[Hiring] Data Engineer @Cooperdyne Tech

Role Description

We’re seeking a Data Engineer to design and optimize data pipelines supporting our Supply Chain, Logistics, and Transportation operations. You’ll work with business and technical teams to integrate, transform, and deliver high-quality data for analytics and reporting.

• Build and maintain data pipelines using Keboola.
• Integrate and model data from multiple business systems.
• Ensure data accuracy, reliability, and scalable performance.
• Collaborate with analysts and engineers to support analytics needs.
• Contribute to documentation, governance, and pipeline automation.

Qualifications

• 5 years of experience in data engineering or data integration.
• Hands-on with Keboola (1 year preferred) or strong experience with similar tools.
• Proficient in SQL and familiar with cloud data platforms such as Snowflake.
• Understanding of APIs, JSON, and data modeling.
• Experience using Azure DevOps Boards in a team-based Agile environment.

Requirements

• Preferred: Experience in Supply Chain, Logistics, or Transportation.
• Python scripting.
• CI/CD and version control (Git).
• Azure DevOps experience managing repositories, pipelines, and software releases.