Elasticsearch Jobs in Wakefield

4 of 4 Elasticsearch Jobs in Wakefield

.NET Developer

Wakefield, England, United Kingdom
Hybrid / WFH Options
Noir
offers training in: .NET 9, WPF, MVVM, Prism, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban, and MongoDB. You will follow the company's official career progression program, which includes 18 days of dedicated technical More ❯
Posted:

Senior DevOps Engineer

Wakefield, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
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 ❯
Posted:

Senior Data Engineer - Abu Dhabi, UAE

Wakefield, England, United Kingdom
JR United Kingdom
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 ❯
Posted:

Data Engineer ( DV Cleared )

Wakefield, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
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 ❯
Posted: