1 to 25 of 80 Elastic Stack Jobs in the West Midlands

Compliance Managers. CIS encourages engagement across different areas of the business and local communities. We are seeking a skilled SIEM Engineer with expertise in Elastic SIEM to join our cybersecurity team. The ideal candidate will design, implement, and maintain our Elastic SIEM infrastructure to ensure effective security monitoring … history for the past 3 years, and a criminal record check (Disclosure and Barring Service). Your role Design and Implementation: Install and maintain Elastic SIEM architecture for optimal performance and scalability. Monitoring and Analysis: Create dashboards and visualizations using the Elastic Stack for real-time … to work. Capgemini is committed to building a diverse and welcoming workplace. Your skills and experience Proficiency with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Strong understanding of cybersecurity principles and practices Experience with scripting and automation (Python, Shell) Excellent problem-solving, analytical, communication, and teamwork skills Experience More ❯

Compliance Managers. CIS encourages engagement across different areas of the business and local communities. We are seeking a skilled SIEM Engineer with expertise in Elastic SIEM to join our cybersecurity team. The ideal candidate will design, implement, and maintain our Elastic SIEM infrastructure to ensure effective security monitoring … history for the past 3 years, and a criminal record check (Disclosure and Barring Service). Your role Design and Implementation: Install and maintain Elastic SIEM architecture for optimal performance and scalability. Monitoring and Analysis: Create dashboards and visualizations using the Elastic Stack for real-time … to work. Capgemini is committed to building a diverse and welcoming workplace. Your skills and experience Proficiency with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Strong understanding of cybersecurity principles and practices Experience with scripting and automation (Python, Shell) Excellent problem-solving, analytical, communication, and teamwork skills Experience More ❯

encourage our staff to engage with other areas of the business and local communities. We are seeking a skilled SIEM Engineer with expertise in Elastic SIEM to join our cybersecurity team. The ideal candidate will be responsible for designing, implementing, and maintaining our customers Elastic SIEM infrastructure to … ensure robust security monitoring and incident response capabilities. Embedded with an existing Customer SOC, you will provide Engineering support and expertise for the customers Elastic SIEM implementation, working alongside Capgemini SOC analysts and the customer SOC team. This role is required to be onsite 5 days per week in … working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience Proficiency in Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). Strong understanding of cybersecurity principles and practices. Experience with scripting and automation (e.g., Python, Shell scripting). Excellent problem-solving, analytical skills 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 ❯

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 ❯

you are interested share you resume Sreeja.j@ampstek.com Role: Elastic Search Engineer Location: Birmingham (Hybrid) Duration: Contract - Inside IR35 Experience required • Elastic • Kibana • Logstash(ELK) • Candidate should have 8 years of relevant experience in ELK •S/He should be able to develop/build the required pipeline … for data ingestion using Logstash component • S/He should have implantation experience in ELK • If candidate has just done monitoring of existing ELK setup , that will not be useful. • Candidate should have exposure to cloud and Kafka • Also should have exposure to security domain • Strong understanding of elastic - elastic search , Kibana , logstash , Fleet and other integrations • Data Engineering skill set to design and develop pipelines to ingest data into Elastic • Cloud & Domain aware Candidate will be responsible • Building all the required pipeline for data ingestion • Setting up ELK stack • Analyzing and sharing insight More ❯

you are interested share you resume Sreeja.j@ampstek.com Role: Elastic Search Engineer Location: Birmingham (Hybrid) Duration: Contract - Inside IR35 Experience required • Elastic • Kibana • Logstash(ELK) • Candidate should have 8 years of relevant experience in ELK •S/He should be able to develop/build the required pipeline … for data ingestion using Logstash component • S/He should have implantation experience in ELK • If candidate has just done monitoring of existing ELK setup , that will not be useful. • Candidate should have exposure to cloud and Kafka • Also should have exposure to security domain • Strong understanding of elastic - elastic search , Kibana , logstash , Fleet and other integrations • Data Engineering skill set to design and develop pipelines to ingest data into Elastic • Cloud & Domain aware Candidate will be responsible • Building all the required pipeline for data ingestion • Setting up ELK stack • Analyzing and sharing insight 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 ❯

