Principle
Senior Data Engineer - Python/SQL - 6 month contract

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Build the data infrastructure behind apps used by billions of people - and own it end to end.
This is a senior data engineering contract with a global technology company whose apps sit on nearly every phone. You'll be embedded in their Marketing & Communications analytics team, designing and scaling the ETL pipelines and data models that decide how marketing performance gets measured across their entire family of apps.
It's a driver's seat, not a passenger one. You'll take projects from architecture through to execution yourself - and you'll be actively encouraged to use AI tools to work faster and smarter.
What's in it for you
- 6-month contract inside IR35 with real, end-to-end ownership
- Fully remote within the UK
- Annual Salary up to £110,000 pro rata (DOE)
- Paid weekly via Principle HR (inside IR35, PAYE)
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.
Please note: For this opportunity we can only consider candidates physically based in the UK with existing right to work. We're not able to look at applicants based overseas or who'd need sponsorship.
What you'll need
- 5+ years hands-on in data engineering (or data-heavy roles)
- Strong SQL and Python - used daily, non-negotiable
- Proven experience building and optimising ETL pipelines at serious scale (billions of rows)
- The judgement to design scalable, efficient architecture yourself
- Comfort using AI tools to speed up your coding and data work
- A bonus, not a barrier: exposure to marketing analytics or martech


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What your day looks like
- ~80% designing, building and tuning ETL pipelines against enormous datasets
- ~20% building dashboards on internal tooling
- Translating what the marketing and data-science teams need into working data models
- Making the architecture calls - balancing speed, cost and scale
Interested?
Roles like this Data Engineer don't sit around. We're reviewing applications as they land and moving fast - if you're reading this a week from now, it's probably already gone. Apply now or send your CV over, and I'll come straight back to you.
Som | som@principlehr.com
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