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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: Make an impact in cybersecurity while collaborating with top professionals in a supportive culture.
- 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 and technologies mentioned in the job description, such as ElasticSearch and Splunk. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the cybersecurity and data engineering fields. Attend industry meetups or webinars where you can connect with current Cyber Data Engineers and learn about their experiences at companies like ours.
✨Tip Number 3
Showcase your problem-solving skills by preparing for technical interviews. Be ready to discuss complex troubleshooting scenarios you've encountered and how you resolved them, especially in relation to data analytics platforms.
✨Tip Number 4
Stay updated on the latest trends in cybersecurity and data engineering. Being knowledgeable about current threats and solutions will demonstrate your passion for the field and your commitment to continuous learning.
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, express your enthusiasm for the Cyber Data Engineer role. Mention specific projects where you've successfully onboarded new data sources or developed automation tools, showcasing your problem-solving abilities.
Highlight Relevant Skills: Clearly outline your understanding of operating systems, networking concepts, and DevOps practices. Use examples to demonstrate your analytical and troubleshooting skills, as well as your familiarity with Agile methodologies.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a technical role like this.
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've 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 experience with major Cloud Service Providers like GCP, Azure, or AWS. Be ready to discuss how you've integrated data sources in the cloud and any automation tools you've developed using Python or Ansible.
✨Communicate Clearly
Excellent verbal and written communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to consult with internal clients and stakeholders who might not have a technical background.
✨Understand Agile Methodologies
Familiarity with Agile methodologies, particularly Kanban, will be beneficial. Be prepared to discuss how you've worked in Agile environments before, and how you can contribute to maintaining an efficient workflow within the team.
