Harnham
Data Engineer

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Director of Product Engineering
£150,000
London
This is a unique opportunity to join a fast-growing AI business at a pivotal stage of its growth. You'll be responsible for building a scalable Product Engineering function, leading multidisciplinary technical teams whilst helping transform bespoke client delivery into repeatable, enterprise-grade products. The role offers significant autonomy, executive exposure and the chance to help shape the future direction of the business.
The Company
Our client is an innovative AI and customer analytics company helping large enterprises unlock more value from their customer data. Working with organisations across Financial Services, Insurance, Retail and Healthcare, they combine Data Science, AI and Engineering to solve complex customer growth challenges. Following continued success and increasing demand, they are investing heavily in their technical capability and product platform.
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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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
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.
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.
The Role
- Lead teams across Data Science, Data Engineering, Platform Engineering and Application Development
- Build a repeatable and scalable Engineering function capable of supporting continued growth
- Own technical solution design, architecture, quality standards and production readiness across products
- Work closely with enterprise clients and senior stakeholders to deliver AI and analytics solutions
- Drive the transition from bespoke client projects towards reusable platform capabilities
- Remain technically involved through architecture reviews, problem solving and delivery support
- Develop team capability through leadership, mentoring, hiring and engineering best practice
Your Skills and Experience:
- Proven experience leading Data Engineering, Data Science and broader Product Engineering teams
- Strong background within consultancy, services or client-facing environments
- Experience building, scaling or transforming technical functions
- Strong understanding of modern data platforms, engineering best practices and architecture
- Experience working with first-party customer data and customer analytics solutions
- Technical credibility with the ability to get hands-on when required
- Previous management experience leading teams of 5+ people across multiple disciplines
- Experience with Azure, Microsoft Fabric, AI or enterprise analytics platforms would be advantageous


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Salary and Benefits
- £140,000-£150,000 base salary
- Share options with a clear growth and exit strategy
- Hybrid working model
- Expenses covered for client travel
- Significant autonomy and influence across the organisation
- Direct exposure to executive leadership team
How to Apply
Please register your interest by sending your CV to Harry Lack through the 'Apply' link.
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