Senior software engineer quantumblack, ai by mckinsey Work, Jobs in London, Eng (with Salaries)

Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Computer Science
- Engineering
Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- English
- Java
Data Engineer II - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Management
- Computer Science
Data Scientist I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Data Scientist II - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Junior Associate - McKinsey Tech & AI
McKinsey & Company —London
- Computer Science
- Bachelor's degree
- Machine learning
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
6d
Founding Growth Marketer
Magentic —London
- £90,000 - £100,000 a year
- Full-time
- Hybrid work
- Driving
- Work from home
Graduate Technical Business Analyst, Data & AI, London
Acturis —London
- Full-time
- Hybrid work
- Bachelor's degree
- Python
Product Engineer
Magentic —London
- £110,000 - £120,000 a year
- Full-time
- Hybrid work
- JavaScript
- AI
- Python
- Work from home
Forward Deployed Engineer
Magentic —London
- £50,000 - £65,000 a year
- Full-time
- Hybrid work
- AWS
- AI
- Python
Data Scientist - Scientific AI
McKinsey & Company —London
- Doctoral degree
- Master's degree
- C++
Senior Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Front-end Engineer
Magentic —London
- £110,000 - £120,000 a year
- Full-time
- Hybrid work
- JavaScript
- AI
- Python
- Work from home
Founding Engineer (Infrastructure)
Riplo —London
- Full-time
- Microsoft Powerpoint
- Master's degree
- AWS
Quick apply
Research Science Specialist - Scientific AI
McKinsey & Company —London
- Doctoral degree
- Computer Science
- Master's degree
Manager - Cybersecurity
McKinsey & Company —London
- Azure
- AWS
- Analysis skills
Founding Engineer (Full Stack)
Riplo —London
- Full-time
- Master's degree
- AWS
- AI
Quick apply
Technical Business Analyst, London, Data & AI
Acturis —London
- Full-time
- Hybrid work
- Master's degree
- SQL
- Bachelor's degree
Quick apply

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Data Engineer I - QuantumBlack, AI by McKinsey

McKinsey & Company -
London

Apply Now

Job details

Qualifications

Azure
Computer Science
Engineering
Spark
Git
English
Google Cloud Platform
SQL
Pandas
AWS
Machine learning
AI
Communication skills
Python

Full job description

Job ID: 102717

London

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.

You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.

You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across McKinsey’s QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You’ll be based in London as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you’ll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

You will grow at the forefront of AI, data engineering, and emerging agentic technologies. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you’ll gain a holistic understanding of how data engineering enables advanced AI while collaborating with some of the leading AI and data experts in the industry.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

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

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Apply Now

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senior software engineer quantumblack, ai by mckinsey jobs in london, eng

Data Engineer I - QuantumBlack, AI by McKinsey

Senior Software Engineer - QuantumBlack, AI by McKinsey

Software Engineer - QuantumBlack, AI by McKinsey

Data Engineer II - QuantumBlack, AI by McKinsey

Data Scientist I - QuantumBlack, AI by McKinsey

Data Scientist II - QuantumBlack, AI by McKinsey

Junior Associate - McKinsey Tech & AI

Physical AI Data Scientist - QuantumBlack Labs

Founding Growth Marketer

Graduate Technical Business Analyst, Data & AI, London

Product Engineer

Forward Deployed Engineer

Data Scientist - Scientific AI

Senior Data Scientist - QuantumBlack Labs

Front-end Engineer

Founding Engineer (Infrastructure)

Research Science Specialist - Scientific AI

Manager - Cybersecurity

Founding Engineer (Full Stack)

Technical Business Analyst, London, Data & AI

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