Data Engineer
Pubblicato il 15-08-2026 - Consulting / Consulenza / Coaching in Milano
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You will build the foundational data infrastructure that powers cutting‑edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures. 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 tackle real‑world challenges by contributing to the development of next‑generation AI systems and grow as a technologist by working alongside diverse experts across industries. You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally,
you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D; initiatives focused on innovating and scaling next‑generation AI capabilities. Your work will help solve some of the most complex and high‑impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production‑ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact. You’ll be based in our Milan office as part of our global Data Engineering community. Working in cross‑functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry