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- Tasks: Design and implement data pipelines using ELK Stack for impactful data insights.
- Company: Join a dynamic team in London, leading the way in data engineering solutions.
- Benefits: Enjoy hybrid work flexibility and a collaborative environment with industry experts.
- Why this job: Be part of innovative projects that enhance data resilience and compliance in cloud environments.
- Qualifications: 8+ years of hands-on experience with ELK Stack and cloud platforms required.
- Other info: Opportunity to work on cutting-edge technologies and gain valuable certifications.
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: JobFlurry
Contact Detail:
JobFlurry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Engineer-Elasticsearch, Logstash, Kibana
✨Tip Number 1
Make sure to showcase your hands-on experience with the ELK stack during networking opportunities. Attend meetups or webinars related to Elasticsearch, Logstash, and Kibana, where you can connect with industry professionals and share your expertise.
✨Tip Number 2
Consider contributing to open-source projects that involve the ELK stack. This not only enhances your skills but also demonstrates your commitment and passion for the technology, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss specific projects where you've designed and implemented data ingestion pipelines. Be ready to explain your thought process and the challenges you faced, as this will highlight your problem-solving abilities.
✨Tip Number 4
Familiarise yourself with the latest trends and updates in the ELK ecosystem, especially around security and cloud environments. Being knowledgeable about recent developments can give you an edge in discussions with potential employers.
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. Include specific projects where you've built and implemented ELK solutions, focusing on your hands-on experience with Elasticsearch, Logstash, and Kibana.
Craft a Strong Cover Letter: In your cover letter, emphasise your expertise in designing data ingestion pipelines and your familiarity with cloud platforms like AWS or Azure. Mention any relevant certifications in Elastic technologies to stand out.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your strong problem-solving and analytical skills. Discuss how you've tackled challenges in previous roles, particularly in relation to maintaining and supporting ELK stacks.
Highlight Collaboration Experience: Since the role involves collaborating with stakeholders, include instances where you've worked with teams to analyse data and extract insights. This will show your ability to communicate effectively and work well in a team environment.
How to prepare for a job interview at JobFlurry
✨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 the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Prepare examples that showcase your analytical skills and problem-solving abilities. Discuss scenarios where you had to troubleshoot issues within the ELK environment and how your interventions improved performance or reliability.
✨Familiarise Yourself with Cloud Platforms
Since the role requires exposure to cloud platforms, brush up on your knowledge of AWS, Azure, or GCP. Be ready to explain how you've integrated ELK solutions within these environments and any relevant experiences you have.
✨Understand Security and Compliance
Given the emphasis on security in the job description, be prepared to discuss your understanding of security best practices in data pipelines. Share any relevant experiences where you enhanced compliance and resilience in your previous roles.
