OVERVIEW
Releady is partnering with a leading furniture and home furnishings retail company to hire a Data Engineer. This organization is the top-selling furniture brand in North America and is undergoing an AI-first technology transformation, modernizing its data platform to support advanced analytics, machine learning, and business intelligence across a growing retail footprint. The role sits within a Technology and AI Center of Excellence spanning cloud, data, security, and automation.
In this role, you will design, build, and maintain scalable, high-performance data pipelines and infrastructure that power the company's analytics and machine learning initiatives. The work operates primarily within a Microsoft Fabric and Azure ecosystem, driven by Python and PySpark. You will collaborate closely with AI/ML engineers, BI teams, developers, and business stakeholders to ensure data is reliable, accessible, and optimized for downstream use, while contributing directly to the re-architecture and modernization of the company's data platform.
- Employment Type: Full-Time Contract
- Location:



Remote
- Compensation: $2,600 USD / month
- Schedule: Monday-Friday, 40 hours/week; occasional after-hours or weekend work to support deployments.

RESPONSIBILITIES
Data Pipeline Development & Management
- Design, build, and optimize ETL/ELT notebooks and pipelines for ingestion, transformation, and delivery of business-critical data.
- Implement medallion architecture (bronze, silver, and gold layers) to standardize data for downstream consumption.
- Automate data collection, processing, and reporting workflows to improve efficiency and reduce manual effort.
- Ensure high-quality, reliable data through validation, monitoring, troubleshooting, and performance tuning.
- Integrate APIs, data flows, and orchestration processes across the Microsoft ecosystem.

Collaboration & Analytics Enablement
- Partner with AI/ML engineers, BI teams, developers, and business stakeholders to structure

📌 Data Engineer (Bogotá, D.C.)
🏢 Releady
📍 Bogotá, D.C.