Engineering Manager

Story Terrace Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Bonus scheme

EMI share options

Annual training & conference budget

Pension (up to 12%)

Private healthcare

25 days holiday + 8 bank holidays +buy

5 extra days

Work from anywhere up to 1 month/year

Maternity/paternity/partners leave

Headspace subscription

Cycle to work

Office in Central London

Discounts via Vitality

Access to analytics tools

Tech talks & knowledge sessions

Job summary

QuantSpark is an analytics and AI consultancy based in London, delivering data science, ML and applied AI for financial services, retail, and public sector clients. The Engineering Manager will lead a small engineering team on client delivery, ensuring technical credibility while coaching engineers and aligning with product and engagement managers.

You'll shape AI applications, guide architecture decisions, and work across diverse projects with opportunities for growth and influence across the

Qualifications

• Experience managing engineers, including coaching, career development, and performance conversations.
• Comfortable partnering with product and engagement managers on delivery.
• Technically credible in data/analytics/software engineering.
• Strong judgement on AI and helping others use it well.
• Curiosity to move across different problems and domains.
• Client-facing or consulting experience is a plus, not required.

Responsibilities

• 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.
• Guide architecture and design decisions with a strong technical background in data/analytics engineering.
• Set direction on how the team applies AI and coach engineers to build value-driven judgement.
• Work across a varied client base spanning financial services, retail, government, and societal-impact projects.

Skills

Engineering management

Cross-functional delivery

Data/Analytics engineering

AI governance

Curiosity

Client-facing

Job description

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
  

If you're reading this and ticking most of the boxes but not all of them, apply anyway. We'd rather hear from someone who's good at this and slightly different on paper than miss them because a requirement didn't quite match.

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.