10 ott - Pavia
Mckinsey
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
comprehensive benefits package
continuous learning and apprenticeship culture
global collaboration across 65+ countries
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
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
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