1 to 25 of 44 Elastic Stack Jobs in the East Midlands

to obtain DV level security clearance *** Responsibilities : 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 … audit readiness. Experience required: Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with More ❯

to obtain DV level security clearance *** Responsibilities : 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 … audit readiness. Experience required: Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with 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 ❯

secure cloud architectures, automate security controls, and ensure compliance with GDS and NCSC security standards. Monitoring & Logging: Use tools like Prometheus, Grafana, ELK Stack, or AWS CloudWatch to monitor system performance and health, ensuring uptime and identifying issues proactively. Automation Support: Assist software engineers by automating repetitive tasks 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 ❯

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 ❯

CDN solutions using multiple cloud vendors (e.g., Azure Load Balancer and Application Gateway). Support the installation and maintenance of a logging cluster using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity More ❯

practices. Familiarity with tools like Jenkins, GitLab CI, CircleCI, Helm, and Terraform. Monitoring & Logging : Familiarity with monitoring and logging solutions (Prometheus, Grafana, ELK Stack, etc.) to ensure the health and performance of Kubernetes-based systems. Leadership Skills : Proven ability to lead and mentor engineering teams, driving projects to 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 ❯

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 ❯