Security Management - Data Engineer - EY Integral Delivery Services

Location: CABA

Other locations: Primary Location Only

Date: Jul 29, 2026

Requisition ID: 1728200

Security Management – Data Engineer

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

- Design build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks across multiple cloud environments (primarily Azure) from both security and enterprise tools
- Build and support data ingestion, orchestration and automation solutions using Azure Data Factory, Azure Functions, Logic Apps and related Azure 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 for business, compliance and security needs.
- Partner with cross-functional teams to onboard data sources and deliver scalable integration, automation, reporting and analytics capabilities.
- Support enterprise data platforms through performance tuning, troubleshooting, monitoring, automation, upgrades, cloud migration, change management and continuous improvement.
- Maintain technical documentation, architecture diagrams, operational procedures, support runbooks and data flow documentation.
- Work across multi-cloud environments with Microsoft Azure as the primary platform

The successful candidate will have :

- Experience with Azure Databricks, data warehousing, data lake architecture and Azure native data platforms for large-scale transformation and analytics.
- Exposure to Microsoft SQL Server technologies including SSDT, SSRS, SSIS, relational databases, stored procedures and reporting frameworks.
- Experience developing REST API integrations and consuming web services for enterprise data onboarding and automation.
- Familiarity with Infrastructure-as-Code, DevOps, CI/CD, cloud automation and deployment automation practices.
- Experience with, integrating large amounts of security data across multiple cloud environments (primarily Azure) from both security and non-security tools.
- Experience implementing monitoring and alerting for cloud services, data pipelines, integrations and automation workflows.
- Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.

Skills and Attributes for Success

We are looking for individuals with practical experience working as a Data Engineer in

📌 Security Management (Buenos Aires)
🏢 EY
📍 Buenos Aires