mthree
Data Engineer

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Role: Cyber Data Engineer
Location: Glasgow, Scotland Type: Full-Time
mthree is looking for a Cyber Data Engineer for one of the largest banking and financial services organisations. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
Role Profile
A successful applicant will contribute to several important initiatives including:
- Onboarding new data sources with appropriate field extractions
- Developing automation tools that integrate with in-house developed configuration management frameworks and APIs
- Providing consultancy to internal clients and stakeholders
- Identifying and implementing tuning to improve performance
- Working as a top-level escalation point to perform complex troubleshoots, working with other infrastructure teams to resolve issues
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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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.
Required Skills
- Infrastructure automation and integration knowledge, ideally using Python and Ansible or Terraform
- A solid understanding of Operating Systems and Networking concepts: Linux/Unix system administration, HTTP and encryption.
- Good understanding of software version control, deployment & build tools using DevOps SDLC practices (Git, Jenkins, Jira)
- Strong analytical and troubleshooting skills
- Excellent verbal & written communication skills
- Appreciation of Agile methodologies, specifically Kanban


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Desired Skills
- Prior experience deploying and managing large-scale data analytics platforms – Elasticsearch or Splunk
- Experience with data pipelines on a major Cloud Service Provider like GCP, Azure or AWS
- Administrator or architect level certifications in Splunk or Elasticsearch
- Data engineering and configuration experience inc. writing and testing field extractions using regular expressions
- Familiarity with cybersecurity concepts, event types, and monitoring requirements.
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