Engineering Team Lead, QuantSpark
80% Team management and 20% IC
More information about location
3 days a week in office (Southwark )
QuantSpark is revolutionising how data and AI serve society
Open for applications
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Open for applications
More information about location
3 days a week in office (Southwark )
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
- This role could suit someone currently in a Lead or Principal Engineer role with experience mentoring junior team members and who want to step up to a Team Lead role
- Equally it may suit someone in an Engineering Manager role who wants to focus less on being an IC and take on a more team management focus
- You bring hands on experience in engineering, including Python (Flask/Django), React.js, and hands-on development of web solutions
- You are fluent in software architecture, containerisation and cloud platforms (AWS/Azure/GCP)
- You have managed cross-functional teams, mentored engineers, and championed technical and professional growth
- You thrive on breaking down complex technical challenges for diverse audiences, driving projects to tangible outcomes
- You’re passionate about DevOps and modern tooling, continuously pushing the envelope on process improvement and code quality
- You understand ‘culture add’ and how to inspire a team to do their best work
What the job involves
- Here, engineers and strategists collaborate daily—compressing years of traditional progression into an accelerated path
- You will lead a multifaceted engineering team at the crossroads of technical depth, product delivery, and stakeholder management
- The split of this role is swayed mostly towards developing and coaching a team of 6 cross functional Engineers and managing the day to day aspects of being a Line Manager
- You will still be responsible for software delivery and needs will depend on client demand and in-house product development
- Oversee and architect delivery of multiple software/data projects, ensuring scalability, security, and maintainability
- Guide and mentor software engineers ranging from junior to senior levels, fostering technical growth and a high-performance culture
- Partner with product managers and technical leads on deliverables, resource allocation, and timelines
- Drive innovation in engineering processes—promoting best practices, DevOps, and technical standards
- Translate technical architectures into actionable insights for technical and non-technical audiences, bridging strategy and execution
- Engage with client stakeholders, managing partnerships and ensuring solution adoption
Application process
- 30 min intro cal with Talent team
- Short Tech take home test
- 75 mins onsite with Head of Engineering and 1 or 2 others
- 1 hour culture interview - virtual
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
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