Flag job

Report

Elastic Stack Engineer

Salary

95 - 95 GBP

Min Experience

0 years

Location

London, England

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Elastic Stack Engineer – Sports Entertainment – London (Hybrid) - Up to £95,000 + Excellent Benefits Overview: A fast-growing, innovative organisation is seeking an experienced Elastic Stack Engineer to support and evolve its internal tooling and real-time data platforms. You'll be joining a cutting-edge Data Science function working across AI, ML, Databricks, Node.js, GraphQL, and more. This is a high-impact, hands-on role ideal for someone who thrives in fast-paced environments and enjoys working with diverse teams. Role & Responsibilities: Deliver and maintain solutions using the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Provide ongoing support for internal tooling and monitoring systems Collaborate with development teams to ensure data feeds are accurate and efficient Mentor junior engineers and assist with technical planning Contribute to Agile ceremonies and collaborative development practices (stand-ups, code reviews, retrospectives) Identify and implement improvements to enhance product performance and reliability Engage in cross-team activities, including documentation and knowledge sharing Build strong working relationships across technology and business teams Requirements: Expert-level experience with the Elastic Stack, including Logstash, Kibana, Watcher, REST endpoints, and painless scripting Strong experience working with both operational and business data Proven track record with real-time data systems Solid Azure knowledge, particularly Event Hubs and related data services Proficiency in scripting languages (Python preferred) Experience mentoring or coaching junior engineers Strong communication and collaboration skills Ability to manage multiple projects and adapt in a fast-moving environment Desirable: Kubernetes and Docker experience in a cloud environment Linux admin skills (Ubuntu preferred) SQL Server knowledge Experience with Azure DevOps (repos and deployment pipelines)

Skills

Elastic Stack
Elasticsearch
Logstash
Kibana
Azure
Python
Kubernetes
Docker
Linux
Ubuntu
SQL Server