Data Analytics Engineer

Data Analytics Engineer | Splunk & Cribl | SIEM Pipelines We're hiring a Data Analytics Engineer to lead the migration, optimisation and secure operation of log ingestion and observability pipelines, with a focus on moving log sources from Splunk ingestion to Cribl Stream/Edge.

The role Lead the migration of log sources to load-balanced, fault-tolerant Cribl pipelines Design and run resilient pipelines for high ingest volumes (Cribl worker groups, external load balancers, syslog distribution) Onboard, parse and tune security log sources (firewalls, EDR, cloud, authentication, proxies), using data reduction to cut Splunk ingest and storage costs without losing security coverage Build and maintain Cribl and Splunk configs: transformations, field normalisation, masking, enrichment Work with SOC, IR and threat detection teams so security logs reach the SIEM reliably and are tuned for detection Monitor and resolve pipeline and SIEM issues, and report on ingest reduction, cost savings, pipeline health and event loss Document log flows, pipeline topology and operational procedures What you'll bring Strong hands-on Splunk SIEM engineering (indexers, search heads, clustering, forwarders, CIM, performance optimisation) 2+ years with Cribl Stream/Edge, including distributed, load-balanced deployments Solid grasp of log transport (syslog, HEC, TCP, UDP) and balancing strategies in HA logging environments Proven experience onboarding and tuning security log sources for SOC/IR support Advanced SPL, data models, event parsing and alert tuning Scripting skills (Python, shell/CLI or similar) for pipeline management and validation Good troubleshooting skills and experience building monitoring dashboards Details £650 - £750 P/D Initial 6-month contract role (strong likelihood to extend) Hybrid role (2-3 days P/W on-site)

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