National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Elastic Stack Engineer

Tower, Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Remote .NET Developer

Search - Search Inference - Senior MLOps Engineer

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) 
Package:

Up to £95,000 basic salary
Hybrid working model
25 days annual leave + public holidays 
Elastic Stack Engineer – Sports Entertainment – London (Hybrid) - Up to £95,000 + Excellent Benefits

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.