Security Data Engineer - Assistant Director

About the role

EY's Information Security team protects its own and its clients' information assets, blending risk strategy, digital identity, cyber defense, application security and technology service solutions. As a Security Data Engineer within Security Technology Services, you will join a global team that engineers, integrates and enhances security data platforms supporting EY's multi-cloud and on-premises environments. You will work primarily on Azure, building scalable data ingestion, integration, automation and analytics capabilities.

Key responsibilities

• Design, build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks across multiple cloud environments
• Build and support data ingestion, orchestration and automation solutions using Azure Data Factory, Azure Functions, Logic Apps and related services
• Collect, transform, validate, enrich and analyze data from enterprise systems, cloud platforms, APIs, SaaS applications and third-party technologies
• Develop SQL-based data pipelines, database objects, stored procedures, data models, dashboards and reporting solutions
• Partner with Security Architects, Service Delivery, Security Operations and Engineering teams to deliver secure, scalable, data-driven solutions
• Support data platforms through performance tuning, troubleshooting, monitoring, automation, upgrades, cloud migration and change management
• Maintain technical documentation, architecture diagrams, runbooks and data flow documentation

Required profile

• At least 8 years of experience in Data Engineering, including 3+ years in large, global and virtual enterprise environments
• Practical experience as a Data Engineer in a large Azure environment, with strong knowledge of analytics and reporting
• Experience integrating large amounts of security data across multiple cloud environments from security and non-security tools
• Ability to work across engineering, infrastructure, operations, security, architecture and business teams, and to communicate technical concepts in business terms

Required skills

• Azure Databricks, data warehousing, data lake architecture and Azure native data platforms
• Microsoft SQL Server (SSDT, SSRS, SSIS), stored procedures and reporting frameworks
• REST API integrations and web services consumption
• Infrastructure-as-Code, DevOps, CI/CD and cloud automation
• Monitoring and alerting for cloud services, data pipelines and automation workflows
• Power BI dashboards and reports; Azure AI Foundry/Azure OpenAI a plus