Harrington Starr
Lead Data Engineer

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Lead Data Engineer | Up to £130,000 + Equity | London
I’m working with a high-growth, early-stage technology business that is looking for its first senior Data Engineering hire.
They’re building an AI-native platform designed to automate complex operational workflows across a huge traditional industry and data sits right at the heart of what they’re building. The product is already live with early customers, feedback has been extremely strong, and they’re now entering the next stage of growth.
They’re looking for a Lead Data Engineer to come in and take ownership of the data architecture from the ground up.
This is a genuine 0→1 opportunity. You won’t be inheriting a large data team or years of legacy technology. You’ll be making the decisions around how the data platform should be built, what technologies they use and the engineering standards that will underpin the business as it scales.
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.
What you'll own
- Design and build the company’s core data architecture
- Build scalable batch and real-time data pipelines
- Create the infrastructure powering both the core platform and AI products
- Work with structured and unstructured data at scale
- Build data workflows supporting machine learning and AI applications
- Work with modern data stores, including vector databases
- Own data quality, reliability, monitoring and performance
- Define the tooling, standards and best practices for Data Engineering
- Work closely with AI, Backend and Product Engineering
- Help build and shape the future Data Engineering team
The opportunity
The attraction here is the level of ownership. You’re joining early enough that some of the biggest architectural decisions are still to be made, but at a point where there is already a live product, customers and genuine demand.


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As the first senior Data Engineering hire, you'll have the opportunity to put your fingerprints across the entire data platform and ultimately build a team around what you create. They’re looking for someone who enjoys being hands-on, can operate with autonomy and wants more than simply owning one part of an established data platform.
Salary
Up to £130,000
Equity
Strong equity package
Location
London
If you’re a senior/lead Data Engineer who wants the opportunity to build something from the ground up, own the architecture and have real equity in what you’re creating, I’d be keen to speak.
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