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Senior Data Engineer
London (Hybrid, office based 4 days a week in Camden)
Our client is a fast growing, AI led hospitality tech business.
They are looking for a Senior Data Engineer to become a key technical backbone of their data platform, owning the infrastructure and pipelines that power analytics and machine learning across the business.
What you will be doing
- Own and evolve data pipelines, designing, building, and maintaining ETL/ELT workflows that ensure high quality, reliable data across the platform
- Deploy and support production ML systems, from forecasting models to LLM driven and agentic workflows, with proper monitoring, versioning, and CI/CD
- Maintain and improve an AWS native data platform (S3, Redshift, RDS, Athena, SageMaker, Lambda), driving operational best practice and platform reliability
- Write and optimise complex SQL to support analytics, reporting, and data modelling for downstream teams and BI tooling
- Build and maintain integrations with internal services and partner systems, ensuring clean and scalable data access
- Act as a go to technical partner for production data issues, diagnosing problems and improving resilience
- Support and mentor junior team members through code reviews, pairing, and sharing best practice
- Work closely with stakeholders across the business to translate data challenges into practical, scalable solutions
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.
What we're looking for
- A technical degree such as Computer Science, Engineering, Mathematics, or a related field
- Strong data engineering fundamentals including pipeline design, orchestration, testing, and monitoring
- Confidence writing production quality Python and complex SQL across modern data platforms
- Hands on experience deploying and running ML systems in production, including model serving and monitoring
- Comfortable working across cloud infrastructure, ideally AWS, with an understanding of platform and DevOps principles
- A pragmatic, ownership driven approach, happy to dive into problems and unblock others
- A genuine enjoyment of fast moving environments where you can have real impact


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What's on offer
- Strong base salary
- Private medical insurance
- Office gym membership
- Ownership shares in a well funded, growing start up
- Free office fruit and snacks, plus regular breakfasts and lunches
- A social, friendly, and welcoming team based in the heart of Camden
If this sounds like your next move, apply now or get in touch to find o
“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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