Engineering Manager, QuantSpark
+ EMI share options—own a part of QuantSpark’s growth
2-3 days a week in office (Central London)
QuantSpark is revolutionising how data and AI serve society
Be an early applicant
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Be an early applicant
+ EMI share options—own a part of QuantSpark’s growth
2-3 days a week in office (Central London)
21-100 employees
Company mission
Strategy consultancy meets product studio: We build AI-powered tools that turn data into decisive competitive advantage.
Role
Who you are
- You will have real autonomy and a genuine say in how engineering works at QuantSpark, but you'll also be building the road as you drive it. That calls for someone comfortable with ambiguity, willing to make the call on imperfect information, and is ready to get hands on, helping to build the organisation
- You excel at managing teams, understand 'culture add' and how to inspire and coach a team to do their best work
- You bring hands-on experience across software and data — for example Python (Flask/Django), React.js, and analytics/data engineering (building pipelines, models, and data products)
- You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure)
- You understand the value of AI and know how to use it wisely, helping your team pick the right tools for the right problems
- You've managed cross-functional teams, mentored engineers, and championed technical and professional growth
- You can hold competing priorities at once and still keep a team focused, motivated, and performing
- You're passionate about DevOps and modern tooling, continuously pushing on process and code quality
What the job involves
- Reporting to: Head of Engineering
- As Engineering Manager, you'll lead a team of 4 Data Engineers, 1 AI Engineer and 1 QA, and sit on the wider management team
- A good portion of your week will be the coaching and line-managing of that team, growing people, unblocking them and holding the bar on quality
- The rest will be spent delivering across a mix of client engagements and our own product development
- This is a player-coach role, not pure people management, you'll stay hands-on enough to make architectural calls, review code and step in on the hard problems when needed
- Using AI well is core to the job, knowing where it genuinely adds value, where it doesn't, and how to embed it sensibly into how your team delivers and what you build for clients, without cutting corners on quality, security or judgement
- Oversee and architect delivery of multiple software and data projects, ensuring scalability, security, and maintainability
- Guide and mentor engineers from junior to senior level, fostering technical growth and a high-performance culture
- Champion the practical, responsible adoption of AI across engineering workflows, tooling, and client solutions
- Partner with product managers and technical leads on deliverables, resourcing, and timelines
- Drive innovation in engineering processes, promoting best practices, DevOps, and technical standards
- Operate calmly between competing priorities, making clear trade-offs across delivery, people, and quality
- Engage with client stakeholders, managing partnerships and ensuring solutions are adopted
Salary benchmarks
Our take
QuantSpark helps governments and businesses to strategically apply data science through the development of complex decision-making software. Primarily, its work involves analysing large datasets and systems in order to understand customer behaviour and help clients make informed decisions for strategic planning in sales and marketing.
In recent years, big data has become central to the operation of businesses large and small, and this has led to great demand for data scientists fluent in sophisticated modelling and analysis. QuantSpark seeks to go a step further, providing a service which combines data science with commercial insight- effectively providing both services through one transaction. By doing this, QuantSpark hopes to offer clients a more meaningful insight into their data than a standard consultancy could.
Already, the company has an impressive client list, including the UK Government, the Australian Government and Bain Capital. QuantSpark's tools and solutions are developed to become embedded in its clients' operations, ensuring a long-lasting relationship between them, and meaning that, as QuantSpark continues to expand its client base, its model should allow it to see continued success in the future.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Tech for good: We are passionate about giving our team the chance to have a real social impact and will have the opportunity to work on a wide variety of impactful projects
- Training budget: Everyone in QuantSpark has £6,000 training budget and 12 ring-fenced days a year to spend on their own professional development
- Work abroad for up to 1 month per year
- Generous EMI Share Options scheme
- Socials, clubs and guilds to connect with colleagues and share knowledge
- Hybrid working (2-3 days in office per week)
- Dog friendly office
- Cycle to work scheme. Onsite showers
- 25 days annual leave + bank holidays + buy/sell 5 days annual leave
- Pension matched up to 6%
- Vitality Private healthcare
- Annual performance bonus: Company profit share scheme and a personal performance bonus of 10%
Company values
- Problem Solving Power: We thrive on solving the biggest challenges with data, strategy, and AI - delivering clarity from complexity.
- Innovation That Lasts: We go beyond solutions - reimagining operations and scaling impactful innovation across industries.
- Results That Matter: We focus on outcomes that count - driving efficiency, profitability and positive societal impact.
Company HQ
London, UK
Articles
Leadership
Adam Hadley
(Co-Founder & CEO)Entrepreneur and CBE Adam leads QuantSpark and Tech Against Terrorism, using AI and analytics to tackle global challenges, strengthen security, and foster economic growth in the UK.
Diversity, Equity & Inclusion at QuantSpark
- As an AI-first consultancy tackling complex challenges from economic crime to government fraud prevention, we know that diverse perspectives drive better solutions. Different backgrounds, experiences and ways of thinking aren't just nice to have—they're essential to building technology that works for everyone and solving problems others miss.
- Transparent progression frameworks ensuring fair opportunities for growth regardless of background
- Inclusive recruitment practices designed to attract talent from underrepresented groups in tech and data science
- Regular culture initiatives like our peer feedback sessions, workshops and AMA's where we actively shape our workplace together
Share this job
View 2 more jobs at QuantSpark