Trust In SODA
Principal Data Engineer

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Principal Data Engineer - Hybrid
We've partnered with the innovation sector of a large multinational business who are looking for a Principal Data Engineer with experience building products for SaaS companies at large scale. They will lead the hands-on build of data pipelines powering my clients AI, analytics, and automation capabilities.
Day to Day:
- Build & operate scalable pipelines for structured/unstructured data
- Drive metadata & data quality for AI-ready, traceable datasets
- Partner with AI engineers & architects on GenAI use cases
- Set the technical bar and mentor engineers
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.
Start with a chat, not a search bar
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.
See breakdownIt searches the market for you
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.
Requirements:
- Proven experience building production-grade data pipelines for AI/analytics
- Must have built products for SaaS companies, not just internal dashboards
- Strong background in structured & unstructured data engineering
- Principal-level technical impact — through delivery and mentorship, not management
- Nice to have: GenAI/NLP, Databricks/AWS, regulated (GxP) data experience.


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If this sounds like the role for you, send across your CV or contact Adam Whitehurst at Trust in Soda for more info.
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