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Temporary/CasualTechnology

Data Analytics Engineer

Intec Select LtdCity, London🇬🇧United Kingdom

Why this role stands out

This Data Analytics Engineer role offers a fantastic opportunity to shape a data platform from its foundation, providing significant impact and growth potential within a respected financial services firm. You'll thrive here if you possess strong SQL, Python, and Azure skills, enjoy end-to-end data product ownership, and appreciate the flexibility of a hybrid work model. Join a collaborative team and build valuable data solutions that drive business action.

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationCity, London, United Kingdom
ShellSplunkPython

Job description

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)

If the role sounds of interest, feel free to reach out or apply below.

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