Data Engineer: Build Scalable AI Data Pipelines

McKinsey & Company; København; Hybrid; DKK 600,000 - 800,000; Full time

Benefits offered by this job

World-class benefits

Continuous learning opportunities

Global community inclusion

Job summary

McKinsey & Company is looking for a Data Engineer to design and maintain scalable data pipelines that support cutting-edge AI applications. This role involves collaboration with cross-functional teams to tackle complex challenges and directly support the firm's AI initiatives.

The ideal candidate will have a degree in Computer Science or Engineering and will be proficient in Python and SQL. You will work within a global community, contributing to innovative AI solutions as part of McKinsey’s commitment to delivering exceptional results for clients.

Qualifications

• 0-5+ years' experience in a data-focused role.
• Ability to write clean, well-documented code.
• Interest in Agentic AI and Generative AI.

Responsibilities

• Build foundational data infrastructure for AI applications.
• Design and maintain scalable data pipelines.
• Collaborate with cross-functional teams to tackle real-world challenges.

Skills

Python

SQL

Data engineering

Machine Learning

Business Intelligence

Git

Education

Degree in Computer Science or Engineering

Tools

Databricks

Snowflake

AWS

Azure

GCP

Job description

McKinsey & Company is looking for a Data Engineer to design and maintain scalable data pipelines that support cutting-edge AI applications. This role involves collaboration with cross-functional teams to tackle complex challenges and directly support the firm's AI initiatives.

The ideal candidate will have a degree in Computer Science or Engineering and will be proficient in Python and SQL. You will work within a global community, contributing to innovative AI solutions as part of McKinsey’s commitment to delivering exceptional results for clients.