At a Glance
- Tasks: Design and manage Cribl data pipelines while optimising security monitoring.
- Company: Leading financial services organisation in London with a focus on cyber security.
- Benefits: Competitive salary, hybrid working model, and opportunity to work on impactful projects.
- Other info: Collaborate with cross-functional teams and enjoy excellent career growth opportunities.
- Why this job: Join a large-scale Cyber Security programme and enhance your skills in a dynamic environment.
- Qualifications: Experience with Cribl, data pipelines, and strong analytical skills required.
The predicted salary is between 56000 - 73000 £ per year.
Salary: £56,000 - 73,000 per year
Requirements
- Strong hands-on experience with Cribl Stream
- Strong hands-on experience with Cribl Search
- Strong hands-on experience with Cribl Edge
- Cribl Lake experience is desirable
- Experience building and managing large-scale data pipelines
- Strong understanding of data routing, filtering, enrichment, and transformation
- Experience with Splunk, Microsoft Sentinel, Elastic Stack, and Datadog
- Experience with SIEM platforms
- Understanding of SOC operations and security monitoring requirements
- Experience onboarding security log sources
- 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
- Azure and/or AWS experience
- Understanding of Windows and Linux environments
- Networking fundamentals including TCP/IP, DNS, SSL/TLS, and load balancing
- Python, PowerShell, and Bash/Shell scripting experience
- API integration and automation experience
- Financial services or investment banking experience is desirable
- Experience on large-scale observability or cyber transformation programmes is desirable
- Experience with OpenTelemetry is desirable
- Experience with Infrastructure as Code, such as Terraform, is desirable
- Experience with Kubernetes and containerised environments is desirable
- Exposure to DevOps and CI/CD pipelines is desirable
- 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
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
Technologies
- API
- AWS
- Azure
- Bash
- CI/CD
- Cloud
- Datadog
- DevOps Support
- JSON
- Kubernetes
- Linux
- Load Balancing
- OpenTelemetry
- PowerShell
- Python
- REST
- Security
- Splunk
- TCP/IP
- Terraform
- Windows
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. This is a 12-month contract role based in London with a hybrid working model of 4 days per week onsite, offered inside IR35 and starting as soon as possible. The successful candidate 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.
Cribl Data Analytics Engineer employer: Sivara GmbH
Join a leading financial services organisation in London that prioritises employee growth and development within a collaborative work culture. With a hybrid working model, competitive salary, and opportunities to work on large-scale cyber security projects, this role offers a meaningful chance to enhance your skills while contributing to vital security initiatives. The company fosters an environment of innovation and teamwork, making it an excellent employer for those looking to make a significant impact in the field of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Cribl Data Analytics Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Sivara GmbH before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Sivara GmbH.
✨Leverage University Resources
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We think you need these skills to ace Cribl Data Analytics Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sivara GmbH, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Sivara GmbH, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Sivara GmbH.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Sivara GmbH.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Sivara GmbH.
