1 to 25 of 264 Permanent Elastic Stack Jobs in London

the UK’s digital landscape. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This … of compressed hours. The Role Will Include Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure … and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture, workflows More ❯

tools used by the department to deliver services to users throughout the business. We currently use the Elastic stack extensively (Elasticsearch, Logstash, Kibana, Beats) but you’ll be part of a wider Data Science department that works on cutting-edge technologies such as AI, ML, Databricks, Node.js … of learning new skills quickly. What you’ll be doing As part of your role, your responsibilities will include: Delivery of solutions using the Elastic Stack and various other technology platforms Ongoing support of the Elastic stack and products delivered Working with other development … The necessary skills that we require for this role include: A complete understanding of the Elastic stack (including expert knowledge of Logstash, Kibana, Watcher, REST endpoints and painless scripting) Experience of working with both operational and business data sets including analysis, reporting, and alerting Experience of working More ❯

Social network you want to login/join with: Platform Support Engineer - Elastic Stack - £700 per day - 6 months, london col-narrow-left Client: Hawksworth Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.05.2025 Expiry Date … environment, the dedicated environment used to support electronic trading systems. Required skills & Experience: Expert-level knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments. Strong understanding of index lifecycle management (ILM), shard … capture/analysis tools to enhance observability of real-time systems. Hands-on expertise in data pipeline creation, ingestion strategies, and performance tuning of Logstash and Beats for scalable telemetry. Knowledge of Corvil and/or Pico tools is highly beneficial but not essential, particularly for ingesting network telemetry into More ❯

complex, large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and … 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly More ❯

complex, large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and … 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly More ❯

cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). Experience with Python, Docker, and Git. Familiarity with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. Managing support tickets using JIRA Service Desk and ensuring SLA compliance. Skills and Attributes Excellent communication and stakeholder management skills … We are an Equal Opportunities employer and welcome applicants from all backgrounds. Nice-to-have skills Linux SQL AWS and Lambda Python Docker Git Elastic Stack components Work Experience Applications Languages English Seniority Level Entry level Employment Type Temporary Job Function Information Technology Industries Technology, Information and More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of … enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. We are actively seeking a Customer … solutions or equivalent technologies. Experienced with one or more Elastic solutions (Observability, Security, Enterprise Search) or the Elastic stack (Elasticsearch, Logstash, Kibana) and how to align them with business objectives is a plus. Excellent communication and presentation skills. Strong social skills, with the ability to establish More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of … enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. We are actively seeking a Customer … solutions or equivalent technologies. Experienced with one or more Elastic solutions (Observability, Security, Enterprise Search) or the Elastic stack (Elasticsearch, Logstash, Kibana) and how to align them with business objectives is a plus. Excellent communication and presentation skills. Strong social skills, with the ability to establish More ❯

Join to apply for the Platform - Senior Product Manager (Data Admin Experiences) role at Elastic 2 weeks ago Be among the first 25 applicants Join to apply for the Platform - Senior Product Manager (Data Admin Experiences) role at Elastic Get AI-powered advice on this job and more … across varied stakeholders and use cases. What You Will Be Doing Partner to define the vision and strategy for Data Management in Elasticsearch and Kibana and to develop the overall data admin experience Partner with Elastic Solution teams across the organization to deliver great user experiences for the data … in product management, preferably building solutions related to B2B/SaaS/Platforms Knowledge of the Elastic Stack - particularly Elasticsearch and Kibana - along with opensource experience is very strongly preferred Experience in data management areas of SaaS data platform products Excellent ability to distill complex concepts into More ❯

of data pipelines. Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … experimentation and deployment. Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement … Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of … Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred More ❯

working in a SOC or cyber defence team, with demonstrable experience leading high-impact investigations. Experience with SIEM tools: Elastic Stack (Kibana, Logstash), Microsoft Sentinel. Experience with EDR tools: Microsoft Defender for Endpoint, CrowdStrike Falcon, Elastic Defend. Experience with Threat Intel: MISP (querying, correlation, pivoting). More ❯

Senior Software Engineer - Detections and Response Team Join to apply for the Senior Software Engineer - Detections and Response Team role at Elastic Senior Software Engineer - Detections and Response Team Join to apply for the Senior Software Engineer - Detections and Response Team role at Elastic Get AI-powered advice … on this job and more exclusive features. Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the … that do data searches and manipulations. Create dev tools that might help us improve our development process. Work on open-source, contribute to the Kibana codebase and issues, communicate with the Elastic community via GitHub, Slack, and discussion forums. Work with our support team to help customers answer questions More ❯

We are seeking an experienced Elasticsearch Platforms Engineer to join our Data Platforms Infrastructure team. This role is pivotal in supporting and maintaining our Elastic Cloud Enterprise (ECE) environment, designing and deploying Elastic solutions for Observability and Search, and ensuring the highest standards of security, privacy, and compliance. … will have a strong background in Elasticsearch, a keen understanding of cloud architecture, and a proven track record of managing and optimizing large-scale Elastic deployments. On-site presence required a minimum of 4 days per week. Your Benefits: Flexible working schedules - we offer flexible and hybrid working arrangements. … issues. Strong communication and collaboration skills. Preferred Qualifications: Elasticsearch Certified Engineer or similar certifications. Experience with other Elastic Stack components (e.g., Kibana, Logstash, Beats). Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana). Experience with CI/CD pipelines and Infrastructure as Code (IaC). More ❯

My client, an exciting Software Development company with a strong presence in the IT industry, is looking for an experienced Elastic Consultant. Requirements: Qualifications: Bachelor's degree in computer science, Information Technology, or a related field. 3+ years of experience working with Elasticsearch, including ECE. Strong understanding of Elasticsearch … issues. Strong communication and collaboration skills. Preferred Qualifications: Elasticsearch Certified Engineer or similar certifications. Experience with other Elastic Stack components (e.g., Kibana, Logstash, Beats). Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana). Experience with CI/CD pipelines and Infrastructure as Code (IaC). More ❯

Software Engineer (Typescript/React) - Security Analyst Experience Join to apply for the Software Engineer (Typescript/React) - Security Analyst Experience role at Elastic Software Engineer (Typescript/React) - Security Analyst Experience Join to apply for the Software Engineer (Typescript/React) - Security Analyst Experience role at Elastic … in Google docs, discuss in open GitHub issues, and chat on Slack. Your future responsibilities: Write and maintain high-quality Typescript code. Experience developing Kibana plugins. Create visualizations and UI workflows that serve security analytics use cases. Create Node.js background tasks that do data searches and manipulations. Work on open … Angular, GraphQL}. Ability to work in a distributed team throughout the world. Interest and experience in various types of automated testing. Experience with Kibana/Elasticsearch is a plus Additional Information - We Take Care Of Our People As a distributed company, diversity drives our identity. Whether you’re looking More ❯

platforms in a cloud-native environment. Observability Expertise: Deep understanding of observability pillars (metrics, logs, traces) and related tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights More ❯

a helpful and collaborative approach to support • Experience with Python or another programming language • Strong SQL skills Preferred: • Experience deploying monitoring tools such as Kibana, Logstash or equivalent, and integrating them with existing systems. • Experience with the Atlassian stack (JIRA/Confluence) • Experience using and maintaining AWS based … infrastructure and applications • Experience using and maintaining the ELK stack (Elastic Search) • Strong Unix skills, including reading and understanding the Unix file system More ❯