Data Engineer

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Company Overview

A leading global technology company is seeking a Data Engineer to join its Supplier Industrialization team. This role focuses on building and maintaining supplier intelligence infrastructure that supports real-time monitoring of manufacturing operations, enabling improved quality, efficiency, and production performance. The position offers the opportunity to work with cutting-edge technologies, including Agentic AI, Computer Vision, cloud infrastructure, and advanced data analytics in a fast-paced, collaborative environment.

The organization is seeking a Data Engineer to design, develop, and maintain scalable data infrastructure that enables supplier intelligence across manufacturing operations. The successful candidate will collaborate with suppliers, contract manufacturers, and cross-functional teams to build reliable data pipelines, support real-time production monitoring, and contribute to AI-driven manufacturing initiatives.

This role requires strong technical expertise in data engineering, cloud technologies, workflow orchestration, and analytics. The ideal candidate will help drive continuous improvements by delivering high-quality reporting, actionable operational insights, and scalable data solutions that enhance manufacturing efficiency and product quality.

Key Responsibilities

• Design and maintain supplier industrialization database infrastructure to support large-scale manufacturing data storage and analytics workloads, including numerical and image-based data.
• Build and scale manufacturing data pipelines between suppliers and internal systems.
• Review and approve supplier data schemas to ensure consistency, quality, and standardization.
• Develop hardware and software solutions for edge computing deployed on manufacturing assembly equipment.
• Build and maintain workflow orchestration pipelines using Airflow or similar platforms.
• Implement data quality validation, monitoring, and alerting frameworks to ensure reliable analytics.
• Collaborate with project leadership to define technical requirements and implementation strategies for Agentic AI and Computer Vision initiatives.
• Identify, secure, and integrate internal resources, including AI tools, cloud infrastructure, and platform engineering support, to accelerate system enhancements.
• Deliver real-time reporting, operational dashboards, and advanced analytics to improve manufacturing performance and product quality.
• Work closely with cross-functional engineering teams, suppliers, and manufacturing partners to support scalable production systems.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Industrial Engineering (Data specialization), or a related quantitative discipline, or equivalent practical experience.
• 1–5 years of professional experience in data engineering or a related field.
• Strong proficiency in SQL and Python, including libraries and frameworks such as FastAPI, pandas, Jupyter, matplotlib, NumPy, and SciPy.
• Experience building data pipelines, REST or gRPC APIs, and working with database technologies.
• Familiarity with CI/CD practices and Kafka is preferred.
• Experience using Git or other version control systems.
• Strong communication skills with the ability to translate engineering requirements into scalable data solutions.
• Experience with manufacturing systems and quality management tools is an advantage.
• Familiarity with Agentic AI, Computer Vision, or cloud platforms such as AWS, GCP, or Azure is highly desirable.

Disclaimer

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