Remote Security Data Engineer Lead (Azure)

Edetek Inc.; Quilmes; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Continuous learning

Flexible working

Diverse and inclusive culture

Transformative leadership

Job summary

EY is seeking a Security Data Engineer in Argentina to design and enhance Azure-based data pipelines and security data platforms. You will work with Azure Data Factory, Databricks, Functions and Logic Apps to enable centralized visibility across security tools and enterprise systems.

You will collaborate with Security Architects and Engineering teams to deliver scalable, automated data solutions, improve data quality and support decision-making across multi-cloud environments.

Qualifications

• Detailed knowledge of Azure cloud data engineering, enterprise integrations and data platforms.
• Hands-on experience with Azure Data Factory, SQL development and ETL/ELT frameworks.
• Experience designing enterprise-scale cloud data platforms and analytics for security use cases.
• At least 8 years in Data Engineering; 3+ years in global, virtual environments.

Responsibilities

• Design and maintain ETL/ELT processes and Azure data integration frameworks.
• Build and support data ingestion, orchestration and automation using Azure services.
• Collect, transform and analyze data from enterprise systems and cloud platforms.
• Develop SQL-based pipelines, data models and reporting solutions for security needs.
• Collaborate with cross-functional teams to onboard data sources and deliver scalable integrations.
• Maintain data platforms with monitoring, automation and upgrades.
• Document architecture and data flows.

Skills

Data engineering

Stakeholder management

Problem solving

Education

Bachelor's degree in CS/Engineering/IT/Math

Tools

Azure Data Factory

Azure Databricks

Azure Functions

Logic Apps

SQL Server

Python

PowerShell

Ansible

Azure AI Foundry/OpenAI

Job description

EY is seeking a Security Data Engineer in Argentina to design and enhance Azure-based data pipelines and security data platforms. You will work with Azure Data Factory, Databricks, Functions and Logic Apps to enable centralized visibility across security tools and enterprise systems.

You will collaborate with Security Architects and Engineering teams to deliver scalable, automated data solutions, improve data quality and support decision-making across multi-cloud environments.