Engineer, Supplier Quality Engineering – Strategic & Innovation

Posted Yesterday
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Hiring Remotely in Bang Pa-In, Phra Nakhon Si Ayutthaya, THA
Remote or Hybrid
Junior
Big Data • Cloud • Hardware • Software
The Role
Supports supplier quality digital transformation by analyzing and visualizing data, developing data pipelines, dashboards, automated reports, and predictive quality tools. The role collaborates with suppliers and cross-functional teams to improve quality performance, promote digital adoption, support Industry 4.0 initiatives, and enable data-driven decision-making. It is intended for early-career candidates with engineering or data-related education and exposure to manufacturing, process improvement, analytics, and Six Sigma.
Summary Generated by Built In
Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • We are seeking a motivated Early Career Talent (ECT) to join the Supplier Quality Engineering (SQE) team with a focus on digital transformation.
  • This role provides a unique opportunity to apply engineering fundamentals, quality systems, data analytics, and Digital tools to transform supplier quality management processes
  • The candidate will work closely with cross-functional teams and suppliers to improve quality performance, drive automation, support the Industry 4.0 journey, and enable predictive quality through data and AI
  • Key responsibility: Collect, analyze, transform, and visualize supplier quality data using Python, SQL, Power BI, or equivalent tools
  • Assist in developing and maintaining data pipelines, digital dashboards, automated reports, and data-driven decision-making tools for SQE, including digital transformation projects
  • Participate in supplier workshops and training to promote digital adoption and continuous improvement

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Qualifications

REQUIRED:

We warmly welcome fresh graduates of a Bachelor's degree, and Early Career Talent with 0–2 years of experience are encouraged to apply.

  • Currently pursuing or recently completed a ​​​​​Bachelor's degree in Data Science, Computer Science, Computer/Software Engineering, Electrical/Electronics Engineering, Mechanical Engineering, or equivalent experience
  • Internship experience in manufacturing, process improvement, or digital transformation
  • Exposure to Six Sigma tools
  • Experience or familiarity with data analytics tools

PREFERRED:

  • Strong knowledge and skills in Python programming and SQL
  • Strong knowledge of database concepts, SQL querying, data modeling, and data transformation
  • Strong skills in data analysis and data processing using Python and SQL
  • Knowledge or experience in Generative AI, LLMs, RAG, and AI Agent development is preferred.

SKILLS:

  • Good knowledge of Data Engineering, including ETL/ELT processes and data pipelines
  • Good knowledge and skills in Machine Learning and Deep Learning
  • Knowledge in Automated Workforce projects and digital transformation
  • Knowledge of Python libraries such as Pandas, NumPy, and Scikit-learn
  • Basic knowledge of web application development, REST API, and backend development
  • Good English communication skills, verbal and written

Additional Information

#LI-SB1

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].

Skills Required

  • Bachelor's degree in Data Science, Computer Science, Computer or Software Engineering, Electrical or Electronics Engineering, Mechanical Engineering, or equivalent experience
  • Internship experience in manufacturing, process improvement, or digital transformation
  • Exposure to Six Sigma tools
  • Experience or familiarity with data analytics tools
  • Strong knowledge and skills in Python programming and SQL
  • Knowledge of database concepts, SQL querying, data modeling, and data transformation
  • Skills in data analysis and data processing using Python and SQL
  • Knowledge or experience with Generative AI, LLMs, RAG, and AI Agent development
  • Knowledge of data engineering, including ETL/ELT processes and data pipelines
  • Knowledge and skills in machine learning and deep learning
  • Knowledge of automated workforce projects and digital transformation
  • Knowledge of Python libraries including Pandas, NumPy, and Scikit-learn
  • Basic knowledge of web application development, REST APIs, and backend development
  • Good English verbal and written communication skills

Western Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Western Digital and has not been reviewed or approved by Western Digital.

  • Strong & Reliable Incentives Strong & Reliable Incentives: Incentive structures in variable‑pay roles are portrayed as well‑designed, and annual or quarterly bonuses are commonly part of total compensation.
  • Healthcare Strength Healthcare Strength: Company materials highlight comprehensive medical, dental, vision, and mental‑health resources, complemented by options like HSA/FSA and disability coverage.
  • Parental & Family Support Parental & Family Support: Caregiving support across life stages and children’s behavioral health resources are featured, with programs such as Bright Horizons referenced for U.S. employees.

Western Digital Insights

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The Company
HQ: Bengaluru, Karnataka
25,132 Employees

What We Do

At Western Digital we create data storage solutions that power the technology of today and inspire the innovations of tomorrow.

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