Configuration, deployment and maintenance of Elastic Stack on Kubernetes (ECK) Work with log Collection Tools and Technologies (Beats, Elastic Agent, Logstash), syslog and other data collection protocols DevOps/SysOps Engineering collaborating with cross-functional teams (development, operations, and QA) to streamline software delivery and automating … ability to drive through change Excellent team working skills including the ability to work effectively within a geographically disparate team Advantageous: SIEM Experience with Elastic Stack (ELK) Knowledge of ArgoCD, Terraform Knowledge CI/CD tools Ansible, Circle CI, Jenkins, Parker, Terraform Knowledge of Offensive testing frameworks More ❯

Configuration, deployment and maintenance of Elastic Stack on Kubernetes (ECK) Work with log Collection Tools and Technologies (Beats, Elastic Agent, Logstash), syslog and other data collection protocols DevOps/SysOps Engineering collaborating with cross-functional teams (development, operations, and QA) to streamline software delivery and automating … ability to drive through change Excellent team working skills including the ability to work effectively within a geographically disparate team Advantageous: SIEM Experience with Elastic Stack (ELK) Knowledge of ArgoCD, Terraform Knowledge CI/CD tools Ansible, Circle CI, Jenkins, Parker, Terraform Knowledge of Offensive testing frameworks More ❯

Agree personal goals with the Team Lead for the year and work towards achieving these. Skills Required for the Role Security and Compliance with Elastic Security: Set up access controls, authentication, and encryption using Elastic Security features. Ensure compliance with data protection regulations. Detection Rule Development: Ability to … test, and optimise detection rules to identify suspicious activities and potential threats based on the MITRE ATT&CK Framework Performance Tuning with Elasticsearch and Logstash: Fine-tune query performance using Elasticsearch indices and mappings. Monitor Logstash pipelines and optimize resource utilization. Kibana Visualization and Monitoring: Leverage Kibana for data visualization … quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring, data enrichment. ETL Processes with Logstash: Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. Beats for Data Collection More ❯

personal goals with the Team Lead for the year and work towards achieving these. Skills Required for the Role Essential: Security and Compliance with Elastic Security: Set up access controls, authentication, and encryption using Elastic Security features. Ensure compliance with data protection regulations. Detection Rule Development: Ability to … test, and optimise detection rules to identify suspicious activities and potential threats based on the MITRE ATT&CK Framework Performance Tuning with Elasticsearch and Logstash: Fine-tune query performance using Elasticsearch indices and mappings. Monitor Logstash pipelines and optimize resource utilization. Kibana Visualization and Monitoring: Leverage Kibana for data visualization … quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring, data enrichment. ETL Processes with Logstash: Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. Beats for Data Collection More ❯

the provisioning and management of infrastructure resources. • Monitoring and Observability: Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk is crucial for monitoring system performance, analyzing logs, and troubleshooting issues. • Continuous Integration and Continuous Deployment (CI/CD): Experience with CI More ❯

and management of containerized applications. Implement best practices for Kubernetes configuration and security. Work with log Collection Tools and Technologies (Beats, Elastic Agent, Logstash), syslog and other data collection protocols. DevOps/SysOps Engineering collaborating with cross-functional teams (development, operations, and QA) to streamline software delivery and automating … the ability to drive through change. Excellent team working skills including the ability to work effectively within a geographically disparate team. Advantageous: SIEM Experience Elastic Stack (ELK). Knowledge of Argo, Terraform. Knowledge CI/CD tools Ansible, Circle CI, Jenkins, Parker, Terraform. Knowledge of Offensive testing … years of experience in CI/CD engineering experience with a different skillset. Experience in key cyber technologies such as SIEM technologies (Elastic preferred), vulnerability management, access management and other commonly used Enterprise security controls. Ideally from both a development and operational perspective. At BT, we entertain, educate, and 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 ❯