SIEM Data Engineer: Telemetry & Analytics Pipelines

STATE STREET CORPORATION; Kilkenny; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

State Street Corporation is seeking a SIEM Data Engineer to support onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data. You will work across cyber data platforms such as Splunk and Databricks, ensuring data is accurate, searchable, and delivered on time.

You will collaborate with Cyber Data Analytics, Security Operations, Cloud, and Platform teams to maintain high data quality and reliability.

Qualifications

• 5+ years of experience in SIEM engineering, security data engineering, or log analytics.
• 2+ years of experience with Databricks or data lakehouse platforms.
• Experience onboarding, validating, and troubleshooting security telemetry.

Responsibilities

• Support onboarding of security telemetry from multiple sources.
• Analyze source log formats and define ingestion requirements.
• Configure telemetry pipelines for parsing, masking, enrichment, and routing.
• Route telemetry to Splunk, Databricks, and other platforms.
• Validate data quality in Splunk and Databricks for freshness and completeness.
• Troubleshoot ingestion and data flow issues across sources and pipelines.
• Provide second-line support for operational data engineering issues.

Skills

SIEM data onboarding

Splunk experience

Cribl Stream

Databricks knowledge

Telemetry data understanding

Log formats familiarity

SPL/SQL/Python

Data quality concepts

Documentation & collaboration

Education

Master's or Bachelor's in CS/Cybersecurity/IT/Engineering/Data Analytics

Tools

Splunk

Cribl Stream

Databricks

Fluent Bit/Fluentd/Kafka

Job description

State Street Corporation is seeking a SIEM Data Engineer to support onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data. You will work across cyber data platforms such as Splunk and Databricks, ensuring data is accurate, searchable, and delivered on time.

You will collaborate with Cyber Data Analytics, Security Operations, Cloud, and Platform teams to maintain high data quality and reliability.