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AWS Data Engineer (SC Cleared)

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Join a critical UK Government programme at a major UK Government Department, via a leading Global Technology Consulting Company, as an AWS Data Engineer. You'll build and optimise cloud-native data pipelines on AWS, working hands-on within a high-profile public sector environment. Multiple positions available with an ASAP start.
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.
What You'll Be Doing
- Building scalable, high-performance data pipelines on AWS
- Working with core AWS data services such as S3, Glue, Athena, Lambda, and Redshift
- Transforming and modelling data to support analytics and reporting
- Ensuring data quality, testing, and robust pipeline design
- Collaborating with stakeholders in an Agile delivery environment


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What We're Looking For
- Strong Data Engineering experience (2-5 years)
- Hands-on AWS experience - S3, Glue, Athena, Lambda
- Strong Python and SQL skills
- ETL/ELT pipeline design and orchestration
- Active SC Clearance (mandatory)
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Jessica, London
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