Engineering Manager

Join QuantSpark, a leading data and AI consultancy based in London. As an Engineering Manager, you will lead a team of data engineers, AI engineers, and QA professionals, while also being hands-on in architectural decisions and problem-solving. You will have the opportunity to shape the engineering culture, push engineering standards forward, and directly engage with clients.

• Architect and oversee delivery across multiple software and data projects, ensuring they are built to scale, built to last, and built securely.
• Mentor engineers from junior through senior levels, fostering a high-performance team culture and promoting professional growth.
• Champion the practical, responsible use of AI across engineering workflows, tooling, and deliverables to clients.

**You should hit apply if**

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 move fast, and we take on the hard problems the bigger consultancies have already tried and failed to solve. You'll get real autonomy and a say in how engineering works at QuantSpark - but 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 means that you’ll be a strong fit if

• 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, not just reviewing them
• You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure)
• You understand what AI is actually 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, and you've got the track record to prove it
• 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.

**And you want to work for a company that**

• Balances visionary leadership with hands-on technical impact
• Prioritises work that matters over work that just fills a sprint and is strong on innovative culture
• Treats AI as a tool to be used thoughtfully (not a tick box)
• Builds things that create lasting impact - for clients, and for the world those clients operate in

**You’re looking to work with**

• Smart, cross-disciplinary teams who enjoy solving hard technical and business problems together
• Clients and partners who value data and AI-driven transformation
• Leadership that trusts you, inspires you, and invests in its people
• An AI first organisation which encourages experimentation and adoption of AI across the business

**In 3-5 years, you want to be**

• Known for delivering work that mattered - to clients, and to the business
• A mentor other people point to when they talk about who helped them grow
• An influential leader who connects strategic decisions to the smart use of technology and AI