Overview In this role you will build foundational data infrastructure powering AI applications at scale. You will design scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems in collaboration with cross-functional teams. You will contribute to next-generation AI capabilities and production-ready data components, accelerating AI adoption for clients. You will grow as a technologist within a global, apprenticeship-driven culture that values curiosity and ethics. Retribuzione / Benefits * competitive salary * comprehensive benefits package * continuous learning and apprenticeship culture * mentorship and coaching * global collaboration across 65+ countries Responsabilità * Design and maintain scalable data pipelines for AI systems * Build robust data foundations and secure data environments * Collaborate with Data Scientists, ML Engineers,



and clients to translate hypotheses into engineered features * Assess data landscapes and apply data quality fundamentals * Contribute to R&D; initiatives for scaling next-gen AI capabilities * Work in cross-functional Agile teams and support client-facing technologist development * Learn and adapt to multiple tech stacks across industries Requisiti fondamentali * Degree in Computer Science/Engineering, or equivalent experience * Experience in data-focused roles (internships, academic projects) * Proficiency in Python and SQL * Familiarity with data platforms (Databricks, Snowflake, BigQuery, PSQL) and cloud platforms (AWS, Azure, GCP) * Exposure to data engineering in Agentic/Generative AI and ML contexts * Understanding of DevOps and MLOps/CI/CD concepts * Strong communication in English * Experience using coding agents (Cursor, Claude Code, Codex) is a plus * Ability to work autonomously in a complex environment * Strong communication * Time management * Adaptability * Python * SQL * Databricks

📌 Data Engineer (Monza)
🏢 Mckinsey
📍 Monza