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Ernst & Young

Global professional services: audit, tax, consulting

Data Engineer - Security Management

Data EngineeringConfirmed live in the last 24 hours
Full-timeBuenos Aires, ArgentinaNo salary listedIn-person

About the Job

Requirements

  • 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 integrating large amounts of security and non-security data across multiple cloud environments, primarily Azure.
  • Experience implementing monitoring and alerting for cloud services, data pipelines, integrations and automation workflows.
  • Strong understanding of data engineering principles, including ETL/ELT, data modelling, transformation, lifecycle management, master data management, data warehousing, data lakes and enterprise data architecture.
  • Experience designing scalable, resilient and secure Azure-native data ingestion, integration, automation, analytics and reporting solutions.
  • Hands-on experience with Azure Data Factory, Azure Functions, Logic Apps, Storage Accounts, Azure Key Vault, Azure Monitor, Azure App Services and related integration services.
  • Strong SQL and data analysis experience across relational databases, SQL Server technologies, stored procedures, reporting frameworks and analytics platforms.
  • Ability to work with structured, semi-structured and API-driven data from cloud platforms, SaaS applications, enterprise systems and security technologies.
  • Proficiency in Python, PowerShell or similar scripting languages for automation, cloud operations, data transformation, monitoring and systems integration.
  • Strong understanding of Azure cloud security concepts, including identity and access management, secrets management, encryption, authentication, authorization, secure API integration and governance.
  • Experience developing automated workflows that improve efficiency, data quality, compliance monitoring, platform resilience and service reliability.
  • Knowledge of DevOps practices, including CI/CD, source control, deployment automation, environment management and release processes.
  • Strong troubleshooting and root cause analysis skills across cloud platforms, databases, APIs, data pipelines, automation workflows and enterprise applications.
  • Experience integrating data from various SaaS and on-premises platforms and tools into centralized platforms for reporting, analytics, governance and decision-making.
  • Ability to collaborate across engineering, infrastructure, operations, security, architecture and business teams to deliver end-to-end technical solutions.
  • Experience in data engineering in a large Azure global environment, with strong knowledge of analytics and reporting.
  • 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.
  • At least 3 years of demonstrated engineering experience in large, global and virtual enterprise environments.
  • Strong understanding of Azure cloud technologies, enterprise integrations and data architecture.
  • Ability to document processes, procedures, architecture designs, data flows and technical solutions clearly for internal teams and customers.
  • Experience working with external vendors and suppliers across technology services.
  • Technical proficiency with APIs, automation frameworks and scripting technologies such as Python, PowerShell, Ansible or similar platforms.
  • Strong problem-solving, analytical, decision-making and communication skills; ability to work effectively with culturally diverse onshore and offshore teams, navigate ambiguity and balance security, cloud engineering, data engineering and operational priorities.

Responsibilities

  • Design, build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks across multiple cloud environments, primarily Azure, using 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.
  • Support the implementation and ongoing management of SaaS applications and enterprise security technologies used by Information Security teams globally.
  • Partner 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.

Desired Qualifications

  • Knowledge and exposure to Azure AI Foundry or Azure OpenAI.
  • Knowledge of creating and maintaining Power BI dashboards and reports.
  • A bachelor's degree in computer science, engineering, information technology, mathematics or a related field, or equivalent work experience.
  • Microsoft Azure or technology certification programs.
  • Experience in project management, service introduction, service readiness and technology lifecycle management.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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