Security Data Engineer
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OverviewAs Security Data Engineer you will help shape the security data ecosystem at adidas, enabling Cyber Defense with reliable, timely data.
You will own the data architecture, data lake governance, and SIEM data pipelines, delivering insights to protect the business.
You'll drive automation, AI orchestration, and modern data platforms to support security analytics and reporting.
This role blends engineering rigor with a security-first mindset in a fast-moving, global team.
Compensaciones / BeneficiosHybrid work setup (40% onsite)
Competitive salary and benefits
International career opportunities
Individual development and training
Tech community
Discounts on adidas products
ResponsabilidadesDefine and maintain target state security data architecture for scale
Manage Security Data Lake: design, governance, and lifecycle
Engineer SIEM data pipelines: onboarding, enrichment, QA, operations
Oversee end-to-end data ingestion and processing across platforms
Support reporting/analytics for KPI dashboards and operational insights
Manage Vulnerability Data from multiple sources and integrate
Develop automation capabilities: workflows, playbooks, automated responses
Support AI orchestration environments and model execution pipelines
Drive continuous improvement of data/workflow platforms
Produce operational and strategic data-driven leadership reports
Requisitos principales5+ years IT experience in security data engineering, platform engineering, SOC, or related domains
Strong interpersonal and communications skills, fluent English
Proficiency in security data engineering (ETL/ELT, pipelines) or data governance or SIEM platforms or automation/orchestration (SOAR, scripting, Python) or data/AI security architecture or cloud data platforms (AWS, Azure) or security analytics and reporting
Proactive
Collaborative
Solution-oriented
Security data engineering (ETL/ELT, pipelines)
Data management & governance
SIEM platforms
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