Devops engineer Work, Jobs in Flamstead, Hrt (with Salaries)

Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Computer Science
- Engineering
- English
Senior IT Engineer
SCS Railways —London
- Continuous improvement
- Agile
- Communication skills
13d
Firmware Engineer - Fixed Term Contract
Sartorius —Royston
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Free parking
- Annual leave
Senior Platform Engineer
PayPoint —Welwyn Garden City
- Full-time
- Hybrid work
- Azure
- Mentoring
- Leadership
- Employee discount
Quick apply
Data Engineer (Mid‑Level ), Global
Vantage Data Centers UK Management Company Ltd —London
- Azure
- Computer Science
- Engineering
- Annual leave
Quick apply
Software Engineer
TREND Networks Limited —High Wycombe
- £35,000 - £60,000 a year
- Full-time
- Azure
- Analysis skills
- C++
- Free parking
- Employee assistance programme
Quick apply
4d
Senior Backend Engineer
BRAHMA —London
- Master's degree
- Machine learning
- APIs
12d
Senior QA Engineer
Universal Music Group —London
- Full-time
- Communication skills
- Annual leave
- Employee discount
Senior Software Engineer
PayPoint —Welwyn Garden City
- Full-time
- Hybrid work
- Master's degree
- Databases
- Continuous improvement
- Employee discount
Quick apply
Manager, Software Quality Assurance (Salesforce and Integrations)
Insulet Corporation —London
- Full-time
- Salesforce
- AI
- Leadership
Full Stack Engineer (UK)
Allica Bank —Milton Keynes
- Full-time
- Hybrid work
- Azure
- AI
- Communication skills
AI Enablement Engineer
JustPark —London
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Organisational skills
- Free parking
Quick apply
7d
Back End Software Engineer
FundApps —London
- £60,000 - £65,000 a year
- Full-time
- Hybrid work
- AWS
- Continuous improvement
- Agile
- Annual leave
- Life insurance
Quick apply
Software Engineer
AlliedCrowds —London
Senior Software Engineer FX
The Currency Cloud Services Limited —London
- Java
- SQL
- Mentoring
Observability Engineer
Universal Music Group —London
- Full-time
- Computer Science
- Engineering
- Analysis skills
Full-Stack Software Engineer (C#/.NET & Angular)
Spreadex Careers —St Albans
- Hybrid work
- Oracle
- AWS
- Communication skills
Senior Data Engineer
CluePoints —London
- £60,000 - £80,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
- Life insurance
Quick apply
Lead/Senior Software Engineer - Full stack
NECSWS —Hemel Hempstead
- Full-time
- Remote
- Computer Science
- DevOps
- Engineering
- Annual leave
- Employee assistance programme
Quick apply
4d
Senior Software Engineer
The Currency Cloud Services Limited —London
- Doctoral degree
- DevOps
- Master's degree

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Data Engineer I - QuantumBlack, AI by McKinsey

McKinsey & Company -
London

Apply Now

Job details

Qualifications

CI/CD
Computer Science
Engineering
Spark
English
Pandas
Machine learning
Data pipeline
Software development
Agile
Multidisciplinary collaboration
AI
Communication skills

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

Refine Your Search

devops engineer jobs in flamstead, hrt

Data Engineer I - QuantumBlack, AI by McKinsey

Senior IT Engineer

Firmware Engineer - Fixed Term Contract

Senior Platform Engineer

Data Engineer (Mid‑Level ), Global

Software Engineer

Senior Backend Engineer

Senior QA Engineer

Senior Software Engineer

Manager, Software Quality Assurance (Salesforce and Integrations)

Full Stack Engineer (UK)

AI Enablement Engineer

Back End Software Engineer

Software Engineer

Senior Software Engineer FX

Observability Engineer

Full-Stack Software Engineer (C#/.NET & Angular)

Senior Data Engineer

Lead/Senior Software Engineer - Full stack

Senior Software Engineer

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