Data Engineer — Build Scalable AI Data Pipelines

QuantumBlack, AI by McKinsey in Milan is seeking a data engineer to build foundational data infrastructure powering AI applications. You will design scalable data pipelines, manage secure environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

Working in Agile teams with Data Scientists and ML Engineers, you will translate hypotheses into engineered features, apply data quality fundamentals, and contribute to R&D initiatives focused on

Design and maintain scalable data pipelines for AI systems.
Collaborate with cross-functional teams and clients.
Prepare data and manage secure data environments for AI workloads.
Contribute to R&D initiatives for next-generation AI capabilities.

Degree in Computer Science/Engineering or equivalent.
Experience in a data-focused role (internships or projects).
Ability to write clean, well-documented Python/SQL code.
Familiarity with data platforms and cloud services.
Strong English and French communication skills.

Company benefits