7 hours ago

Principal Cybersecurity Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead the Data Logistics vertical for a newly formed Cybersecurity Data Engineering & Platform team, architecting ingestion, enrichment, and semantic layers for a centralized security data lakehouse. Drive modernization from legacy SIEM collection (Splunk) to 300+ high-velocity security feeds, scaling pipelines and building data observability and reliability frameworks. Mentor a globally distributed engineering team while structuring security telemetry to enable threat hunting, incident response, and AI-enabled detection platforms.

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Key Responsibilities

•Design and implement ingestion, enrichment, and semantic layers for a centralized security data lakehouse to meet real-time cyber defense requirements.
•Redesign data onboarding and pipeline architecture to scale ingestion from legacy systems (Splunk) to 300+ complex, high-velocity security feeds.
•Architect and deploy data observability, quality, and reliability frameworks to ensure downstream teams trust telemetry fidelity.
•Serve as the technical anchor for the Data Logistics team, mentoring engineers and instilling modern coding and automation practices.
•Structure and model complex security data to enable advanced analytics, data science initiatives, and AI-driven security platforms.

Pay and Benefits

Salary: EUR 104,000 - 156,000 annually

Equity and Bonus:Equity

Key Requirements

•Deep enterprise data engineering experience with strong understanding of cybersecurity operations and security telemetry (e.g., EDR, network logs, threat intel).
•Expert hands-on experience designing and building cloud-native data lakehouses (e.g., Databricks, Snowflake) and supporting real-time streaming plus historical analytics.
•Strong programming skills for data engineering using Python, SQL, Scala, or Go, with distributed processing and orchestration experience.
•Experience scaling ingestion and pipelines to thousands of high-velocity security telemetry sources.
•Hands-on expertise building data observability, automated quality checks, and reliability frameworks with CI/CD and version control.

Experience:CybersecuritySecurity telemetryThreat huntingIncident responseData lakehouseSIEM modernization

Skills:MentoringTechnical leadershipTransformation mindsetData reliability focusComfort with ambiguity

Tech Stack:DatabricksSnowflakeGCPAWSPythonSQLScalaGoApache SparkKafkaAirflowDbtSplunkCI/CDVersion control

Company Brief

Workday

Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn

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Workday

7 hours ago

Principal Cybersecurity Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Key Responsibilities

•Design and implement ingestion, enrichment, and semantic layers for a centralized security data lakehouse to meet real-time cyber defense requirements.
•Redesign data onboarding and pipeline architecture to scale ingestion from legacy systems (Splunk) to 300+ complex, high-velocity security feeds.
•Architect and deploy data observability, quality, and reliability frameworks to ensure downstream teams trust telemetry fidelity.
•Serve as the technical anchor for the Data Logistics team, mentoring engineers and instilling modern coding and automation practices.
•Structure and model complex security data to enable advanced analytics, data science initiatives, and AI-driven security platforms.

Pay and Benefits

Salary: EUR 104,000 - 156,000 annually

Equity and Bonus:Equity

Key Requirements

•Deep enterprise data engineering experience with strong understanding of cybersecurity operations and security telemetry (e.g., EDR, network logs, threat intel).
•Expert hands-on experience designing and building cloud-native data lakehouses (e.g., Databricks, Snowflake) and supporting real-time streaming plus historical analytics.
•Strong programming skills for data engineering using Python, SQL, Scala, or Go, with distributed processing and orchestration experience.
•Experience scaling ingestion and pipelines to thousands of high-velocity security telemetry sources.
•Hands-on expertise building data observability, automated quality checks, and reliability frameworks with CI/CD and version control.

Experience:CybersecuritySecurity telemetryThreat huntingIncident responseData lakehouseSIEM modernization

Skills:MentoringTechnical leadershipTransformation mindsetData reliability focusComfort with ambiguity

Tech Stack:DatabricksSnowflakeGCPAWSPythonSQLScalaGoApache SparkKafkaAirflowDbtSplunkCI/CDVersion control

Company Brief

Workday

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn