Data Engineer (Medtech)

TL;DR

Data Engineer (Medtech): Building and optimizing scalable data pipelines for 3D dental scan processing with an accent on Python, PySpark, and Azure Databricks infrastructure. Focus on enabling real-time and batch data processing solutions while collaborating with product and data science teams to drive medical technology innovations.

Location: Based in Skopje, North Macedonia (Hybrid-remote flexibility)

Company

hirify.global is an innovative global company dedicated to improving dental patient care and diagnostics through advanced 3D scanning software and AI-driven workflows.

What you will do

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Optimize and automate data workflows using Python, PySpark, and Databricks.
• Collaborate with Product Management to translate business requirements into actionable data strategies.
• Monitor data infrastructure performance and troubleshoot related issues.
• Implement data governance, security, and compliance best practices.
• Contribute to the evolution of the overall data architecture.

Requirements

• 4+ years of experience in data engineering or related roles.
• Strong proficiency in Python, PySpark, Databricks, and Azure cloud services.
• Solid understanding of SQL, database design, and data modeling principles.
• Experience with ETL processes and pipeline orchestration.
• Familiarity with Git version control systems.
• English proficiency: written and verbal required.

Culture & Benefits

• Innovative work environment in an international company.
• Focus on work-life balance.
• Private health insurance.
• Collaboration with a team of top-tier professionals.
• Flexible hybrid-remote work arrangements.