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For Companies At a Glance
- Tasks: Join a global team to deliver cutting-edge security analytics platforms for a leading investment bank.
- Company: Be part of a dynamic investment bank focused on cybersecurity and innovative data solutions.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Work on impactful projects, collaborate with top cyber teams, and enhance your tech skills in a vibrant culture.
- Qualifications: Experience with data analytics platforms, cloud integration, and strong troubleshooting skills are essential.
- 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
Cyber Data Engineer employer: mthree
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 technologies mentioned in the job description, such as ElasticSearch and Splunk. Having hands-on experience or projects that showcase your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the cybersecurity and data engineering fields. Attend relevant meetups or webinars to connect with people who work in similar roles. This can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Brush up on your knowledge of cloud services like GCP, Azure, or AWS. Consider taking a short course or certification to demonstrate your commitment to understanding cloud integration, which is crucial for this role.
✨Tip Number 4
Prepare to discuss your troubleshooting experiences in detail. Be ready to share specific examples of complex issues you've resolved, particularly those involving infrastructure teams, as this will highlight your analytical and problem-solving skills.
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 are passionate about cybersecurity and data engineering. Mention specific projects or experiences that demonstrate your analytical and troubleshooting skills, as well as your familiarity with Agile methodologies.
Showcase Relevant Skills: Clearly list your technical skills related to the job description, such as your understanding of Linux/Unix system administration, networking concepts, and software version control tools like Git and Jenkins. This will help you stand out to the hiring team.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Cyber Data Engineer role.
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, especially ElasticSearch or Splunk. Highlight specific projects where you deployed or managed these technologies, and be ready to answer technical questions that demonstrate your expertise.
✨Demonstrate Problem-Solving Abilities
Since the role involves troubleshooting complex issues, share examples of past challenges you've faced and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Understand the Cybersecurity Landscape
Familiarise yourself with key cybersecurity concepts and the types of events that need monitoring. This knowledge will help you engage in meaningful discussions about the role's responsibilities and show your genuine interest in the field.
✨Communicate Clearly and Confidently
Strong verbal and written communication skills are essential for this position. Practice articulating your thoughts clearly, and consider preparing a few questions to ask the interviewers about their team and projects to demonstrate your enthusiasm.
