AI-Powered Data Engineer for Marketing Analytics

Power Digital Marketing; Argentina; Presencial; ARS 90.569.000 - 144.910.000; Jornada completa

Descripción de la vacante

Power Digital Marketing seeks a data engineer to own end-to-end data pipelines, modeling, and data marts for client analytics and AI initiatives. You’ll work with multi‑tenant datasets across platforms and teams, designing scalable data foundations that power BI and AI workflows.

Responsibilities include building robust ingestion, handling API changes, ensuring data quality, and delivering AI-ready data foundations.

Formación

• 3+ years in data or analytics engineering.
• 1+ years owning a dbt project in production.
• Advanced proficiency in Python and SQL, with a focus on production‑grade data pipelines.
• Deep expertise in dbt, including incremental models, tests, and deployments.
• Strong command of Snowflake and cloud data stacks.
• Experience modeling in a multi‑tenant environment.
• Familiarity with marketing data, UTMs, and attribution.

Responsabilidades

• Design, build, and maintain the core data foundation (ingestion, modeling, and data marts) supporting agency, client, internal, and AI consumers.
• Build ingestion that handles API changes, deprecated fields, rate limits, and retroactive restatement of data.
• Model across sources to reconcile spend, impressions, conversions, and revenue across multiple platforms.
• Contribute to client‑bespoke modeling on top of the core layer for client requests.
• Build semantic layers and metric definitions for AI‑generated SQL.
• Use AI‑agentic workflows to accelerate development and document patterns.
• Collaborate with nova product/engineering, AI/innovation, and client teams to translate requirements into data solutions.
• Monitor and resolve data quality issues and optimize pipelines for multi‑client warehouses.

Conocimientos

Python

SQL

dbt

Snowflake

GCP

CI/CD

Data modeling

Herramientas

Git

Airflow

Descripción del empleo

Power Digital Marketing seeks a data engineer to own end-to-end data pipelines, modeling, and data marts for client analytics and AI initiatives. You’ll work with multi‑tenant datasets across platforms and teams, designing scalable data foundations that power BI and AI workflows.

Responsibilities include building robust ingestion, handling API changes, ensuring data quality, and delivering AI-ready data foundations.