Ubique Systems
Cloud Engineer with ELK
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer with ELK, offering a 1-year inside IR35 contract in Glasgow/Edinburgh (2 days onsite, 3 days remote). Requires 2+ years of ELK experience, including Elastic stack management, data ingestion, and Elasticsearch performance tuning.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 29, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
Glasgow, Scotland, United Kingdom
-
🧠 - Skills detailed
#Data Ingestion #Elastic Stack #Indexing #Logstash #Elasticsearch #Cloud
Role description
Cloud Engineer with ELK
Work Location - Glasgow / Edinburgh (2days Onsite and 3 days remote)
Job Type - Inside Ir35 Contract
Duration - 1 year
Skills Required:
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 cluster
• Experience working with large data sets and elastic indexing best practices.
• Good understanding of 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
• data technologies.
Cloud Engineer with ELK
Work Location - Glasgow / Edinburgh (2days Onsite and 3 days remote)
Job Type - Inside Ir35 Contract
Duration - 1 year
Skills Required:
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 cluster
• Experience working with large data sets and elastic indexing best practices.
• Good understanding of 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
• data technologies.
