Data Security Analyst
4 days ago
Job Profile – Security Data Pipeline, SIEM & Data Engineer Specialist (Log Rationalisation & SOC Onboarding Projects)
Role:
Senior Consultant / Specialist – Security Data Pipeline, Data Lakes, SIEM & Data Engineering
Engagement:
Full-time / Contract
About the Role
We are seeking
an experienced Security Data Pipeline, SIEM & Data Engineer Specialist
to support our Log Rationalisation and SOC Onboarding projects.
This role requires deep expertise in modern security data architectures, large-scale log ingestion, data transformation, and federated search across SIEM and Data Lake platforms. You will help design, implement, and optimise scalable logging and SOC integration architectures to deliver cost efficiency, operational resilience, and readiness for next-gen SOC operations.
Key Responsibilities
- Design and implement
security data pipelines
(e.g., Cribl, Splunk DMX, Kafka-based pipelines). - Architect and optimise
Security Data Lakes
(AWS Security Lake, Snowflake, Delta Lake). - Configure and manage
SIEM platforms
(Splunk, Microsoft Sentinel, or equivalent). - Develop
log rationalisation, enrichment, suppression, and parsing strategies
. - Build and manage
data ingestion frameworks, schema management, and ETL/ELT pipelines
. - Enable
federated search and cross-platform analytics
across SIEMs and data lakes. - Support
SOC onboarding
by integrating SIEM pipelines with SOAR, TI, and case management systems. - Conduct
readiness validation and performance benchmarking
of logging and SOC onboarding architectures. - Provide
knowledge transfer, documentation, and operational playbooks
.
Required Skills & Experience
- 5+ years' experience
in security operations engineering, SIEM, or data platforms. - Data engineering expertise
in log ingestion, schema transformation, and distributed systems. - Strong expertise with at least one
security data pipeline
(Cribl Stream, Splunk DMX, Fluentd, Logstash). - Hands-on experience with
data lakes
(AWS Security Lake, Snowflake, Microsoft Fabric, or Delta Lake). - Proficiency in
SIEM platforms
(Splunk Cloud/Enterprise Security, Microsoft Sentinel). - Strong scripting and automation skills (
Python, SQL, PowerShell
). - Familiarity with
cloud environments
(AWS, Azure, GCP). - Strong experience with
SOC onboarding workflows
and integrations (ticketing, SOAR, TI). - Excellent communication and documentation skills.
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