13 of 13 Elasticsearch Jobs in Derbyshire

7+ years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and More ❯

7+ years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and More ❯

Full training will be provided in: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, TDD, BDD, Scrum, Kanban. If you are dedicated to problem solving through intellectual curiosity, collaboration, and commitment, this could be the role for you. More ❯

backend Strong knowledge of Typescript or another typed programming language Good React knowledge Good understanding of MySQL or a similar relational database Experience using Elasticsearch or a similar NoSQL database Experience working with messaging systems/pub-sub Experience writing automated tests Awareness and passion for working in an More ❯

production environments. Experience managing applications with Helm Charts and supporting microservices-based architecture. Applications & Services: Direct experience deploying and supporting Apache NiFi , Elastic ECK (ElasticSearch on Kubernetes) , and Artifactory . Familiarity with container image management and application lifecycle support. Security & Infrastructure: Use of HashiCorp Vault for managing secrets, certificates More ❯

containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis) Has knowledge of infrastructure as code (IaC) using tools such as Terraform Has a strong understanding of networking (VPCs, SGs More ❯

containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis) Has knowledge of infrastructure as code (IaC) using tools such as Terraform Has a strong understanding of networking (VPCs, SGs More ❯

observability of data 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 … with Docker and 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 More ❯

observability of data 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 … with Docker and 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 More ❯

Design, develop, and manage 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 … Essential Skills and Experience: 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 More ❯

to perform complex troubleshoots, working with other infrastructure teams to resolve issues Required Skills Prior experience deploying and managing large-scale data analytics platforms – ElasticSearch (preferred) or Splunk Experience with Cloud integration with a major Cloud Service Provider like GCP, Azure or AWS Infrastructure automation and integration experience, ideally … Git, Jenkins, Jira) Strong analytical and troubleshooting skills Appreciation of Agile methodologies, specifically Kanban Desired Skills Administrator or architect level certifications in Splunk or Elasticsearch Data engineering and configuration experience inc. writing and testing field extractions using regular expressions Familiarity with cybersecurity concepts, event types, and monitoring requirements. #J More ❯

to perform complex troubleshoots, working with other infrastructure teams to resolve issues Required Skills Prior experience deploying and managing large-scale data analytics platforms – ElasticSearch (preferred) or Splunk Experience with Cloud integration with a major Cloud Service Provider like GCP, Azure or AWS Infrastructure automation and integration experience, ideally … Git, Jenkins, Jira) Strong analytical and troubleshooting skills Appreciation of Agile methodologies, specifically Kanban Desired Skills Administrator or architect level certifications in Splunk or Elasticsearch Data engineering and configuration experience inc. writing and testing field extractions using regular expressions Familiarity with cybersecurity concepts, event types, and monitoring requirements. #J More ❯

hold or be eligible 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 … smooth operational handover and 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. More ❯