Senior Data & Analytics Engineer - Flexible Pipelines

INGEPSY; Bogotá ciudad; Presencial; COP 390.816.000 - 586.224.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime / Work from home options

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to translate business needs into data transformations using dbt and SQL. You will build robust data models and pipelines to support fast-paced, business-facing verticals across distribution and media channels.

You will collaborate with product managers and data visualization leads, leverage Snowflake, dbt Cloud, GitHub, and Python in a governance-aware environment, and help scale analytics capabilities for Fortune 500 brands and top

Formación

• 4+ years of experience in data engineering or analytics engineering in production environments.
• 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.
• Ability to thrive in a process-light environment typical of data science teams.
• Strong communication skills with non-technical stakeholders.

Responsabilidades

• Deliver robust data features and pipelines within project teams for business-facing verticals.
• Translate business use cases into robust data models using dbt and SQL.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Leverage AI tools in the development workflow and promote governance in tool adoption.
• Collaborate with product managers, data visualization leads, and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

dbt Cloud

Snowflake

GitHub

VS Code

Data Pipelines

Herramientas

dbt Cloud

Snowflake

GitHub

VS Code

Descripción del empleo

AgileEngine is seeking a Senior Data and Analytics Engineer to translate business needs into data transformations using dbt and SQL. You will build robust data models and pipelines to support fast-paced, business-facing verticals across distribution and media channels.

You will collaborate with product managers and data visualization leads, leverage Snowflake, dbt Cloud, GitHub, and Python in a governance-aware environment, and help scale analytics capabilities for Fortune 500 brands and top