinsey; Greater London; Presencial; GBP 60 000 - 90 000; Tempo integral

Resumo da oferta

QuantumBlack, AI by McKinsey seeks a data infrastructure engineer to power cutting-edge AI applications. You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You’ll build scalable, reproducible data components for agentic AI and autonomous systems, assess data landscapes, ensure data quality, and translate hypotheses into engineered features.

Qualificações

• Degree in Computer Science/Engineering, or equivalent experience.
• 1+ years of relevant professional experience building and deploying data solutions.
• Strong proficiency in Python and SQL for data engineering and production-grade code.

Responsabilidades

• Design and maintain scalable data pipelines and secure data environments.
• Prepare data for AI-driven systems and collaborate with cross-functional teams and clients.
• Evaluate data landscapes, ensure data quality, and contribute to R&D for scalable AI capabilities.

Descrição da oferta de emprego

QuantumBlack, AI by McKinsey seeks a data infrastructure engineer to power cutting-edge AI applications. You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You’ll build scalable, reproducible data components for agentic AI and autonomous systems, assess data landscapes, ensure data quality, and translate hypotheses into engineered features.