Data Engineer I: Build Scalable AI Pipelines & Impact

McKinsey & Company, Inc.; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A consulting firm in London is seeking a Data Engineer I to build and maintain scalable data pipelines while managing secure data environments. You will collaborate with Data Scientists and industry experts to address real-world challenges and contribute to AI solutions. The ideal candidate holds a relevant degree and has strong coding skills in Python. This role emphasizes continuous learning and offers world-class benefits, ensuring holistic well-being.

Benefits

Comprehensive benefits package

Opportunities for mentorship

Global community of diverse colleagues

Qualifications

• Up to 2 years’ experience building data pipelines in a professional setting is a plus.
• Familiarity with analytics libraries and distributed computing frameworks is necessary.
• Exposure to software engineering concepts and best practices is advantageous.

Responsibilities

• Design and build scalable data pipelines for machine learning.
• Collaborate with Data Scientists and Machine Learning Engineers.
• Manage secure data environments and ensure data quality.

Skills

Python

Data pipeline development

Data analysis with Pandas

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

Communication skills

Education

Degree in Computer Science, Engineering, Mathematics

Tools

Spark

Python libraries (numpy, matplotlib)

Databricks

Airflow

Job description

A consulting firm in London is seeking a Data Engineer I to build and maintain scalable data pipelines while managing secure data environments. You will collaborate with Data Scientists and industry experts to address real-world challenges and contribute to AI solutions. The ideal candidate holds a relevant degree and has strong coding skills in Python. This role emphasizes continuous learning and offers world-class benefits, ensuring holistic well-being.