Security Management, Data Engineer

Security Data Engineer supporting security data platforms integration and enhancement for EY. Collaborating on Azure-based data automation, analysis, and visualization within a global team context.

Posted 7/29/2026full-timeCABA • 🇦🇷 ArgentinaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Azure Cloud Data Engineering, focusing on data ingestion, integration, and analytics to enhance security data platforms. Proficient in designing and managing enterprise-scale data pipelines and automation solutions to improve operational efficiency and decision-making.

Highest-signal resume keywords

Azure Data EngineeringAzure Data FactoryETL/ELT FrameworksSQL DevelopmentData Integration Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData IntegrationCloud AutomationData AnalyticsDatabase TechnologiesAPI-Based ArchitecturesScripting LanguagesEnterprise Reporting SolutionsData ArchitectureNetworking Fundamentals

Soft Skills

Time ManagementOrganizational SkillsDecision-Making Skills

Tools & Technologies

Azure DatabricksAzure FunctionsLogic Apps

Industry Keywords

Security Data PlatformsOperational TechnologyEnterprise Security TechnologiesCompliance Use Cases

Tech Stack

Tools & technologies

AzureCloudETLSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Detailed knowledge of Azure cloud data engineering, enterprise integrations, data platforms, database technologies, networking fundamentals, API-based architectures and scripting languages.
Hands-on experience with Azure Data Factory, SQL development, ETL/ELT frameworks, data integration patterns, cloud automation and enterprise reporting solutions.
Experience designing, supporting and troubleshooting enterprise-scale cloud data platforms, integrations and analytics solutions for operational, compliance or security use cases.
At least 8 years of experience in Data Engineering, 3+ years of demonstrated engineering experience in large, global and virtual enterprise environments.
Strong understanding of Azure cloud technologies, enterprise integrations, and data architecture.
Excellent time management, organizational and decision-making skills.

Benefits

Comp & perks

Continuous learning : You will develop the mindset and skills to navigate whatever comes next.
Success as defined by you : We will provide the tools and flexibility, so you can make a significant impact, your way.
Transformative leadership : We will give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture : You will be accepted for who you are and empowered to use your voice to help others find theirs.