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# Security Data and Platform Engineer

- **Company:** Responsibilitiesact
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Software as a Service, Cloud Computing, Information Engineering, Data Governance, Elasticsearch, Intrusion Detection and Prevention, Python (Programming Language), Performance Tuning, Logstash, Software Engineering, Scripting, Google Cloud, Indexer, Data Strategy, Apache Kafka, Data Pipelines
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/security-data-and-platform-engineer/49512685

## About the Role

validation, monitoring and operational workflowsSupport configuration as code and infrastructure as code to improve consistency and scalability across security toolingDrive the development of a security data strategy aligned with business and regulatory requirementsQualificationsStrong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similarExpertise in Elastic data modelling, indexing and performance optimisationExperience designing scalable log collection and processing architecturesKnowledge of data governance, retention and security telemetry across cloud, endpoint and networkExperience with Azure, AWS, GCP or hybrid environmentsStrategic mindset with a focus on long-term data quality and platform evolutionStrong communication skills, with ability to explain complex concepts to technical and non-technical stakeholdersCollaborative approach with experience mentoring others and working across teams to improve security

## Description

Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges. Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you will ensure security data is reliable, high-quality, cost-effective and fit for monitoring, investigation, threat hunting and compliance.Key ResponsibilitiesAct as the technical authority and SME for security data within the Elastic Security ecosystemDesign, implement and maintain scalable security data ingestion pipelines into Elastic SIEMOwn the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sourcesDefine and continuously improve data quality standards to support detection, investigation and threat huntingContribute to the operation, performance and evolution of the Elastic Security platformApply software engineering and scripting skills, for example in Python or Bash, to automate ingestion