SearchWorks
Senior Data Engineer

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Senior Data Engineer | London (Camden) | Hybrid (4 Days Onsite)
I'm working with a fast-growing, AI-driven tech company that's transforming an established industry through machine learning and intelligent data platforms. They're looking for a Senior Data Engineer to help scale their data infrastructure and production ML systems.
What you'll be doing:
- Build and maintain ETL/ELT pipelines
- Deploy and support production ML and LLM-driven workflows
- Work across an AWS-native platform (S3, Redshift, RDS, Athena, SageMaker, Lambda)
- Write and optimize complex SQL
- Improve platform reliability, integrations, and data quality
- Mentor junior engineers and collaborate with Data Science, Engineering, and Product teams
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.
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.
You'll need:


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Your very own career expert that helps elevate your application to the next level.
- Strong Python and SQL skills
- Experience building production data pipelines
- Hands-on experience with ML systems in production
- AWS/cloud and CI/CD experience
- An ownership mindset and the ability to thrive in a fast-paced startup
💰 Competitive salary + equity
If you're interested, or know someone who might be a good fit, feel free to get in touch!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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