CBSbutler
Data Engineer - 12-month Contract - SC Cleared

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Data Engineer
Contract
£450 - £525 per day inside IR35
Hybrid (Reading - 3 days per week)
12-month Contract
Active SC Clearance is essential for this role
Defence or Aerospace experience is preferred
Hiring for an experienced Data Engineer to join a major digital transformation programme, designing and delivering secure, enterprise-scale cloud data platforms.
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.
Responsibilities
- Design and build scalable, secure data pipelines and architectures.
- Lead enterprise data integration and ETL/ELT solutions.
- Drive data governance, security, and best practice.
- Mentor engineering teams and provide technical leadership.
- Optimise cloud-based data platforms for performance and reliability.


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Skills Required
- Strong Data Engineering background.
- AWS, Azure, or GCP.
- ETL/ELT, Data Warehousing, and Big Data technologies (Spark/Hadoop).
- Python, Java, or Scala.
- Experience designing secure, enterprise-scale data platforms.
- Defence or Aerospace background
Please apply for immediate interview!
“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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