Data Engineer I: AI Data Pipelines & Platforms

QuantumBlack, AI by McKinsey; Greater London; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Comprehensive benefits package

Structured mentorship programs

Opportunities for continuous learning

Job summary

QuantumBlack, AI by McKinsey, is seeking a Data Engineer based in London to design and maintain scalable data pipelines for cutting-edge AI applications. This role offers a chance to work in a collaborative, agile environment alongside data scientists and machine learning engineers.

Ideal candidates will have a degree in Computer Science or equivalent experience, and skills in Python and SQL. You will support clients by building robust data foundations that enable AI adoption and address complex business challenges.

The position includes comprehensive benefits and career growth opportunities within a global community.

Qualifications

• Experience in a data-focused role (internships, academic projects).
• Familiarity with cloud platforms and data platforms.
• Exposure to modern software development practices.

Responsibilities

• Design and maintain scalable data pipelines and secure data environments.
• Collaborate with cross-functional teams on AI applications.
• Contribute to building foundational data infrastructure for AI.

Skills

Clean code writing

Python

SQL

Data engineering

Modern software development

Strong communication skills

Education

Degree in Computer Science/Engineering

Tools

Databricks

Snowflake

AWS

Azure

Pandas

Git

Job description

QuantumBlack, AI by McKinsey, is seeking a Data Engineer based in London to design and maintain scalable data pipelines for cutting-edge AI applications. This role offers a chance to work in a collaborative, agile environment alongside data scientists and machine learning engineers.

Ideal candidates will have a degree in Computer Science or equivalent experience, and skills in Python and SQL. You will support clients by building robust data foundations that enable AI adoption and address complex business challenges.

The position includes comprehensive benefits and career growth opportunities within a global community.