1 to 25 of 59 Elastic Stack Jobs in the Thames Valley

Social network you want to login/join with: Platform Support Engineer - Elastic Stack - £700 per day - 6 months, slough col-narrow-left Client: Hawksworth Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 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 ❯

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 ❯

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 ❯

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 ❯

preferred). Maintain configuration management using tools like Ansible, Chef, or Puppet. Monitor application performance, uptime, and logs using tools like Splunk, ELK Stack, or Prometheus/Grafana. Work with cloud platforms (Azure preferred, AWS or GCP a plus) to ensure scalable and secure environments. Ensure compliance with More ❯

preferred). Maintain configuration management using tools like Ansible, Chef, or Puppet. Monitor application performance, uptime, and logs using tools like Splunk, ELK Stack, or Prometheus/Grafana. Work with cloud platforms (Azure preferred, AWS or GCP a plus) to ensure scalable and secure environments. Ensure compliance with More ❯

preferred). Maintain configuration management using tools like Ansible, Chef, or Puppet. Monitor application performance, uptime, and logs using tools like Splunk, ELK Stack, or Prometheus/Grafana. Work with cloud platforms (Azure preferred, AWS or GCP a plus) to ensure scalable and secure environments. Ensure compliance with More ❯

preferred). Maintain configuration management using tools like Ansible, Chef, or Puppet. Monitor application performance, uptime, and logs using tools like Splunk, ELK Stack, or Prometheus/Grafana. Work with cloud platforms (Azure preferred, AWS or GCP a plus) to ensure scalable and secure environments. Ensure compliance with More ❯

preferred). Maintain configuration management using tools like Ansible, Chef, or Puppet. Monitor application performance, uptime, and logs using tools like Splunk, ELK Stack, or Prometheus/Grafana. Work with cloud platforms (Azure preferred, AWS or GCP a plus) to ensure scalable and secure environments. Ensure compliance with More ❯

like Docker, Kubernetes. Experience operating and developing CI/CD tooling like Jenkins, Rundeck, ArgoCD. Experience with log aggregation tools like ELK (Elastic Kibana). Experience with monitoring software like Dynatrace, New Relic, Prometheus. Experience with secret management tools such as Hashicorp Vault/Consul. Ability to diagnose and More ❯

learning Good communication skills and a collaborative mindset Desirable Skills Experience with Terraform, Ansible, or Helm Familiarity with observability tools such as ELK Stack, CloudWatch, or New Relic Understanding of security considerations in cloud and CI/CD environments More ❯

/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Strong scripting skills (e.g., Bash, Python) for automation tasks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred More ❯

AWS. Experience with infrastructure provisioning, support and automation using Terraform, Ansible etc Expertise in designing and implementing monitoring, logging and alerting systems (ELK stack, Prometheus, Grafana, Splunk) Proficient with CI/CD tools (e.g., Jenkins, Git, GitHub Actions) and expertise in implementing and managing cloud-based database services More ❯

Apply Hybrid Work Model Reading, UK base location with some travel to client location AWS services - IAMS, WAFS, SQSBYOK, Helm, Kubernetes, Docker, Ingress, Kafka, Elastic Search, Pega experience is a MUST The DevOps engineer will be required to contribute to version-controlled configuration assets within a DevOps team’s … Terraform, Linux, AWS EC2, S3 and EKS are essential) with Squid Proxy, NGINX with AWS services - IAMS, WAFS, SQSBYOK, Helm, Kubernetes, Docker, Ingress, Kafka, Elastic Search, Pega exp must. Key responsibilities include: Design and implement automated build and deployment solutions for Java-based microservice applications utilizing Atlassian Jira/… reusable pipelines across projects. DevOps Tools: GitLab, Jenkins, Ansible, Terraform, JMeter, Squid Proxy, NGINX, AWS services - IAMS, WAFS, SQSBYOK, Helm, Kubernetes, Docker, Ingress, Kafka, Elastic Search, Pega experience is a MUST. Understanding of the Linux Operating System, standard network protocols and security hardening. Proven experience using AWS Cloud Solutions More ❯

design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and logging systems (e.g., ELK stack).Strong problem-solving, organizational, and communication ski lls. Prefe rred: Experience with distributed systems, event-driven architectures, and CQRS/ES patterns. Familiarity with More ❯

design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and logging systems (e.g., ELK stack).Strong problem-solving, organizational, and communication ski lls. Prefe rred: Experience with distributed systems, event-driven architectures, and CQRS/ES patterns. Familiarity with More ❯

design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and logging systems (e.g., ELK stack).Strong problem-solving, organizational, and communication ski lls. Prefe rred: Experience with distributed systems, event-driven architectures, and CQRS/ES patterns. Familiarity with More ❯

design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and logging systems (e.g., ELK stack).Strong problem-solving, organizational, and communication ski lls. Prefe rred: Experience with distributed systems, event-driven architectures, and CQRS/ES patterns. Familiarity with More ❯