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QuantSpark

Engineering Manager

London
Posted about 20 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • 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

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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.

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Skills

Engineering Management
Data Engineering
Analytics Engineering
Software Engineering
AI Implementation
Team Coaching
Performance Management
Client Delivery
Architecture Design
Stakeholder Management
Consulting
Product Management Partnership

Location

London, England, United Kingdom

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