Data Engineer — Build Scalable AI Data Pipelines

QuantumBlack, AI by McKinsey; Milano; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Company benefits

Résumé du poste

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

Qualifications

• Degree in Computer Science/Engineering or equivalent.
• Experience in a data-focused role (internships or projects).
• Ability to write clean, well-documented Python/SQL code.
• Familiarity with data platforms and cloud services.
• Strong English and French communication skills.

Responsabilités

• Design and maintain scalable data pipelines for AI systems.
• Collaborate with cross-functional teams and clients.
• Prepare data and manage secure data environments for AI workloads.
• Contribute to R&D initiatives for next-generation AI capabilities.

Connaissances

Python

SQL

Strong communication

Time management

Data engineering mindset

Formation

Degree in Computer Science/Engineering

Outils

Databricks

Snowflake

BigQuery

PostgreSQL (PSQL)

Pandas

Spark

dbt

LangChain

Git

CI/CD

MLOps/LLMOps

Cloud: AWS/Azure/GCP

Description du poste

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