TRIA
Lead Data Engineer

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Lead Data Engineer
London | Hybrid (2 Days) | Up to £100,000 + Bonus + Excellent Benefits
We're excited to be working exclusively with a leading international retailer, a group that is investing heavily in its data platform and looking for a Lead Data Engineer to help shape the next stage of its Enterprise Data Platform.
This is a genuinely hands-on technical leadership role. You'll sit within a small data engineering squad, leading the technical direction while still getting stuck into the engineering yourself.
What you'll be doing
- Lead the technical direction of the Data Engineering squad and help define engineering standards and best practices
- Design and build scalable data pipelines using Python, SQL and Snowflake
- Work closely with Architecture and Engineering to solution complex data problems
- Help evolve the wider Enterprise Data Platform, including data modelling, integrations, performance and reliability
- Work with cloud technologies (AWS) to move and process data into Snowflake. Don't worry if you come from a different cloud platform!
- Mentor and support other data engineers, helping raise engineering standards across the team
- Have a genuine say in how the platform evolves rather than simply delivering against a predefined technical spec.
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.
What we're looking for
We're looking for someone who is still very hands-on but has started to take on more technical leadership and solution design responsibility.
You'll ideally have:
- Strong commercial experience with Python & Snowflake
- Experience mentoring or technically leading other engineers
- Experience with dbt, Airflow or similar data engineering tooling
- A good understanding of data modelling and modern data platform architecture
- Experience working with AWS (ideally) or another major cloud platform
- The ability to take a business problem and turn it into a sensible technical solution
- Strong communication skills and the ability to explain technical concepts clearly to non-technical stakeholders


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Why join?
You'll be joining a well-established business at a hugely exciting point in its data journey, with the opportunity to have a real influence on the architecture and direction of the platform.
There's a strong mix of technical ownership, hands-on engineering and leadership, without moving you completely away from the technology.
Sound good? Great! Please apply with an up to date CV.
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