At a Glance
- Tasks: Design and optimise data pipelines using Cribl technologies for enhanced security monitoring.
- Company: Leading financial services organisation in London with a focus on Cyber Security.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a real impact on cyber security and data analytics.
- Qualifications: Experience with Cribl, data pipelines, and security monitoring tools required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid 4 Days per Week Onsite)
Contract Length: 12 Months
Engagement: Inside IR35
Start Date: ASAP
Overview
We are supporting a leading financial services organisation in London seeking an experienced Cribl Data Analytics Engineer to join a large-scale Cyber Security and Observability programme. The successful candidate will be responsible for designing, implementing, and optimising data pipelines using Cribl technologies, ensuring the efficient collection, transformation, routing, and analysis of security and operational telemetry data across enterprise environments. This role will work closely with Cyber Security, SOC, Infrastructure, Cloud, Data Engineering, and Application teams to improve data visibility, reduce SIEM costs, and enhance security monitoring capabilities.
Key Responsibilities
- Design, deploy, and manage Cribl data pipelines across enterprise environments.
- Configure and support Cribl Stream, including data collection, transformation, filtering, enrichment, masking, and routing.
- Optimise telemetry ingestion into SIEM and observability platforms.
- Implement data reduction strategies to improve platform efficiency and reduce licensing costs.
- Develop and maintain data parsing, normalisation, and enrichment processes.
- Support integration with security and monitoring platforms such as Splunk, Microsoft Sentinel, Elastic, and Datadog.
- Troubleshoot data ingestion, routing, and pipeline performance issues.
- Work with Security Operations teams to ensure required log sources are onboarded and monitored.
- Support cloud and hybrid environments including Azure, AWS, and on-premises infrastructure.
- Create dashboards, reports, and analytics to support operational and security use cases.
- Document solutions, operational procedures, and technical designs.
- Participate in change management, testing, and production deployments.
- Provide technical guidance and knowledge transfer to operational teams.
Requirements
Required Skills & Experience
- Cribl Expertise
- Strong hands-on experience with:
- Cribl Stream
- Cribl Search
- Cribl Edge
- Cribl Lake (desirable)
- Experience building and managing large-scale data pipelines.
- Strong understanding of data routing, filtering, enrichment, and transformation.
- Security & Observability
- Experience working with:
- Splunk
- Microsoft Sentinel
- Elastic Stack
- Datadog
- Security Information and Event Management (SIEM) platforms
- Understanding of SOC operations and security monitoring requirements.
- Experience onboarding security log sources.
- Data & Analytics
- Strong log analysis and troubleshooting skills.
- Experience with structured and unstructured data.
- Knowledge of JSON, Syslog, REST APIs, and common log formats.
- Experience developing dashboards and reporting solutions.
- Cloud & Infrastructure
- Azure and/or AWS experience.
- Understanding of Windows and Linux environments.
- Networking fundamentals including TCP/IP, DNS, SSL/TLS, and load balancing.
- Automation & Scripting
- Python
- PowerShell
- Bash/Shell scripting
- API integration and automation
Desirable Experience
- Financial Services or Investment Banking experience.
- Large-scale observability or cyber transformation programmes.
- Experience with OpenTelemetry.
- Experience with Infrastructure as Code (Terraform).
- Experience with Kubernetes and containerised environments.
- Exposure to DevOps and CI/CD pipelines.
Personal Attributes
- Strong analytical and problem-solving skills.
- Excellent stakeholder management and communication skills.
- Ability to work independently within complex enterprise environments.
- Strong documentation and reporting skills.
- Collaborative approach with cross-functional technical teams.
Key Deliverables
- Successful onboarding of security and operational data sources.
- Optimised Cribl pipelines reducing unnecessary data ingestion.
- Improved visibility and monitoring across security platforms.
- Accurate and reliable data routing to multiple destinations.
- Documentation and operational handover to support teams.
Cribl Data Analytics Engineer in City of London employer: International Military Ministries
Join a leading financial services organisation in London that prioritises innovation and collaboration within a dynamic work culture. As a Cribl Data Analytics Engineer, you will benefit from a hybrid working model, allowing for a balanced work-life integration while contributing to critical cyber security initiatives. The company offers extensive opportunities for professional growth, fostering an environment where your skills in data analytics and security can thrive alongside a supportive team of experts.
Contact Details:
International Military Ministries Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Cribl Data Analytics Engineer in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in data analytics. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Cribl projects or any relevant data pipelines you've built. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions related to Cribl and data analytics, and practice your answers. Be ready to discuss your experience with tools like Splunk and AWS, as well as how you’ve tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Cribl Data Analytics Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cribl Data Analytics Engineer role. Highlight your experience with Cribl technologies and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don't just list your skills—show us how you've used them! Talk about specific instances where you've designed or optimised data pipelines, especially in security contexts. This will help us see your practical experience.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at International Military Ministries
✨Know Your Cribl Inside Out
Make sure you’re well-versed in Cribl technologies, especially Cribl Stream, Search, and Edge. Brush up on how to design and manage data pipelines, as you'll likely be asked to discuss your hands-on experience and any challenges you've faced.
✨Showcase Your Security Savvy
Be prepared to talk about your experience with security monitoring tools like Splunk and Microsoft Sentinel. Highlight specific instances where you’ve improved data visibility or reduced SIEM costs, as this will resonate well with the interviewers.
✨Demonstrate Your Data Skills
Familiarise yourself with structured and unstructured data handling, and be ready to discuss your log analysis skills. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and concisely.
✨Get Comfortable with Cloud Environments
Since the role involves working with Azure and AWS, make sure you can discuss your experience in these environments confidently. Be ready to explain how you’ve supported cloud and hybrid infrastructures in past roles, as this is crucial for the position.
