Engineering Manager, QuantSpark
+ EMI share options + Bonus
2-3 days a week in office
QuantSpark is revolutionising how data and AI serve society
Posted today
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Posted today
+ EMI share options + Bonus
2-3 days a week in office
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 know how to manage a team, not just administer one - you understand "culture add," and you know how to coach people to do their best work
- You've got hands-on range across software and data: Python (Flask/Django), React.js, and analytics/data engineering - building pipelines, models, and data products yourself
- You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure)
- You understand what AI is good for, and you help your team pick the right tool for the right problem rather than reaching for it by default
- You've mentored engineers and managed cross-functional teams before
- You can hold several competing priorities at once and still keep a team focused, motivated, and genuinely performing
- You care about DevOps and modern tooling because you've felt the difference good process makes
What the job involves
- 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 goes into coaching, growing people, unblocking them, and holding quality high. The rest goes into delivery - a mix of client engagements and our own product work
- We're a lean consultancy, scaling on purpose. A lot of what you'd inherit ready-made at a bigger firm (things like engineering standards, delivery process, tooling… the very shape of the team) is still yours to build here
- We also move fast, and you'll get real autonomy and a say in how engineering works at QuantSpark. You're also building the road as you drive on it, so you'll need to be comfortable with ambiguity and confident making the call on imperfect information
- This is a player-coach role, deliberately. You'll stay hands-on enough to make the architectural calls, review the code that matters, and step into the hard problems yourself when the team needs you there. Using AI well is also core to the job - knowing where it adds real value, where it doesn't, and how to embed it sensibly into what your team ships
- Architect and oversee delivery across multiple software and data projects
- Mentor engineers from junior through senior, building a high-performance team culture
- Champion the practical, responsible use of AI across engineering workflows, tooling, and what we deliver to clients
- Partner with product managers and technical leads on deliverables, timeframes and with what resourcing
- Push our engineering standards forward - process, DevOps practice, and the technical bar we hold ourselves to
- Make the calls between competing priorities - delivery, people, and quality
- Sit in front of client stakeholders directly, owning the relationship and making sure what we build gets adopted, not just delivered
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 anywhere in the world 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 (and we have 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%
- Enhanced maternity, paternity, and shared parental leave
- Free annual Headspace subscription
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
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