Senior Data Engineer - Enterprise Data & AI Pipelines

Wundermanthompson; Buenos Aires; Híbrido; ARS 2.400.000 - 4.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

VML is seeking a Senior Data Engineer to design, build, and evolve scalable data solutions across enterprise platforms. You will own end-to-end pipelines, optimize data warehouses and lakes, and integrate diverse data sources including CRM, marketing automation, and analytics tools.

The role emphasizes collaboration with global teams, adherence to data governance and security standards, and mentorship for junior engineers in a hybrid office setup.

Formación

• 5+ years of experience in Data Engineering, Data Analytics, BI, or related roles.
• Strong hands-on experience with Microsoft Fabric, Azure, SQL Server, Power BI, and enterprise data platforms.
• Advanced SQL skills including optimization, procedures, and indexing strategies.
• Experience with ETL/ELT, data pipelines, and workflow orchestration.
• Experience designing Data Warehouses, Data Lakes, and dimensional models.
• Experience integrating multiple data sources and APIs.
• Proficiency in Python, PowerShell, or similar scripting languages.
• Knowledge of data governance, security, and data quality principles.
• Understanding of data security concepts is a plus.
• Exposure to AI, Copilot, or intelligent automation is valued.
• Experience working in global, cross-functional teams.
• Excellent communication and stakeholder management in English.

Responsabilidades

• Design, develop, and optimize scalable data solutions and architectures.
• Build end-to-end data pipelines for ingestion, transformation, and integration.
• Implement solutions using Microsoft Fabric: Lakehouses, Warehouses, OneLake, Dataflows Gen2.
• Develop and optimize complex SQL queries, procedures, and database objects.
• Design and maintain Data Warehouses, Data Lakes, and semantic layers.
• Integrate data from CRM, marketing automation, Adobe Analytics, and APIs.
• Automate data transformation and validation using Python or similar tools.
• Contribute to data governance, security, and standards.
• Support AI-driven and agentic data solutions for automation and analytics.
• Lead complex data initiatives with priorities, risks, and delivery management.
• Mentor junior team members and promote engineering best practices.

Conocimientos

Microsoft Fabric

Azure

SQL Server

Power BI

ETL/ELT

Python

Data governance

English

Herramientas

Notebooks

Descripción del empleo

VML is seeking a Senior Data Engineer to design, build, and evolve scalable data solutions across enterprise platforms. You will own end-to-end pipelines, optimize data warehouses and lakes, and integrate diverse data sources including CRM, marketing automation, and analytics tools.

The role emphasizes collaboration with global teams, adherence to data governance and security standards, and mentorship for junior engineers in a hybrid office setup.