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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 data analytics.
- 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.
- 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.
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 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 and insights.
✨Tip Number 3
Prepare to discuss your problem-solving skills in detail. Be ready to share examples of complex troubleshooting scenarios you've faced, particularly those involving data analytics platforms or cloud integrations.
✨Tip Number 4
Showcase your understanding of Agile methodologies, especially Kanban. Being able to articulate how you've applied these practices in past roles can demonstrate your adaptability and teamwork 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, 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, which is crucial for a Cyber Data Engineer.
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, particularly 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 in similar environments. Explain your thought process and the steps you took to resolve these problems, showcasing your analytical skills.
✨Familiarise Yourself with Agile Methodologies
Understanding Agile practices, especially Kanban, is crucial for this role. Be ready to discuss how you've applied Agile methodologies in previous projects and how they contributed to successful outcomes.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are essential. 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.
