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Harnham

Director of Product Engineering

London
£130k – £150k/yr
Posted about 24 hours ago
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Director of Product Engineering

London | Up to £150,000
Hybrid (4 Days per Week in Office)

This is an exceptional opportunity for a senior technology leader to shape the future of a growing Data & AI business. You'll play a pivotal role in building and scaling a high-performing Product Engineering function, driving the development of innovative data-driven products used by enterprise clients.

The Company

This organisation develops sophisticated products that combine customer data, advanced analytics, AI, and software applications to help businesses make better commercial decisions. With an established client base and ambitious growth plans, they are investing heavily in their engineering capability to create scalable, repeatable, and reliable product solutions. Their culture values technical excellence, innovation, and continuous improvement, providing a strong platform for senior leaders to make a meaningful impact.

The Role

You will:

  • Lead multidisciplinary teams across Data Science, Data Engineering, Platform Engineering, and Application Development.
  • Drive technical strategy, architecture, and engineering excellence across the product portfolio.
  • Own the end-to-end delivery of scalable, production-ready data and AI solutions.
  • Provide hands-on technical leadership through architecture reviews, problem-solving, technical validation, and code reviews where appropriate.
  • Build strong engineering practices across software development, data platforms, testing, deployment, and operational support.
  • Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement.
  • Champion the adoption of AI-enabled development practices to improve quality and delivery speed.
  • Collaborate with senior stakeholders and enterprise clients to provide technical leadership on complex initiatives.
  • Influence the evolution of cloud, data, and application platforms, ensuring they support future growth.

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

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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Your Skills & Experience

  • Strong experience leading engineering, data, and analytics teams within a product-led environment.
  • Commercial expertise across software engineering, data engineering, and data science functions.
  • Hands-on knowledge of cloud technologies, particularly Azure and modern data platforms.
  • Strong understanding of Python, SQL, data architecture, distributed systems, and production environments.
  • Experience delivering machine learning, AI, or advanced analytics solutions into production.
  • Ability to balance strategic leadership with technical involvement in complex projects.
  • Strong stakeholder management skills with experience engaging both technical and executive audiences.
  • Passion for building teams, improving engineering standards, and driving organisational change.

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What They Offer

  • Salary up to £150,000.
  • Hybrid working with four days per week in their London office.
  • Significant influence over technology strategy, architecture, and product direction.
  • Opportunity to build and scale a high-performing Product Engineering organisation.
  • Exposure to cutting-edge AI, machine learning, and data-driven product development.
  • Excellent career progression within a rapidly growing business.
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Skills

Engineering Leadership
Data Science
Data Engineering
Platform Engineering
Application Development
Technical Strategy
Azure
Python
SQL
Data Architecture
Distributed Systems
Machine Learning
AI
Stakeholder Management
Cloud Technologies
Product Engineering

Location

London, England, United Kingdom

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