Remote Data Engineer: AI & Cloud Pipelines

Keyrus Colombia; Norte; Remote; COP 60,000,000 - 120,000,000; Full time

Benefits offered by this job

100% remote work

International and multicultural proj.

Work with leading Data/Cloud/AI tech

Training programs and professional dev

Career growth and internal mobility

Collaborative, innovative culture

Job summary

Keyrus Colombia is seeking a hands-on Data Engineer, AI & Cloud, to design, build, and maintain reliable data pipelines and data products supporting analytics, enterprise apps, and intelligent systems.

This role emphasizes preparing enterprise data for AI applications, transforming diverse sources into trusted data products, and collaborating with AI/Software engineers to ensure production-ready data access.

Qualifications

• Hands-on experience designing, developing, and maintaining production data pipelines, data models, and ETL/ELT processes.
• Experience with cloud data platforms and building scalable data solutions.
• Experience implementing data quality, testing, monitoring, and security practices in production environments.

Responsibilities

• Design, build, and maintain production data pipelines, data models, and reusable data products that support analytics, enterprise applications, and AI solutions.
• Develop and optimize ETL/ELT processes, integrating structured and unstructured data from databases, APIs, files, and other enterprise sources.
• Implement data quality, testing, monitoring, lineage, and security practices to ensure reliable data in production.
• Prepare enterprise data for AI use cases, including RAG, retrieval systems, semantic context, and evaluation datasets.
• Manage and improve cloud-based data solutions, focusing on scalability, performance, reliability, and cost optimization.

Skills

SQL

Python

ETL/ELT

Data modeling

Data quality

Communication

Tools

Databricks

Snowflake

BigQuery

Redshift

dbt

Airflow

Spark

Job description

Keyrus Colombia is seeking a hands-on Data Engineer, AI & Cloud, to design, build, and maintain reliable data pipelines and data products supporting analytics, enterprise apps, and intelligent systems.

This role emphasizes preparing enterprise data for AI applications, transforming diverse sources into trusted data products, and collaborating with AI/Software engineers to ensure production-ready data access.