Splunk Engineer (Contract->Perm)
Client: Investment Bank
Location: London, hybrid 4 days reducing to 3 days at permanent conversion.
Job Title: Splunk Engineer
Role specifics: Initial 6 month contract, then converting to permanent staff.
Rate: TBC
Conversion Salary: Up to £85k + Bonus
You will be responsible for:
- Working with stakeholders to understand monitoring, alerting, and reporting requirements.
- Designing Splunk use cases from log sources and event data.
- Onboarding new log sources into Splunk.
- Configuring indexes, sourcetypes, field extractions, parsing, and data inputs.
- Building searches, dashboards, alerts, and reports in Splunk.
- Monitoring event types and identifying patterns, anomalies, or operational risks.
- Creating correlation rules and alerts based on specific log activity.
- Supporting log ingestion from applications, infrastructure, security tools, and network devices.
- Ensuring logs are correctly structured, indexed, and searchable.
- Documenting use cases, data flows, alert logic, and operational procedures.
- Working with security, infrastructure, and application teams to improve observability and detection capability.
Required Skills & Experience
The successful candidate should have:
- Strong hands-on experience with Splunk Enterprise or Splunk Cloud.
- Experience building Splunk use cases from raw log data.
- Good understanding of log indexing, sourcetypes, event types, and field extraction.
- Ability to onboard and troubleshoot log sources.
- Experience creating dashboards, alerts, reports, and correlation searches.
- Understanding of monitoring, alerting, and event management.
- Ability to analyse logs and identify meaningful events or patterns.
- Experience working with technical teams to gather requirements and translate them into Splunk searches or dashboards.
- Strong documentation and communication skills.
- Splunk Enterprise Security.
- Security monitoring or SIEM use cases.
- Windows, Linux, network, firewall, application, or cloud logs.
- Syslog, APIs, forwarders, and data ingestion pipelines.
- Regex and field extraction.
- Incident response or SOC environments.
- Data models, CIM compliance, and accelerated searches.
- ITSI or observability tooling.