Senior Data Engineer — AI-Driven Data Platform (Hybrid)

Wunderman Thompson; Buenos Aires; Híbrido; ARS 139.086.000 - 200.903.000; Jornada completa

Descripción de la vacante

VML in Buenos Aires seeks a Senior Data Engineer to design, develop, and evolve scalable data solutions across enterprise sources, enabling reliable analytics and AI initiatives.

You will build end-to-end data pipelines using Microsoft Fabric, Azure, and Power BI, while collaborating with global teams to drive governance and security.

The role requires strong English communication in a hybrid, cross-functional environment with opportunities to lead complex initiatives.

Formación

• 5+ years of experience in Data Engineering, Analytics, BI, or related roles.
• Hands-on with Microsoft Fabric, Azure, SQL Server, Power BI, and enterprise data platforms.
• Advanced SQL skills including tuning, stored procedures, and indexing.
• Experience with ETL/ELT, data pipelines, and workflow orchestration.
• Experience designing Data Warehouses and Data Lakes, and scalable architectures.
• Experience integrating multiple enterprise data sources and APIs.
• Proficiency in Python or PowerShell.
• Knowledge of data governance, security, and data quality.
• Understanding of Microsoft Entra ID, RBAC, DLP is a plus.
• Exposure to AI, Copilot, agentic AI, automation, ML.
• Experience working in global cross-functional environments.
• Strong communication and stakeholder management.
• Advanced written and spoken English.

Responsabilidades

• Design, develop, and optimize scalable enterprise data solutions and architectures.
• Build and maintain end-to-end data pipelines, including data ingestion, transformation, processing, and integration.
• Design and implement solutions using Microsoft Fabric, including Lakehouses, Warehouses, OneLake, Dataflows Gen2, Pipelines, and Notebooks.
• Develop and optimize complex SQL queries, stored procedures, tables, views, and database processes.
• Design and maintain Data Warehouses, Data Lakes, dimensional models, and semantic layers.
• Integrate data from multiple enterprise sources, including CRM systems, marketing automation platforms, Adobe Analytics, operational systems, and APIs.
• Automate data transformation and validation processes using Python, PowerShell, or similar technologies.
• Implement data quality processes to ensure accuracy, consistency, reliability, and traceability.
• Contribute to data governance, security, compliance, and enterprise data standards.
• Support the development of AI-driven and agentic solutions, enabling trusted data foundations for automation and advanced analytics.
• Drive continuous improvement through automation, scalability, and the adoption of emerging technologies.
• Lead complex data initiatives, managing priorities, dependencies, risks, and technical delivery.
• Collaborate with technical and business stakeholders to translate requirements into scalable data solutions.
• Establish and promote engineering best practices across data development, automation, and architecture.
• Mentor and provide technical guidance to junior and mid-level team members.

Conocimientos

Microsoft Fabric

Azure

SQL Server

Power BI

ETL/ELT

Python

Data governance

English

Herramientas

Power BI

Microsoft Fabric

Azure

SQL Server

Descripción del empleo

VML in Buenos Aires seeks a Senior Data Engineer to design, develop, and evolve scalable data solutions across enterprise sources, enabling reliable analytics and AI initiatives.

You will build end-to-end data pipelines using Microsoft Fabric, Azure, and Power BI, while collaborating with global teams to drive governance and security.

The role requires strong English communication in a hybrid, cross-functional environment with opportunities to lead complex initiatives.