Security Data Engineer

As 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.

• Hybrid work setup (40% onsite)
• Competitive salary and benefits
• International career opportunities
• Individual development and training
• Tech community
• Discounts on adidas products

• Define 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

• 5+ 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