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- Tasks: Build data pipelines and set up the ELK stack for insightful analysis.
- Company: N Consulting Ltd, a forward-thinking tech company in Birmingham.
- Benefits: Competitive daily rate, hybrid work model, and hands-on experience with cutting-edge tech.
- Other info: 6-month contract with opportunities for growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact with your skills in Elastic technologies.
- Qualifications: Strong knowledge of Elastic, data engineering, and cloud technologies.
The predicted salary is between 30000 - 35000 £ per year.
Location: Birmingham, United Kingdom
Work mode: Hybrid
Number of days a week worked in the office: 3
Contract duration: 6 months
Role Title: Elastic Engineer
- Elastic engineer: 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.
- Logstash pipeline scripting knowledge.
- Cloud & Kafka aware.
- Kubernetes.
Candidate will be responsible for:
- Building all the required pipelines for data ingestion.
- Setting up ELK stack.
- Analyzing and sharing insights with stakeholders.
- Maintaining the ELK stack.
Elastic Engineer employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Elastic technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to Elastic, Kibana, and data pipelines. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Logstash scripting and cloud knowledge. We recommend practicing common scenarios you might face when building data ingestion pipelines.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Elastic Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Elastic technologies like Elasticsearch, Kibana, and Logstash. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this position. Mention specific projects or experiences that relate to data pipelines and the ELK stack. It helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it’s relevant. We appreciate clarity and directness!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at N Consulting Limited
✨Know Your ELK Stack
Make sure you have a solid understanding of the ELK stack, especially Elasticsearch, Kibana, and Logstash. Be prepared to discuss how you've used these tools in past projects and any challenges you've faced while setting them up.
✨Show Off Your Data Engineering Skills
Brush up on your data engineering skills, particularly around designing and developing pipelines for data ingestion. Be ready to explain your approach to building efficient pipelines and how you ensure data quality.
✨Get Familiar with Scripting
Since Logstash pipeline scripting is crucial for this role, practice writing scripts beforehand. You might be asked to solve a problem on the spot, so having a few examples ready can really help you shine.
✨Demonstrate Cloud and Kubernetes Knowledge
As cloud and Kubernetes awareness is important, make sure you can discuss your experience with these technologies. Highlight any projects where you've deployed applications in the cloud or managed container orchestration with Kubernetes.