RevTech
AWS Data Engineer (AI-Assisted Development)

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Agent-Directed Data Engineer
Up to £475/day | Inside IR35 (Umbrella) | 3 Months Initial | Hybrid – 3 days onsite in Aldgate, London
We're partnering with a leading consultancy delivering a major data transformation programme for a UK telecommunications client. They're looking for an experienced Data Engineer to design and deliver cloud-native data pipelines using AI-assisted development tools, helping accelerate the delivery of production-ready data solutions on AWS.
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.
Key Experience Required:
- Strong Data Engineering background with production ETL/ELT pipeline development
- AWS services including Glue, EMR, Lambda, Step Functions, S3, Aurora, MSK/Kafka and Apache Iceberg
- Strong SQL and PySpark skills
- Experience designing data pipelines, transformations, and data quality processes
- Ability to review and validate AI-generated code using tools such as Kiro, GitHub Copilot, Cursor, or similar
- Infrastructure as Code (Terraform or AWS CDK) and CI/CD experience
- Telecoms, network operations, or large-scale operational data experience is highly desirable


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This is a fantastic opportunity to work on an innovative programme combining modern AWS data engineering with AI-assisted software delivery, with strong potential for contract extension.
“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.”
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