Ocean Red
Technical Lead - Data Platform & Engineering

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Tech Lead – Data Platforms & Engineering
Overview
🏢 Business | Global financial markets infrastructure organisation
👤 Focus | Tech Lead – Data Platforms & Engineering
🎯 Impact | Modernising enterprise data platforms that underpin critical business systems
📏 Team | Multiple Tech Lead hires as part of a major engineering programme
🌟 Technology | Python, SQL, Snowflake, Databricks, Lakehouse Architecture
📍 Location | London
💻 Hybrid | 3 days a week in the office
💰 Salary | Up to £100,000
💎 Benefits | Annual bonus, private healthcare, generous pension, share scheme, 25 days holiday (+ Christmas Eve half day), flexible benefits and career development
The Job
Some engineering leadership jobs are about managing people.
This one is about improving how engineering gets done.
You’ll lead a team building and evolving enterprise data platforms that sit at the heart of a highly regulated financial environment. You’ll stay close to the technology, helping engineers solve difficult problems, raising engineering standards and influencing technical direction without becoming a hands-off manager.
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.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
You’ll work across cloud and on-premise environments, helping shape data platforms that process large volumes of business-critical information using technologies including Snowflake, Databricks, SQL and Python.
What makes this different is the breadth of the work.
You’ll influence architecture, mentor engineers, introduce better engineering practices and help teams make better technical decisions. AI is becoming part of the engineering toolkit here too, so you’ll have the freedom to introduce tools and approaches that genuinely improve software delivery rather than simply talking about them.
If you’ve enjoyed building engineering teams, improving technical standards and solving complex platform problems, you’ll have plenty of room to make an impact here.
You’ll get
- The chance to shape engineering practices rather than simply inherit them.
- A broad technical remit covering engineering leadership, architecture and modern enterprise data platforms.
- The opportunity to work with experienced engineers on systems that underpin a globally recognised financial institution.


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You’ll probably have
- A strong software engineering background before moving into technical leadership.
- Experience building enterprise data platforms using technologies such as Snowflake, Databricks, SQL and Python.
- The ability to mentor engineers, improve technical standards and lead engineering decisions across multiple teams.
Experience with lakehouse architecture, enterprise data architecture or AI-assisted software engineering would fit well, but we’re far more interested in how you’ve applied these technologies than simply seeing them listed on a CV.
📅 Interview Process | Introductory Call → Competency Interview → Face-to-Face Technical Interview → Final Leadership Discussion
Please note: This is a hybrid London-based position requiring three days per week in the office. Unfortunately, sponsorship isn’t available, so you’ll need to have the right to work in the UK.
Click Apply to arrange a confidential conversation and learn more about the team, the programme and what success looks like in your first 12 months.
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