2 of 2 Permanent logstash Jobs in the Thames Valley

ensure scalability, resilience, and 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 & Stewardship: Implement robust data governance, access control … using Apache Kafka. Proficiency 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 practices. Preferred Qualifications: Working knowledge of data More ❯

Your role at Dynatrace What's the role? As a Dynatrace Log Management and Analytics - Solutions Engineer, you will be a key member of the Dynatrace sales engine and will be responsible for providing excellent technical support to the sales More ❯