Data Engineer

Summary: The role of Cloud Engineer - ELK SME involves leveraging expertise in Elastic stacks as part of a Cloud Engineering team. Candidates must possess significant experience in managing and optimizing Elasticsearch environments, alongside strong data ingestion skills. This position is hybrid, based in Edinburgh or Glasgow, and requires a daily rate of £700 inside IR35. The contract duration is six months.

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 tools.

Key Skills:

• 5 Years UK Residency - BPSS and OPSEC.
• 2 years of experience as an ELK SME.
• Professional experience in Elastic stack management.
• Experience with large Elastic clusters.
• Strong understanding of data ingestion pipelines.
• Good knowledge of Elasticsearch visualization techniques.
• Proven performance management skills in Elasticsearch.

Salary (Rate): £700 per day

City: Edinburgh

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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!