Descripción de la oferta
Overview
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.
Compensaciones / BeneficiosHybrid work setup (40% onsite)Competitive salary and benefitsInternational career opportunitiesIndividual development and trainingTech communityDiscounts on adidas products
ResponsabilidadesDefine and maintain target state security data architecture for scaleManage Security Data Lake: design, governance, and lifecycleEngineer SIEM data pipelines: onboarding, enrichment, QA, operationsOversee end-to-end data ingestion and processing across platformsSupport reporting/analytics for KPI dashboards and operational insightsManage Vulnerability Data from multiple sources and integrateDevelop automation capabilities: workflows, playbooks, automated responsesSupport AI orchestration environments and model execution pipelinesDrive continuous improvement of data/workflow platformsProduce operational and strategic data-driven leadership reports
Requisitos principales5+ years IT experience in security data engineering, platform engineering, SOC, or related domainsStrong interpersonal and communications skills, fluent EnglishProficiency 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 reportingProactiveCollaborativeSolution-orientedSecurity data engineering (ETL/ELT, pipelines)Data management & governanceSIEM platforms
