Data Engineer I

About

Description

QuantumBlack, AI by McKinsey is seeking a Data Engineer I to design and maintain scalable data pipelines, manage secure data environments, and prepare data for advanced analytics while collaborating with cross-functional teams and clients. This role is an opportunity to tackle real-world challenges, contribute to innovative AI solutions, and grow as a technologist in a global, high-performance environment. You will be part of McKinsey Digital Africa, working in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts. The position offers hands-on exposure to AI-driven solutions and career development through coaching, mentorship, and global collaboration.

Responsibilities

• Design and build scalable, reproducible data pipelines for machine learning
• Assess data landscapes, ensure data quality, and prepare datasets for advanced analytics
• Manage secure data environments across client and internal projects
• Collaborate with McKinsey’s QuantumBlack and Labs teams to implement AI solutions
• Contribute to R&D and internal tool development (eg, Kedro)
• Support cross-functional Agile teams, providing data engineering expertise
• Communicate complex technical solutions clearly to technical and non-technical stakeholders

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or related field
• Up to 3 years’ experience in data engineering (internships included)
• Strong coding skills in object-oriented languages (Python, Scala, or Java)
• Familiarity with analytics libraries (eg, pandas, numpy, matplotlib)
• Knowledge of distributed computing frameworks (eg, Spark, Dask)
• Experience with cloud platforms (AWS, Azure, GCP)
• Exposure to software engineering concepts (DevOps, DataOps, MLOps)

Application instructions:

• Press the green button to apply