Engineering Manager

Title: Engineering Manager
Reporting to: Head of Engineering
Office Environment: Hybrid, Central London Office
Type: Full time, Permanent

About QuantSpark

QuantSpark is an award-winning AI and data consultancy, but we don't just advise, we build. We help businesses in the UK and beyond, as well as governments, apply data, analytics and AI for measurable human and societal benefit, not just profit. This means tackling real-world challenges, innovating at scale, and forging solutions that deliver real impact to our clients.

Our culture is built on meritocracy of ideas, where the best thinking wins regardless of seniority, a place where intelligent failure is treated as something to learning form, and where we seriously invest in people with opportunities for career acceleration, ownership over projects, and a personalised £6K per year L&D budget. We’ve recently been named as finalist in the Culture 100 Awards, shortlisted from more than 5,200 UK companies, with 93% of our team rating their experience here positively in May 2026.

Our Client Portfolio

We work with prestigious, high-growth organisations and sector leaders, in the UK and internationally:

• Financial Services & Private Equity: Delivering AI-powered analytics, risk, and operational tools.
• Retail & Consumer Brands: Optimising pricing, inventory, and engagement through actionable analytics.
• Asset Management: Developing investment infrastructure and automated risk management systems.
• Public Sector: Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation.
• SaaS & Manufacturing: Driving technological transformation and efficiency across verticals.

The Role

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.

You Should Hit the Apply Button If

We're a lean consultancy scaling deliberately. A lot of what you'd take for granted at a larger firm is still yours to build such as engineering standards, delivery processes, tooling, the shape of the team itself. We move fast, we take on hard problems that often the bigger consultancies haven’t been able to solve. 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.

I Want to Work for a Company That

• Balances visionary leadership with hands-on technical impact.
• Prioritises impactful work and an innovative culture.
• Treats AI as a tool to be used thoughtfully, not a box to be ticked.
• Builds solutions that create lasting impact in both business and society.

I'm Looking to Work With

• Smart, collaborative, cross-disciplinary teams solving complex business and technical problems.
• Partners and clients who value AI and data-driven transformation.
• Leadership that inspires, trusts, and invests in emerging talent.

In 3–5 Years I Want to Be

• Recognised for delivering impactful work that matters to clients and the business.
• A recognised mentor who's grown talented engineers and future leaders.
• An influential leader connecting strategic decisions with the smart use of technology and AI.

Perks & Benefits

• £6,000 annual training/conference allowance
• Matched pension contributions up to 6%
• Private Healthcare (Vitality)
• EMI share options—own a part of QuantSpark’s growth
• Work abroad up to one month every year
• 25 days annual leave (+ bank holidays with the option to buy/sell up to 5 days)
• Annual volunteering day
• Cycle-to-work scheme
• Central London office with socials & events
• Discounts with major retailers, tech, fitness, travel partners

Equal Opportunities

We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger—both as people and as a business. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.