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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 dynamic 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 fast-paced 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 - 84000 £ 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:
Career Wallet 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. Engaging in relevant online communities or attending industry events can help you gain insights and potentially get 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 and understanding of cloud integration, which is crucial for this role.
✨Tip Number 4
Prepare to discuss your troubleshooting experiences in detail during interviews. Be ready to share specific examples of complex issues you've resolved, particularly in relation to data analytics platforms and infrastructure automation.
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. Include specific projects where you've integrated cloud services or automated processes using Python and Ansible.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Cyber Data Engineer role. Mention your understanding of cybersecurity concepts and how your skills align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Clearly outline your technical skills related to operating systems, networking, and DevOps practices. Use bullet points to make it easy for the hiring team to see your qualifications at a glance.
Highlight Problem-Solving Experience: Provide examples of complex troubleshooting scenarios you've faced in previous roles. Emphasise your analytical skills and how you collaborated with other teams to resolve issues effectively.
How to prepare for a job interview at Career Wallet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with large-scale data analytics platforms, particularly 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 brush up on your knowledge of major Cloud Service Providers like GCP, Azure, or AWS. Be ready to discuss any relevant projects where you integrated data solutions with these platforms.
✨Emphasise Automation Experience
Talk about your experience with infrastructure automation and integration, especially using Python and Ansible. Prepare examples of how you've developed automation tools or scripts that improved efficiency in previous roles.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to consult with internal clients and stakeholders who may not have a technical background.
