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- Tasks: Design and develop advanced analytics solutions to combat cyber threats.
- Company: Join a global team of cybersecurity experts and innovators.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge technologies.
- Qualifications: Experience in data engineering, cloud technologies, and cybersecurity.
- Other info: Fast-paced environment with exciting challenges and career advancement potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a highly skilled Security Data Engineer to join our global team of cybersecurity specialists, data scientists, and software engineers. You will play a critical role in designing, developing, and deploying advanced analytics solutions that protect the organisation from evolving cyber threats. In this senior technical position, you will combine deep expertise in data engineering, applied data science, cybersecurity technologies, and innovation. You’ll build data products, create cutting‑edge analytics platforms, and develop security‑focused AI solutions that help detect threats, optimise operations, and strengthen our cyber resilience at scale. If you thrive in fast‑paced environments, enjoy solving complex problems, and want to make a meaningful impact on cybersecurity, this role is for you.
Key Responsibilities
- Data Engineering & Platform Operations
- Ingest, curate, and provision datasets, delta tables, and reusable data assets to support cybersecurity use cases.
- Build, enhance, and maintain data pipelines and cloud‑based data ingestion infrastructure.
- Provide operational support for cloud landing zones and workspaces used by Cybersecurity teams.
- Cybersecurity R&D & Innovation
- Conduct research and develop prototypes to test emerging technologies and advanced analytics techniques.
- Explore innovative capabilities that harness AI/ML and disruptive technologies to stay ahead of emerging cyber threats.
- Rapid Threat Response
- Respond quickly to urgent cybersecurity issues, emerging threats, and time‑sensitive vulnerabilities.
- Advanced Analytics & Security Software Development
- Deliver analytics engineering solutions that enable effective monitoring, threat detection, triage, and automation.
- Build data products, custom security applications, APIs, and AI‑driven services to enhance Cybersecurity operations.
- Develop models, detections, and automations to combat advanced criminal and nation‑state adversaries.
Required Skills & Experience
- Data & Cloud Technologies
- Experience building and operating cloud‑scale data infrastructure and services (Azure preferred).
- Knowledge of big data technologies (e.g., Databricks, Spark) and real‑time analytics.
- Strong Python programming skills.
- Data pipeline automation, optimisation, and production deployment.
- Cybersecurity Sciences
- Ability to rapidly prototype data‑driven solutions to real cybersecurity challenges.
- Experience in one or more areas: Network, endpoint, or cloud security; Malware analysis; Cryptography; Vulnerability assessment; Intrusion detection; Incident response; Offensive security; Privileged access management.
- Understanding of adversarial techniques, global threat landscapes, and cyber risk management.
- AI/ML & Advanced Analytics
- Experience developing ML models, detections, and security automations.
- Familiarity with key security data sources (e.g., EDR telemetry, firewall & proxy logs, vulnerability data).
- Data modelling, analytics visualisation (Databricks, Power BI), and productionisation of data science pipelines.
Security Data Engineer - UK wide in Wideopen employer: I-confidential
Contact Detail:
I-confidential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Data Engineer - UK wide in Wideopen
✨Tip Number 1
Network like a pro! Reach out to professionals in the cybersecurity field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to cybersecurity. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions related to data engineering and cybersecurity to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Security Data Engineer - UK wide in Wideopen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Security Data Engineer role. Highlight your experience with data engineering, cybersecurity, and any relevant technologies like Azure or Python. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about cybersecurity and how your background makes you a great fit for our team. Don’t forget to mention any innovative projects you've worked on that relate to the role.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your skills in action, especially those involving AI/ML and advanced analytics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at I-confidential
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure, Databricks, and Python. Brush up on your knowledge of big data technologies and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in cybersecurity or data engineering. Think about situations where you had to respond quickly to threats or innovate with AI/ML solutions, and be ready to share these stories during the interview.
✨Demonstrate Your Passion for Cybersecurity
Express your enthusiasm for the field by discussing recent trends or challenges in cybersecurity. Show that you’re not just looking for a job, but that you genuinely care about making an impact in this area.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to cybersecurity and data engineering. This shows your interest in the role and helps you gauge if the company culture aligns with your values and career goals.