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 - QuantumBlack, AI by McKinsey (Varese)
🏢 Mckinsey
📍 Varese