Data Engineer: Build Scalable AI Pipelines & ML Systems

QuantumBlack, AI by McKinsey; København; On-site; DKK 650,000 - 900,000; Full time

Job summary

QuantumBlack, AI by McKinsey in Copenhagen or Stockholm is seeking a data engineering-focused professional to build foundational data infrastructure powering AI applications. You will design scalable data pipelines, manage secure data environments, and collaborate with cross-functional teams and clients to enable AI-driven solutions.

Ideal candidates have strong Python/SQL skills, experience with Databricks/Snowflake/BigQuery, and a solid grounding in data engineering, MLOps concepts, and cloud

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 a modern programming language, with a strong preference for Python and SQL
• Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of 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
• Strong communication skills, both verbal and written, in English and local office language(s)

Responsibilities

• Build the foundational data infrastructure powering AI applications leveraging LLMs, retrieval systems, workflows, and emerging architectures
• Design and maintain scalable data pipelines and secure data environments
• Prepare data for AI-driven systems and collaborate with cross-functional teams and clients
• Contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities
• Collaborate across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams to develop AI capabilities

Skills

Python

SQL

Data engineering

English communication

Problem solving

Education

Degree in Computer Science/Engineering

Tools

Databricks

Snowflake

BigQuery

Pandas

Spark

dbt

LangChain

Job description

QuantumBlack, AI by McKinsey in Copenhagen or Stockholm is seeking a data engineering-focused professional to build foundational data infrastructure powering AI applications. You will design scalable data pipelines, manage secure data environments, and collaborate with cross-functional teams and clients to enable AI-driven solutions.

Ideal candidates have strong Python/SQL skills, experience with Databricks/Snowflake/BigQuery, and a solid grounding in data engineering, MLOps concepts, and cloud