Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data ingestion pipelines using ELK stack.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Enjoy flexible working options and competitive perks.
- Why this job: Be part of a dynamic team making impactful data-driven decisions.
- Qualifications: 8 years of experience with Elastic Search, Kibana, and Logstash required.
- Other info: Experience in cloud and security domains is a plus.
The predicted salary is between 48000 - 72000 £ per year.
Minimum years of experience: 8 years of experience with Elastic Search, Kibana, Logstash.
Mandatory Skills:
- Elastic
- Kibana
- Logstash (ELK)
- 8 years of relevant experience in ELK
- Ability to develop/build the required pipeline for data ingestion using Logstash component
- Implementation experience in ELK
- Exposure to cloud and Kafka
- Exposure to security domain
- Strong understanding of Elastic - Elastic Search, Kibana, Logstash, Fleet and other integrations
- Data Engineering skill set to design and develop pipelines to ingest data into Elastic
- Cloud & Domain aware
Candidate will be responsible for:
- Building all the required pipeline for data ingestion
- Setting up ELK stack
- Analysing and sharing insight to stakeholders
- Maintaining the ELK stack
Elastic Engineer employer: eTeam
Contact Detail:
eTeam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Elastic Search, Kibana, and Logstash during networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Join online forums or communities focused on ELK stack technologies. Participating in discussions can not only enhance your knowledge but also increase your visibility among industry peers who might know about job openings.
✨Tip Number 3
Consider contributing to open-source projects related to ELK. This demonstrates your practical skills and commitment to the technology, making you a more attractive candidate for potential employers.
✨Tip Number 4
Stay updated on the latest trends and updates in the ELK stack and related technologies like Kafka and cloud services. Being knowledgeable about current developments can give you an edge during interviews.
We think you need these skills to ace Elastic Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8 years of experience with Elastic Search, Kibana, and Logstash. Include specific projects where you developed data ingestion pipelines and any relevant cloud or Kafka exposure.
Craft a Strong Cover Letter: In your cover letter, emphasise your hands-on experience with the ELK stack and your ability to analyse and share insights with stakeholders. Mention your understanding of security domains and how it relates to the role.
Showcase Relevant Projects: If you've worked on specific projects involving the ELK stack, describe them in detail. Highlight your role in building pipelines and maintaining the ELK setup, as well as any challenges you overcame.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for an Elastic Engineer.
How to prepare for a job interview at eTeam
✨Showcase Your ELK Expertise
Make sure to highlight your extensive experience with Elastic Search, Kibana, and Logstash. Be prepared to discuss specific projects where you developed or built data ingestion pipelines using Logstash, as this is crucial for the role.
✨Demonstrate Cloud and Kafka Knowledge
Since exposure to cloud technologies and Kafka is essential, be ready to explain how you've integrated these tools in past projects. Share examples of how you’ve leveraged cloud services to enhance ELK stack performance.
✨Understand Security Implications
Given the importance of security in this role, brush up on security best practices related to ELK. Be prepared to discuss how you’ve implemented security measures in your previous ELK setups.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of the ELK stack and data engineering principles. Practice explaining complex concepts clearly and concisely, as you may need to share insights with stakeholders who might not have a technical background.
