# Data Engineer I - QuantumBlack, AI by McKinsey [McKinsey](https://www.jorb.ai/firms/mckinsey.md) · London · United Kingdom · [Data Engineering](https://www.jorb.ai/jobs/data-engineering.md) McKinsey is hiring a Data Engineer I - QuantumBlack, AI by McKinsey in London. Posted 2026-01-01; applications close 2026-03-02. **Apply**: https://www.mckinsey.com/careers/search-jobs/jobs/dataengineeri-quantumblackaibymckinsey-102717 Posted 3mo ago. ## Role details ## Who you will work with Driving lasting impact and building long-term capabilities with our clients requires resilience and a willingness to tackle hard problems. You are motivated by a high-performance, high-reward culture—able to persevere, learn from setbacks, and explore new approaches. In return for your drive, determination, and curiosity, you will receive resources, mentorship, and opportunities to grow into a stronger leader faster than you might expect. Your colleagues at all levels will invest in your development as much as in delivering exceptional results for clients. Each day includes apprenticeship, coaching, and exposure to accelerate your growth. When you join us, you will have: - **Continuous learning:** A structured learning and apprenticeship culture designed to help you grow, with feedback that is clear, actionable, and focused on your development. Embrace fast-paced learning and own your journey. - **A voice that matters:** From day one, your ideas and contributions are valued. You will make a tangible impact by offering innovative ideas and practical solutions while upholding ethics and integrity. Diverse perspectives are encouraged and essential to achieving the best outcomes. - **Global community:** Colleagues across 65+ countries and over 100 nationalities foster creativity and collaboration. You will learn from exceptional colleagues with diverse backgrounds and experiences. - **World-class benefits:** In addition to a competitive salary (based on location, experience, and skills), a comprehensive benefits package supports your and your family's well-being. ## What you will do As a Data Engineer I, you will design and maintain scalable data pipelines, manage secure data environments, and prepare data for advanced analytics while collaborating with cross-functional teams and clients. You will tackle real-world challenges, contribute to innovative AI solutions, and grow as a technologist by working alongside diverse experts across industries. You will design and build scalable, reproducible data pipelines for machine learning. You will assess data landscapes, ensure data quality, and prepare data for advanced analytics models. Additionally, you will manage secure data environments and contribute to R&D projects and internal asset development, expanding your technical expertise. Your work will address real-world challenges across industries. Collaborating with McKinsey’s QuantumBlack and Labs teams, you will help build innovative machine learning systems that accelerate AI adoption and solve business problems at scale, enabling clients to achieve meaningful impact. You will be based in London as part of our global Data Engineering community. Working in cross-functional Agile teams, you will collaborate with Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. You will partner with clients—from data owners to C-level executives—and help solve complex problems that drive business value. This role offers an exceptional environment to grow as a technologist and collaborator. You will develop expertise at the intersection of technology and business by tackling diverse challenges. Surrounded by inspiring, multidisciplinary teams, you will gain a holistic understanding of AI while working with some of the best talent in the world. ## Your Background - Degree in Computer Science, Engineering, Mathematics, or equivalent experience - Up to 2 years’ experience building data pipelines in a professional setting (e.g., internship) is a plus - Ability to write clean, maintainable, scalable, and robust code in Python - Familiarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP) - Basic understanding or exposure to containerization technologies such as Docker and Kubernetes is beneficial - Exposure to software engineering concepts and best practices, including DevOps, DataOps, and MLOps, will be advantageous - We use the right tool for the task and often leverage Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data-pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure - Experience with Generative AI (GenAI) and agentic systems would be a strong plus - Excellent time management and organizational skills to succeed in a complex, largely autonomous environment - Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adapt to different audiences and seniority levels - Willingness to travel ## More open roles at McKinsey - [Associate Intern](https://www.jorb.ai/jobs/695658118ecf1d25ffd7e75d.md) — New York, posted 3mo ago - [Associate Intern](https://www.jorb.ai/jobs/695658118ecf1d25ffd7e75f.md) — Hong Kong, posted 3mo ago - [Consultant - Manufacturing](https://www.jorb.ai/jobs/695658118ecf1d25ffd7e76c.md) — London, posted 3mo ago - [Business Analyst Intern](https://www.jorb.ai/jobs/695658118ecf1d25ffd7e76d.md) — New York, posted 3mo ago - [Business Analyst](https://www.jorb.ai/jobs/695658118ecf1d25ffd7e772.md) — Singapore, posted 3mo ago --- Updated: 2026-04-22 Canonical: https://www.jorb.ai/jobs/695658118ecf1d25ffd7e765