About QuantSpark
We're a (roughly) 50-person analytics and AI consultancy in London - small enough that the work you do is visible to the whole business, and ambitious enough that what we take on is some of the most interesting work in our field, applying data science, machine learning and applied AI to problems that move the needle for the organisations we work with.
We work across financial services, manufacturing, retail, the public sector (and more), on everything from FTSE 100 transformation programmes to long-running work on tricky societal problems.
We deliver that through four capabilities:
- AiRE (AI Rollout Engine): embedding AI tools into how a business runs
- QuantSpark Labs: short, sharp engagements that prove or kill an idea fast
- QuantSpark Transform: consulting-led change to how a business makes decisions, using data, AI and software as the lever
- QuantSpark Forge: enterprise data and AI solutions, built and embedded to solve problems that come up again and again
This year, our work received some outside recognition too: Consultancy of the Year at the British Data Awards 2026, and a finalist place in this year's Culture 100 Awards.
The role
The Engineering Manager leads a small team of engineers while working on client delivery. You'll move across a few different projects, and bring technical credibility to your team, while also developing and coaching them.
- Lead and develop a small team of engineers: run 1:1s, coach and manage performance
- Partner with product and engagement managers on client delivery, balancing scope, timelines, and quality
- Bring a strong technical background in data/analytics engineering, credible enough to guide architecture and design decisions across the team's work
- Set direction on how the team applies AI, exercising judgement on what adds value, and coach engineers to build that same judgement
- Work across a varied client base spanning financial services, retail, government, and societal-impact projects
Who you are
- A track record of managing engineers, including coaching, career development, and performance conversations
- Comfortable working in partnership on delivery with product managers and engagement managers
- Technically credible in data/analytics/software engineering
- Solid judgement on AI, with experience helping others use it well, not just using it yourself
- Genuinely curious about moving across different problems and domains
- Client-facing or consulting experience is a plus, not a requirement
The Perks
- Bonus scheme combining company profit share and personal performance bonus (up to 10% of annual salary)
- EMI share options available to everyone, regardless of seniority
- £6,000 annual training and conference budget, with 12 ringfenced learning days
- Up to 12% matched pension
- Comprehensive private healthcare through Vitality
- 25 days holiday plus 8 bank holidays, with flexibility to buy or sell up to 5 additional days
- Work from anywhere in the world for up to 1 month per year
- Enhanced maternity, paternity and shared parental leave
- Free annual Headspace subscription
- Cycle to work scheme
- Modern Blackfriars office (Central London), with regular team socials, monthly QuantSpark Fridays and employee-led clubs
- Retail, travel, technology, and fitness discounts via Vitality
- Access to modern analytics tools and platforms
- Regular tech talks, knowledge sharing sessions, and innovation time
Equal Opportunities
We're 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.