Data Engineer — Build Scalable AI Data Pipelines - QuantumBlack, AI by McKinsey
Data Engineer at QuantumBlack, AI by McKinsey in Milan, building the foundational data infrastructure behind AI applications — designing scalable data pipelines, managing secure environments, and preparing data for AI systems in Agile teams alongside data scientists and ML engineers.
- Compensation
- Not disclosed
- Location
- milan, Italy
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Design scalable data pipelines
- Manage secure data environments
- Prepare data for AI-driven systems
- Work in Agile teams with Data Scientists and ML Engineers
- Translate hypotheses into engineered features
- Apply data quality fundamentals
- Collaborate with cross-functional teams and clients
- Contribute to R&D initiatives
Full description
QuantumBlack, AI by McKinsey in Milan is seeking a data engineer to build foundational data infrastructure powering AI applications. You will design scalable data pipelines, manage secure environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.
Working in Agile teams with Data Scientists and ML Engineers, you will translate hypotheses into engineered features, apply data quality fundamentals, and contribute to R&D initiatives focused on