Data Engineer II — AI Pipelines & Agentic Systems

QuantumBlack, AI by McKinsey; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Global community engagement

Job summary

QuantumBlack, AI by McKinsey in London is looking for a Data Engineer II to build foundational data infrastructure for cutting-edge AI applications. This position involves designing and maintaining scalable data pipelines while collaborating with cross-functional teams. Strong proficiency in Python and SQL, along with at least 2-5 years of relevant experience, is essential.

The role offers unique opportunities to tackle complex challenges in AI and data engineering, contributing to innovative solutions that drive business value.

Qualifications

• 2‑5+ years of relevant professional experience building and deploying data solutions.
• Strong proficiency in Python and SQL for data engineering.
• Experience building end‑to‑end data pipelines for AI systems.

Responsibilities

• Design and maintain scalable data pipelines.
• Manage secure data environments for AI-driven systems.
• Collaborate with cross‑functional teams to build AI solutions.

Skills

Python

SQL

Data Engineering

MLOps

Education

Degree in Computer Science/Engineering

Tools

Spark

Databricks

AWS

Azure

GCP

Job description

QuantumBlack, AI by McKinsey in London is looking for a Data Engineer II to build foundational data infrastructure for cutting-edge AI applications. This position involves designing and maintaining scalable data pipelines while collaborating with cross-functional teams. Strong proficiency in Python and SQL, along with at least 2-5 years of relevant experience, is essential.

The role offers unique opportunities to tackle complex challenges in AI and data engineering, contributing to innovative solutions that drive business value.