Remote Data Engineer - AI-Enabled Platform Modernization

Releady; Bogotá ciudad; Hybrid; COP 84,443,000 - 101,146,000; Full time

Job summary

Releady is partnering with a leading furniture and home furnishings retailer to hire a Data Engineer. This role focuses on building scalable data pipelines in a Microsoft Fabric and Azure environment, using Python and PySpark, to power analytics, ML, and BI across a growing retail footprint.

You'll collaborate with AI/ML engineers, BI teams, and stakeholders, contribute to modernizing the data platform, and ensure data quality, governance, and documentation.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years experience as a Data Engineer or in backend/data-intensive systems.
• Expertise in ETL/ELT design and data integration.
• Proficiency in SQL and Python for data processing.
• Hands-on experience with the Microsoft stack: Fabric, Azure, Python, PySpark notebooks, Data Factory, Data Lakes, and SQL Server.
• Familiarity with medallion architecture (bronze, silver, and gold) and modern data warehouses.
• Knowledge of data modeling and version control (Git), and Agile tools (Jira, Confluence).
• Preferred: experience with AI/ML applications, SQL DB administration, and strong statistical fundamentals.

Responsibilities

• Design, build, and optimize ETL/ELT notebooks and pipelines for ingestion, transformation, and delivery of business-critical data.
• Implement medallion architecture to standardize data for downstream consumption.
• Automate data collection, processing, and reporting workflows to improve efficiency.
• Ensure high-quality, reliable data through validation, monitoring, troubleshooting, and performance tuning.
• Integrate APIs, data flows, and orchestration processes across the Microsoft ecosystem.
• Partner with AI/ML engineers, BI teams, developers, and business stakeholders to structure data for analytics and ML initiatives.
• Contribute to re-architecture and modernization of the data platform for scalability.
• Maintain documentation of data models, pipelines, and integrations.

Skills

Data Engineering

ETL/ELT design

SQL

Python

Azure Fabric

Medallion Architecture

Git

Jira & Confluence

Data Modeling

AI/ML experience

Education

Bachelor's degree in CS/Engineering

Tools

Data Factory

Data Lakes

SQL Server

PySpark

Microsoft Fabric

Azure

Job description

Releady is partnering with a leading furniture and home furnishings retailer to hire a Data Engineer. This role focuses on building scalable data pipelines in a Microsoft Fabric and Azure environment, using Python and PySpark, to power analytics, ML, and BI across a growing retail footprint.

You'll collaborate with AI/ML engineers, BI teams, and stakeholders, contribute to modernizing the data platform, and ensure data quality, governance, and documentation.