Senior Data & Analytics Engineer — Data Pipelines & AI

Agileengine; Buenos Aires; Híbrido; ARS 137.157.000 - 198.116.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine seeks a Senior Data and Analytics Engineer in Buenos Aires to translate stakeholder needs into data transformations using dbt and SQL. You will craft robust data models, build pipelines in Snowflake, and collaborate with product managers and analysts to deliver consumption-ready data.

The role involves partnering with business teams, leveraging AI tools in development, and driving governance and quality standards across data initiatives.

Formación

• 4+ years of experience in data engineering or analytics engineering within a production environment.
• Expert-level Python and SQL skills.
• Extensive hands-on experience building transformation pipelines in dbt Cloud.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Thrives in a process-light environment and communicates with non-technical stakeholders.

Responsabilidades

• Deliver robust data features and pipelines within project teams for fast-paced, business-facing verticals.
• Translate complex business use cases into robust data models using dbt and SQL, aggregating revenue and performance data.
• Build and maintain scalable pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python; transition docs into dbt catalogs.
• Leverage AI tools in the workflow and collaborate with leadership to elevate governance and tool adoption.
• Partner with product managers, data visualization leads, and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

dbt Cloud

Snowflake

GitHub

VS Code

Data pipelines

Communication

Herramientas

GitHub

VS Code

Descripción del empleo

AgileEngine seeks a Senior Data and Analytics Engineer in Buenos Aires to translate stakeholder needs into data transformations using dbt and SQL. You will craft robust data models, build pipelines in Snowflake, and collaborate with product managers and analysts to deliver consumption-ready data.

The role involves partnering with business teams, leveraging AI tools in development, and driving governance and quality standards across data initiatives.