Lorien
Data Engineer

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Job Title: Cyber Data Engineer
Location: Reading/Havant
Duration: 6 months
Description:
This role will support the technical delivery of cyber metrics by establishing reliable data pipelines, transforming source data and enabling automated or repeatable reporting. The role will help ensure cyber metrics are based on trusted, accessible and well-managed data rather than manual collection and spreadsheet-based processes.
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.
Scope
- Identify, onboard and integrate cyber security data sources.
- Design, build and maintain automated data pipelines and workflows.
- Develop data models, controls and quality assurance processes.
- Support dashboard development, reporting automation and analytics.
- Improve data reliability, coverage, traceability and timeliness.


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Key Skills
- Data engineering and analytics expertise.
- Experience with Power BI and Databricks.
- Strong data modelling and ETL skills.
- Understanding of cyber security technologies and security data sources.
“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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