Morgan McKinley
Senior Data Engineer

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Job Opportunity: Senior Data Engineer
I'm currently looking for a Senior Data Engineer to come on board for a growing client who is going on a transformation journey. You will play a key role in designing, building, and scaling the enterprise data platform that underpins analytics, reporting, automation, and AI initiatives across the business.
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.
Job Overview/Technical Spec
- Role: Senior Data Engineer
- Remote Work: The role will be remote with monthly travel to the office.
- Skills and Experience:
- Strong data engineering background
- Strong hands-on experience with Databricks, including PySpark, Spark SQL, Delta Lake
- Worked with Finance Data
- Advanced SQL and Python development skills.
- Proven experience building and optimising enterprise-scale data pipelines
- Experience working with AWS Cloud platform


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Interviews
Interviews are being booked in immediately. If you would like to discuss this role further, call me Subeg Lehl and we can discuss further.
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