TTT - Data Engineer - EY Global Delivery Services

Ernst & Young Advisory Services Sdn Bhd; Buenos Aires; Presencial; ARS 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

EY’s GDS Tax Technology team is seeking a Senior Data Engineer to join our Tax Technology practice in Buenos Aires. You’ll develop, optimize and integrate data solutions to support our tax engagements, collaborating with partners and clients to translate complex regulatory needs into robust data pipelines and analytics.

You will work with SQL Server, Azure, Python, PySpark, Data Factory and Power BI to design and implement scalable data models, ETL processes, and data warehousing that support

Formación

• 1-2 Years with Microsoft Fabric
• Python, PySpark, or Spark SQL experience
• Lakehouse and Warehouse experience
• Strong verbal and written communications skills
• Ability to work as an individual contributor
• 4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience
• Experience on Azure Data Factory / SSIS and any other ETL tools
• Experience with Microsoft visual analytics tools (Power BI) and Analysis Services

Responsabilidades

• Strong database programming/backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs
• Strong knowledge in data modeling and Datawarehouse concepts
• Experience on Azure Data Factory or any other ETL
• Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
• Experience on Azure data platform offerings
• Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
• Defines data solutions for business problems by working directly with project managers, seniors and clients
• Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Conocimientos

Python

PySpark

Spark SQL

SQL Server

Azure Data Factory

Power BI

Analysis Services

Microsoft Fabric

ETL

Data modelling

Lakehouse

Herramientas

SSIS

Descripción del empleo

Select how often (in days) to receive an alert:

Select how often (in days) to receive an alert:

Location: CABA

Other locations: Primary Location Only

Date: Aug 20, 2026

Requisition ID: 1659036

EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking aData Engineer - Seniorto join our Tax Technology practice.

Key Responsibilities

• Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
• Strong knowledge in data modeling and Datawarehouse concepts.
• Experience on Azure Data Factory or any other ETL
• Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
• Experience on Azure data platform offerings.
• Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
• Defines data solutions for business problems by working directly with project managers, seniors and clients
• Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Qualification & Experience Required

• 1-2 Year(s) with Microsoft Fabric
• Python, PySpark, or Spark SQL experience
• Lakehouse and Warehouse experience
• Strong verbal and written communications skills
• Ability to work as an individual contributor.
• 4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience.
• Experience on Azure Data Factory / SSIS and any other ETL tools.
• Experience with Microsoft visual analytics tools (Power BI) and Analysis Services.

Nice to have:

• Experience with Agentic Coding & building new agents

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Provider

Description

Enabled

SAP as service provider

• "route" is used for session stickiness
• "careerSiteCompanyId" is used to send the request to the correct data center
• "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor

LinkedIn