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EY Global Delivery Services is seeking a Security Data Engineer to join Security Technology Services. You will design and build scalable data ingestion and analytics pipelines across Azure, enabling centralized visibility for security and enterprise platforms.
Work with Security Architects and Engineering teams to implement Azure Data Factory, Databricks, Functions and Logic Apps, improving data quality and decision-making while supporting on‑prem and multi‑cloud environments.
Today’s world is fueled by vast amounts of information, which means that data is even more valuable than ever before. Protecting data and information systems is central to doing business, and therefore everyone in EY Information Security has an important role to play. Join a global team of almost 1200 people who collaborate to support the business of EY by protecting EY and client information assets. Information Security professionals enable EY to work securely and deliver secure products and services, as well as detect and quickly respond when things go wrong. Together, the efforts of our dedicated team help protect the EY brand and build client trust.
Within Information Security we blend risk strategy, digital identity, cyber defense, application security and technology service solutions as we consider the entire security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting, and enabling the business through secure solutions and information systems.
The Opportunity
As a Security Data Engineer within Security Technology Services (STS), you will join a global team responsible for engineering, integrating and enhancing security data platforms that support EY’s multi-cloud and on-premises environments.
You will develop scalable data ingestion, integration, automation and analytics capabilities that provide centralized visibility across multiple security, and operational technology platforms. Working across Azure, you will use modern cloud-native services and ETL frameworks to onboard, transform, enrich and analyze enterprise data.
The role will also design and support Azure-based data pipelines, automation solutions and reporting capabilities using Azure Data Factory, Azure Databricks, Azure Functions, Logic Apps, and SQL technologies to improve operational efficiency, data quality and decision-making.
You will support the implementation and ongoing management of SaaS applications and enterprise security technologies used by Information Security teams globally. This includes partnering with Security Architects, Service Delivery, Security Operations, Engineering teams and business stakeholders to deliver secure, scalable and data-driven solutions, while providing technical guidance for complex integrations.
Your Key Responsibilities