Data Engineer

About the Role
We’re looking for a Data Engineer to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You’ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.

Key Responsibilities

• Design and maintain data pipelines for large-scale transactional and real-time data
• Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar
• Implement data quality, validation, and monitoring frameworks
• Ensure compliance with data governance and protection regulations
• Optimize data storage and access performance
• Collaborate with AI, product, and backend teams for seamless data delivery

Qualifications

• Bachelor’s in Computer Science, Engineering, or related field
• 5+ years of data engineering experience
• Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)
• Knowledge of both batch and streaming architectures
• Strong understanding of data security and governance

Preferred

• Experience with real-time analytics and industrial or procurement datasets

Job Type: Full-time

Application Question(s):

• Are you available to join immediately?
• How would you rate your English communication skills, spoken and written?
• What are your salary expectations?

Work Location: In person