Data Engineer
Posted Today by Experis UK
£700 Per day
Inside
Hybrid
Edinburgh, Scotland, United Kingdom
Summary: The role of Cloud Engineer - ELK SME involves leveraging expertise in cloud engineering and specialized knowledge in Elastic stacks, including Elasticsearch, Logstash, and Kibana. Candidates must have significant experience in managing large Elastic clusters and data ingestion pipelines. The position is hybrid and requires a daily rate of £700, classified as inside IR35. The role is based in Edinburgh or Glasgow, Scotland.
Key Responsibilities:
- Design, maintain, and manage Elastic stacks (Elasticsearch, Logstash, Kibana).
- Configure and maintain large Elastic clusters.
- Work with large data sets and implement elastic indexing best practices.
- Utilize visualization components and techniques in Elasticsearch.
- Manage performance and tuning of the Elasticsearch environment.
- Write data ingestion pipelines using Logstash and other big data tools.
Key Skills:
- 5 years of UK residency.
- Experience as a Cloud Engineer.
- 2 years of experience with Elastic stacks.
- Proven experience in performance management and tuning of Elasticsearch.
- Strong experience in writing data ingestion pipelines.
- Good understanding of visualization techniques in Elasticsearch.
Salary (Rate): £700 daily
City: Edinburgh
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Cloud Engineer - ELK SME 6 months Edinburgh/Glasgow - hybrid £700 per day inside IR35 - Umbrella only
Required Skills
- 5 Years UK Residency - BPSS and OPSEC
The ELK (Elastic Logstash & Kibana) SME is an extension of the Cloud Engineering role. In addition to being experienced Cloud Engineers as per the full description below the candidates also need 2 years of experience as follows.
ELK SME Extension
- Professional experience in the design, maintenance and management of Elastic stacks (Elasticsearch, Logstash, Kibana)
- Experience of configuring and maintaining large Elastic clusters
- Experience working with large data sets and elastic indexing best practices.
- Good understanding on Visualisation components and techniques in Elasticsearch.
- Proven experience in performance management and tuning of Elasticsearch environment.
- Strong experience in writing data ingestion pipelines using Logstash and other big.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!