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SearchWorks

Senior Data Engineer

London
Posted about 19 hours ago
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Senior Data Engineer | AI Startup | Camden | Hybrid (3-4 onsite)

I’m currently recruiting for a Senior Data Engineer to join a fast-growing AI-driven technology business transforming how hospitality businesses operate. This is a hands-on, high-ownership role where you’ll play a key part in building and scaling the data platform behind the product.

The company has built an AI-powered platform that uses data to forecast demand, optimise staffing and automate rota planning, and has already surpassed £1m ARR within its first 10 months.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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Strong

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.

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Strong

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Key Responsibilities

  • Design, build & maintain ETL/ELT data pipelines
  • Work with Python & complex SQL
  • Deploy and support ML systems in production
  • Work with AWS - S3, Redshift, RDS, Athena, SageMaker & Lambda
  • Build integrations with internal & external systems
  • Improve reliability, monitoring, scalability & performance
  • Work closely with Data Scientists, Engineers & Product teams
  • Support and mentor junior engineers

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Requirements

  • Strong Data Engineering fundamentals
  • Production-quality Python & SQL
  • Experience with ML systems in production
  • AWS/cloud & DevOps experience
  • A strong ownership mindset and willingness to get hands-on

If you're a Data Engineer who wants genuine ownership and the opportunity to build data/ML infrastructure at a rapidly scaling AI company, happy to connect!

#DataEngineering #DataEngineer #AWS #Python #SQL #MachineLearning #AI #TechJobs #LondonJobs #Hiring

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Skills

Python
SQL
AWS
ETL/ELT
Machine Learning
Data Engineering
S3
Redshift
RDS
Athena
SageMaker
Lambda
DevOps
Data Pipelines
MLOps
System Integration

Location

London, England, United Kingdom

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