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Engineering Manager
Engineering Manager
Reporting to: Head of Engineering Location: Hybrid, Central London Office Type: Full-time, Permanent
About QuantSpark
QuantSpark is an award-winning AI and data consultancy—we don’t just advise, we build. We help businesses in the UK and worldwide, as well as government bodies, apply data, analytics, and AI to create measurable human and societal benefit, beyond profit alone.
This means tackling real-world challenges, innovating at scale, and delivering solutions with enduring impact for our clients. Our culture is founded on:
- A meritocracy of ideas—where the best thinking wins, regardless of seniority.
- Treating cognitive failure as a learning opportunity.
- Investing in people through £6,000 annual learning & development funding, career acceleration, and project ownership.
Recently named a finalist in the Culture 100 Awards (from over 5,200 UK entrants), 93% of our team rate their experience here positively.
Our Client Portfolio
We collaborate with prestigious, high-growth organisations and sector leaders:
- Financial Services & Private Equity – Delivering AI-driven analytics, risk assessment, and operational tools.
- Retail & Consumer Brands – Optimising pricing, inventory, and customer engagement with actionable analytics.
- Asset Management – Developing automated risk management systems and investment infrastructure.
- Public Sector – Providing fraud analytics, predictive maintenance, and operations optimisation for government agencies.
- SaaS & Manufacturing – Enabling technological transformation and efficiency gains across industries.
The Role
As Engineering Manager, you’ll lead a team of 4 Data Engineers, 1 AI Engineer, and 1 QA, while contributing to broader technical delivery.
This is a player-coach role—not pure people management. Your week will balance:
- Coaching & mentoring engineers, unblocking challenges, and setting quality standards.
- Direct hands-on delivery (client engagements and product development) including:
- Architecture, code reviews, and problem-solving for hard engineering challenges.
- Tech-driven decision-making for scalable, secure, and high-quality solutions.
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Core Responsibilities
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Technical Leadership
- Oversee and architect software and data projects, ensuring scalability, security, and maintainability.
- Adopt AI responsibly, judging when it adds value, when it doesn’t, and embedding it into engineering workflows without compromising quality, security, or judgement.
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Team Development
- Guide and mentor junior to senior engineers, fostering a growth mindset and high-performance culture.
- Champion technical excellence, DevOps, and best practices.
- Champion the practical adoption of AI in tooling and client solutions.
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Collaboration & Delivery
- Partner with product managers and technical leads on project resourcing, timelines, and deliverables.
- Work across cross-functional teams to manage priorities, trade-offs, and impact.
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Stakeholder Engagement
- Bridge engineering and client needs, ensuring solutions align with business goals and drive adoption.
- Act as the technical advisor to clients and internal stakeholders.
Why Apply If…
QuantSpark is a lean consultancy with deliberate scalability. You’ll:
- Build engineering standards, processes, and tooling from the ground up.
- Work on hard, unsolved problems—often tackling challenges that larger firms overlook.
- Have real autonomy, shaping the engineering culture and helping to build the company’s roadmap.
- Thrive in ambiguity, making decisions with incomplete data and getting hands-on.
Ideal fit if you:
✔ Excel at managing teams, fostering technical growth, and inspiring a performance culture. ✔ Have hands-on experience with:
- Python (with Flask/Django)
- Frontend (React.js)
- Data Engineering (pipelines, models, data products) ✔ Master software/data architecture, containerisation, and cloud platforms (AWS/Azure). ✔ Understand AI’s value and know how to apply it strategically—safeguarding quality and outcomes. ✔ Have cross-functional management experience, including:
- Mentoring engineers at all levels.
- Driving technical and professional growth. ✔ Can prioritise competing demands while keeping a team focused, motivated, and performing. ✔ Are passionate about DevOps and modern engineering practices, always improving code and processes.
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I Want to Work for a Company That
✔ Balances visionary leadership with practical, hands-on technical execution. ✔ Values innovative culture and impactful work. ✔ Adopts AI ethically—as a tool, not a checkbox. ✔ Builds lasting impact, not just short-term gain.
I Want to Work With
✔ Bright, collaborative teams solving complex business and technical challenges. ✔ Partners and clients who actively embrace AI and data-driven transformation. ✔ Leadership that inspires, trusts, and develops emerging talent.
I’m Looking to Grow Into
In 3–5 years, I see myself:
✔ Recognised for products and solutions that meaningfully advance clients and businesses. ✔ As a thought leader and mentor, helping shape the next generation of engineers. ✔ A strategic leader, aligning big-picture decisions with AI-driven technical execution.
Perks & Benefits
✅ £6,000 annual training/conference allowance ✅ 6% matched pension contributions ✅ Private healthcare (Vitality) ✅ EMI share options – grow with the company ✅ Up to 1 month work abroad per year ✅ 25 days annual leave (plus bank holidays, with option to buy/sell up to 5 extra days) ✅ Annual volunteering day ✅ Cycle-to-work scheme ✅ Central London office with socials & events ✅ Discounts across tech, retail, fitness, and travel partners
Equal Opportunities at QuantSpark
We are committed to diversity, recognising that different perspectives strengthen our team and work. We consider all applicants regardless of:
- Sex
- Sexual orientation
- Marital status
- Race
- Nationality
- Religion
- Disability
- Age
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Jessica, London
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