W3Global
Security Data Engineer

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Security Data Engineer
Location: London, Manchester, Halifax, UK (Hybrid - 2 days in a week)
Role purpose
Design and deliver scalable security data platforms, pipelines and integrations. Enable analytics, machine learning and knowledge graph use cases by providing reliable, governed and timely security data.
Key Responsibilities
- Build scalable batch and streaming pipelines for security telemetry and enterprise data.
- Develop ETL/ELT processes, data models, APIs and integration services.
- Integrate platforms such as ServiceNow, Dynatrace and security tooling into enterprise data ecosystems.
- Build and maintain Security Knowledge Graph data pipelines and graph models.
- Prepare trusted datasets and features for analytics and machine learning use cases.
- Implement data quality, lineage, governance, access control and observability.
- Optimize data architectures for performance, resilience, scalability and cost.
- Collaborate with security analysts, data scientists, platform teams and architects.
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.
Essential Experience And Skills
- Minimum 8 years of relevant professional experience, including substantial hands-on experience in the core specialisms of this role.
- Strong data engineering experience with Python, SQL and modern data platforms.
- ETL/ELT, APIs, event streaming and cloud data engineering.
- Knowledge of ML engineering and feature/data pipeline requirements.
- Graph databases and Security Knowledge Graph concepts.
- ServiceNow, Dynatrace or comparable ITSM/observability integration experience.
- Understanding of security telemetry, threat intelligence and data governance.


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Qualifications And Certifications
- Bachelor's degree in cyber security, computer science, engineering, data science or a related discipline, or equivalent professional experience.
- Professional cloud data engineering certification is desirable.
- Databricks, Snowflake or equivalent data platform certification is advantageous.
- Security or cloud security certification is desirable.
Core behaviours
- Strong ownership, analytical thinking and delivery focus.
- Ability to collaborate across UK and offshore, multidisciplinary teams.
- Clear communication with both technical and non-technical stakeholders.
- Commitment to secure, ethical and compliant engineering practices.
- Curiosity and continuous learning in a rapidly evolving threat and technology landscape.
“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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