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- Tasks: Build AI-driven security solutions and develop data products to combat emerging threats.
- Company: Join a leading cybersecurity firm focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge technology.
- Qualifications: Experience in Python, cybersecurity skills, and a passion for learning.
- Other info: Dynamic team environment with global collaboration and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As a Security Data Engineer, you’ll work at the intersection of data engineering, analytics, cybersecurity research, advanced analytics, and software development. You’ll build data products, develop AI‑driven security solutions, create custom detections, and support rapid response efforts to emerging threats. You’ll partner with data scientists, security specialists, and engineers across the globe — shaping the future of cybersecurity innovation.
Responsibilities:
- Build and optimise cloud-scale data pipelines and curated datasets.
- Support data ingestion infrastructure and Cybersecurity cloud workspaces.
- Develop AI/ML models, detections, and automations to identify and mitigate threats.
- Build custom security applications, APIs, and data-driven services.
- Enhance monitoring, threat hunting, and response capabilities with data and advanced analytics.
- Prototype new technologies and advanced analytics approaches.
- Explore emerging AI, automation, and security capabilities to stay ahead of adversaries.
- Support urgent investigations involving new threats or vulnerabilities.
What You Bring:
- Experience (or strong learning ambition) in Python programming.
- Cybersecurity skills.
- Knowledge of areas such as cloud security, intrusion detection, malware analysis, vulnerability assessment, or incident response.
- Understanding of threat landscapes, adversary techniques, and cyber risk management.
- AI/ML & Analytics skills.
- Experience building models, analytics pipelines, or security automations.
- Familiarity with security telemetry (EDR, firewall logs, proxy logs, vulnerability data).
- Data modelling and visualisation (Power BI, Databricks).
Most importantly, you’re curious, collaborative, and motivated to innovate in Cybersecurity.
Security Data Engineer in London employer: I-confidential
Contact Detail:
I-confidential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity and data engineering space. Attend meetups, webinars, or even online forums. The more connections we make, the better our chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML models or custom security applications. We want to see what you can do, so let’s make it easy for potential employers to be impressed!
✨Tip Number 3
Prepare for interviews by brushing up on common cybersecurity scenarios and data engineering challenges. We should practice articulating how our skills align with the job description. Mock interviews can be a game changer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar names when we’re reviewing candidates. Let’s get you in the door!
We think you need these skills to ace Security Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Security Data Engineer role. Highlight your Python programming, cybersecurity knowledge, and any relevant AI/ML projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for cybersecurity and how your background aligns with our goals at StudySmarter. Don’t forget to mention specific projects or experiences that showcase your problem-solving skills and innovation.
Showcase Your Projects: If you've built any data products, custom detections, or security applications, make sure to include them in your application. We love seeing real examples of your work, especially if they demonstrate your ability to tackle emerging threats and innovate in the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at I-confidential
✨Know Your Tech
Make sure you brush up on your Python programming skills and any relevant cybersecurity knowledge. Be ready to discuss specific projects where you've built data products or developed AI-driven solutions, as this will show your hands-on experience.
✨Showcase Your Curiosity
Demonstrate your curiosity about emerging technologies in cybersecurity. Prepare questions about the company's approach to AI/ML and how they stay ahead of threats. This shows you're not just interested in the role but also in the future of the field.
✨Collaborate Like a Pro
Since the role involves working with data scientists and security specialists, be prepared to discuss examples of successful collaboration. Highlight how you’ve worked in teams to solve complex problems or develop innovative solutions.
✨Prepare for Rapid Response Scenarios
Think about past experiences where you had to respond quickly to a threat or vulnerability. Be ready to share how you approached the situation, what tools you used, and the outcome. This will demonstrate your ability to handle urgent investigations effectively.