Data Engineer — Build Scalable ML Pipelines

McKinsey & Company, Inc.; København; On-site; DKK 410,447 - 634,328; Full time

Benefits offered by this job

World-class benefits

Continuous learning opportunities

Diverse global community

Job summary

McKinsey & Company, Inc. is seeking a Data Engineer in Copenhagen to design and maintain scalable data pipelines while managing secure data environments. Ideal candidates have a degree in Computer Science or related fields and are experienced in Python, cloud platforms, and analytics libraries. The role emphasizes collaboration within cross-functional teams to develop innovative data solutions and impacts business growth. Employees benefit from a comprehensive learning culture and global community support, alongside competitive salaries and world-class benefits.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• Up to 5 years’ experience building data pipelines in a professional setting is a plus.
• Ability to write clean, maintainable, scalable, and robust code in Python.
• Familiarity with analytics libraries (e.g., pandas, numpy, matplotlib).
• Basic understanding of containerization technologies such as Docker and Kubernetes.
• Exposure to software engineering best practices, including DevOps, DataOps, and MLOps.
• Experience with Generative AI (GenAI) is a strong plus.
• Strong communication skills in English and local office language(s).

Responsibilities

• Design and maintain scalable data pipelines.
• Collaborate with cross-functional teams and clients.
• Ensure data quality and prepare data for advanced analytics.
• Manage secure data environments.
• Contribute to R&D projects and internal asset development.

Skills

Data pipeline development

Python programming

Cloud platforms (AWS, Azure, GCP)

Analytical libraries (pandas, numpy, matplotlib)

Containerization (Docker, Kubernetes)

DevOps/DataOps/MLOps concepts

Generative AI awareness

Strong communication skills

Time management

Education

Degree in Computer Science, Engineering, Mathematics or equivalent

Tools

SQL

PySpark

Airflow

Databricks

Job description

McKinsey & Company, Inc. is seeking a Data Engineer in Copenhagen to design and maintain scalable data pipelines while managing secure data environments. Ideal candidates have a degree in Computer Science or related fields and are experienced in Python, cloud platforms, and analytics libraries. The role emphasizes collaboration within cross-functional teams to develop innovative data solutions and impacts business growth. Employees benefit from a comprehensive learning culture and global community support, alongside competitive salaries and world-class benefits.