Senior Data Engineer — Enterprise Data & AI Platform

Wpp Group

Buenos Aires

Hybrid

ARS 900,000 - 1,500,000

Full time

6 days ago

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Benefits offered by this job

Hybrid work model

Job summary

VML is seeking a Senior Data Engineer to design, build, and evolve scalable data solutions across our enterprise data platforms. You will work with a global team to deliver reliable data pipelines, data governance, and AI-enabled analytics capabilities.

The role emphasizes collaboration with BI, analytics, and technology partners, and supports a hybrid work arrangement. Responsibilities include optimizing data architecture, implementing data quality controls, and driving modernization of the

Qualifications

5+ years of experience in Data Engineering, Data Analytics, BI, or related roles.
Advanced SQL skills with query optimization and indexing strategies.
Experience with ETL/ELT, data pipelines, and workflow orchestration.
Knowledge of data governance, security, and quality principles.

Responsibilities

Design, develop, and optimize scalable data solutions and architectures.
Build end-to-end data pipelines including ingestion, transformation, and processing.
Implement solutions using Microsoft Fabric components like Lakehouses, Warehouses, and Notebooks.
Develop SQL queries, stored procedures, and data models to support analytics.
Collaborate with cross-functional teams to translate business needs into robust data solutions.
Mentor junior team members and promote engineering best practices.