Data Engineer for AI & Agentic Systems

QuantumBlack, AI by McKinsey; Paris; Sur place; EUR 55 000 - 90 000; Plein temps

Résumé du poste

QuantumBlack, AI by McKinsey in Paris is seeking a Data Engineer to join its global Data Engineering community. You will design scalable data pipelines and data platforms, collaborating with Data Scientists and ML Engineers to deliver AI solutions that create tangible business value.

The role emphasizes hands-on engineering, cross-functional Agile teamwork, and exposure to agentic AI technologies. You will learn quickly, contribute to R&D, and grow as a client-facing technologist while enhancing

Qualifications

• Degree in Computer Science/Engineering or equivalent experience.

Responsabilités

• Build foundational data infrastructure powering AI applications (LLMs, retrieval systems, workflows).
• Design and maintain scalable data pipelines and secure data environments.
• Prepare data for AI-driven systems and collaborate with cross-functional teams.
• Translate simple hypotheses into engineered features and contribute to R&D initiatives.
• Collaborate with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams to develop AI capabilities.

Connaissances

Python

SQL

Databricks

Snowflake

BigQuery

Pandas

Spark

dbt

LangChain

Git

MLOps

CI/CD

Agile

Client-facing

Formation

Degree in Computer Science/Engineering

Outils

Databricks

Snowflake

BigQuery

PSQL

AWS

Azure

GCP

Pandas

Spark

dbt

LangChain

Description du poste

QuantumBlack, AI by McKinsey in Paris is seeking a Data Engineer to join its global Data Engineering community. You will design scalable data pipelines and data platforms, collaborating with Data Scientists and ML Engineers to deliver AI solutions that create tangible business value.

The role emphasizes hands-on engineering, cross-functional Agile teamwork, and exposure to agentic AI technologies. You will learn quickly, contribute to R&D, and grow as a client-facing technologist while enhancing