Data Engineer - Quantum Black, AI by Mc Kinsey In this role you will build foundational data infrastructure powering cutting-edge AI applications. You'll design scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You'll contribute to R&D; efforts to scale next‐generation AI capabilities and work within a global data engineering community. This is an opportunity to grow as a client‐facing technologist at the frontier of AI and data engineering, in a high‐performance culture that rewards curiosity and resilience. global exposure mentorship and learning culture structured apprenticeship programs growth opportunities in AI and data engineering Design and maintain scalable data pipelines for AI systems Manage secure data environments and data quality for ML workflows Collaborate with Data Scientists, ML Engineers, and clients to deliver AI solutions Prepare and transform data,



translating hypotheses into engineered features Contribute to R&D; initiatives focused on scalable AI capabilities Build robust data foundations for production-ready AI systems Assess data landscapes and apply data governance Support cross‐functional teams in Agile environments Degree in Computer Science/Engineering, or equivalent experience Experience in a data‐focused role (internships, academic projects) Proficiency in Python and SQL with ability to write clean, well‐documented code Familiarity with data platforms (Databricks, Snowflake, Big Query, PSQL) and cloud platforms (AWS, Azure, GCP) Engineeering tools (Pandas, Spark, dbt, Lang Chain) Exposure to Dev Ops, MLOps/LLMOps, CI/CD concepts Strong time management in autonomous work environments Willingness to learn quickly and adapt to different projects and tech stacks Experience using coding agents (Cursor, Claude Code, Codex) is a plus Strong communication skills in English and French #J-18808-Ljbffr

📌 Data engineer (Italia)
🏢 Experteer Italy
📍 Italia