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For Companies At a Glance
- Tasks: Join a global team to enhance security analytics platforms for a leading investment bank.
- Company: Be part of a prestigious investment bank focused on cutting-edge cybersecurity solutions.
- Benefits: Enjoy flexible working options and access to corporate perks like training and development.
- Why this job: Work on impactful projects, collaborate with experts, and grow your skills in a dynamic environment.
- Qualifications: Experience with data analytics platforms, cloud integration, and strong troubleshooting skills required.
- Other info: Ideal for tech-savvy individuals passionate about cybersecurity and data engineering.
The predicted salary is between 48000 - 72000 £ per year.
A great opportunity for a Cyber Data Engineer to be part of a global team, responsible for delivering security analytics platforms for a leading investment bank. Their key stakeholders are cyber teams including security response, investigations and insider threat, and will help maintain their platforms.
Role Profile
- 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
Required Skills
- Prior experience deploying and managing large-scale data analytics platforms – ElasticSearch (preferred) or Splunk
- Experience with Cloud integration with a major Cloud Service Provider like GCP, Azure or AWS
- Infrastructure automation and integration experience, ideally using Python and Ansible
- 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
Desired Skills
- Administrator or architect level certifications in Splunk or Elasticsearch
- Data engineering and configuration experience including writing and testing field extractions using regular expressions
- Familiarity with cybersecurity concepts, event types, and monitoring requirements
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cyber Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as ElasticSearch and Splunk. Having hands-on experience or even personal projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the cybersecurity field, especially those who work with data analytics platforms. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends and challenges in the sector.
✨Tip Number 3
Showcase your problem-solving abilities by preparing for technical interviews. Be ready to discuss complex troubleshooting scenarios you've encountered in previous roles, particularly those involving infrastructure automation and integration.
✨Tip Number 4
Stay updated on the latest developments in cloud services and cybersecurity concepts. This knowledge will not only help you during interviews but also demonstrate your commitment to continuous learning and adaptability in a fast-paced environment.
We think you need these skills to ace Cyber Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in deploying and managing data analytics platforms, especially with ElasticSearch or Splunk. Emphasise your skills in cloud integration and infrastructure automation using Python and Ansible.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about cybersecurity and how your background aligns with the role. Mention specific projects where you've successfully onboarded new data sources or developed automation tools.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, such as your understanding of Linux/Unix systems, networking concepts, and familiarity with DevOps practices. This will help demonstrate your fit for the role.
Highlight Soft Skills: Don't forget to mention your strong analytical and troubleshooting skills, as well as your ability to communicate effectively. These are crucial for working with internal clients and stakeholders in a collaborative environment.
How to prepare for a job interview at mthree
✨Showcase Your Technical Skills
Be prepared to discuss your experience with large-scale data analytics platforms like ElasticSearch or Splunk. Highlight specific projects where you deployed or managed these technologies, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Cloud Integration Knowledge
Since cloud integration is a key part of the role, make sure to talk about your experience with major Cloud Service Providers such as GCP, Azure, or AWS. Share examples of how you've integrated data sources in the cloud and any automation tools you've developed.
✨Emphasise Troubleshooting Experience
As a top-level escalation point, your troubleshooting skills will be crucial. Prepare to discuss complex issues you've resolved in the past, particularly those involving infrastructure teams. Use specific examples to illustrate your analytical approach and problem-solving abilities.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are essential for this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to provide consultancy and collaborate effectively with internal clients.
