Data Engineer for Scalable AI & LLM Pipelines

McKinsey; København; Remote; DKK 700,000 - 900,000; Full time

Job summary

McKinsey is seeking a Data Engineer to join the AI and Data Engineering community in Copenhagen or Stockholm. You will build foundational data infrastructure powering AI applications, design scalable pipelines, and collaborate with data scientists and ML engineers.

You will work in Agile teams across disciplines, contribute to R&D in agentic and autonomous AI, and help translate hypotheses into engineered features while ensuring secure data environments.

Qualifications

• Degree in Computer Science/Engineering or equivalent experience.
• Experience in a data-focused role (internships, academic projects).
• Ability to write clean, well-documented code in Python and SQL.
• Interest in data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different data formats (structured vs unstructured) and processing methods (streaming vs batch).
• Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)
• Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles
• Exceptional time management in a complex and largely autonomous work environment
• Willingness to learn quickly and adapt to different project situations and tech stacks
• Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
• Business level language fluency skills, both verbal and written, in English and local office language(s)

Responsibilities

• Build foundational data infrastructure powering AI applications with LLMs, retrieval systems, workflows, and emerging agentic architectures.
• Design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems.
• Collaborate with cross-functional teams and clients to tackle real-world challenges and develop scalable AI capabilities.
• Translate simple hypotheses into engineered features and contribute to R&D initiatives focused on innovating AI capabilities.
• Collaborate across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams to deliver enterprise AI solutions.
• Help build robust data foundations for scalable, production-ready AI systems.

Skills

Python

SQL

Data engineering

English language proficiency

Time management

Willingness to learn

Coding agents experience

Communication skills

Education

Degree in Computer Science/Engineering

Tools

Databricks

Snowflake

BigQuery

PSQL

AWS

Azure

GCP

Pandas

Spark

dbt

LangChain

Job description

McKinsey is seeking a Data Engineer to join the AI and Data Engineering community in Copenhagen or Stockholm. You will build foundational data infrastructure powering AI applications, design scalable pipelines, and collaborate with data scientists and ML engineers.

You will work in Agile teams across disciplines, contribute to R&D in agentic and autonomous AI, and help translate hypotheses into engineered features while ensuring secure data environments.