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- Tasks: Design and implement data pipelines using ELK Stack and collaborate with stakeholders for insights.
- Company: Join a dynamic team in London, working on cutting-edge data solutions.
- Benefits: Enjoy hybrid work options and the chance to enhance your skills in a supportive environment.
- Why this job: Be part of impactful projects that shape data management and security in the cloud.
- Qualifications: 8+ years of experience with ELK Stack and strong cloud platform knowledge required.
- Other info: This is a 6-month contract role with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (Hybrid – 2 to 3 days onsite per week)
Contract Duration: 6 Months
Experience Required: Minimum 8 years with ELK Stack (Elasticsearch, Logstash, Kibana)
We are seeking a highly experienced Elastic Engineer to join our team on a 6-month contract basis. The ideal candidate will have extensive hands-on experience building and implementing ELK solutions from the ground up—not just monitoring existing systems.
Key Responsibilities:
- Design, build, and implement data ingestion pipelines using Logstash and Kafka
- Set up and configure the ELK Stack (Elasticsearch, Logstash, Kibana), including Fleet and Integrations
- Collaborate with stakeholders to analyze data and extract meaningful insights
- Ensure performance, availability, and reliability of the ELK environment
- Maintain and support the ELK stack and its integrations
- Apply domain knowledge in security and cloud environments to enhance data pipeline resilience and compliance
Mandatory Skills & Qualifications:
- 8+ years of hands-on experience with Elasticsearch, Logstash, and Kibana
- Proven track record of implementing and maintaining ELK stacks
- Experience designing and developing data pipelines
- Strong exposure to cloud platforms (e.g., AWS, Azure, GCP)
- Proficiency with Kafka for data streaming and ingestion
- Background or familiarity in the security domain
- Deep understanding of ELK ecosystem components including Fleet, Beats, and advanced Kibana dashboards
- Strong problem-solving and analytical skills
Desirable:
- Experience with Elastic Security or Observability solutions
- Certification in Elastic technologies or cloud platforms
Elastic Engineer-Elasticsearch, Logstash, Kibana employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Engineer-Elasticsearch, Logstash, Kibana
✨Tip Number 1
Network with professionals in the ELK Stack community. Attend meetups or webinars focused on Elasticsearch, Logstash, and Kibana to connect with others in the field. This can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your hands-on experience by contributing to open-source projects related to the ELK Stack. This not only demonstrates your skills but also helps you build a portfolio that stands out to employers.
✨Tip Number 3
Stay updated on the latest trends and updates in the ELK ecosystem. Follow relevant blogs, forums, and social media channels to ensure you’re aware of new features and best practices, which can be beneficial during interviews.
✨Tip Number 4
Prepare for technical interviews by practising common ELK Stack scenarios. Be ready to discuss your past projects and how you tackled specific challenges, as this will demonstrate your problem-solving abilities and depth of knowledge.
We think you need these skills to ace Elastic Engineer-Elasticsearch, Logstash, Kibana
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience with the ELK Stack. Focus on specific projects where you've designed and implemented data ingestion pipelines using Logstash and Kafka.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on experience with Elasticsearch, Logstash, and Kibana. Mention any relevant cloud platform exposure and how it relates to the role.
Showcase Relevant Projects: Include detailed descriptions of past projects that demonstrate your ability to build and maintain ELK stacks. Highlight your problem-solving skills and any experience in security or compliance.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Ensure that all technical terms are used correctly and that your experience aligns with the job requirements.
How to prepare for a job interview at N Consulting Limited
✨Showcase Your ELK Expertise
Make sure to highlight your extensive hands-on experience with the ELK stack. Be prepared to discuss specific projects where you designed and implemented solutions, focusing on your role in building data ingestion pipelines and configuring the stack.
✨Demonstrate Problem-Solving Skills
Prepare examples of challenges you've faced while working with Elasticsearch, Logstash, or Kibana. Discuss how you approached these problems and the solutions you implemented, showcasing your analytical skills and ability to think critically.
✨Familiarise Yourself with Cloud Platforms
Since the role requires exposure to cloud platforms like AWS, Azure, or GCP, brush up on your knowledge of these environments. Be ready to explain how you've integrated ELK solutions within cloud infrastructures and any relevant experiences you have.
✨Understand Security and Compliance
Given the emphasis on security and compliance in the job description, be prepared to discuss your understanding of these areas. Share any relevant experiences or certifications that demonstrate your knowledge in enhancing data pipeline resilience and compliance.
