Software Engineer Intern (Data Analysis)

Nexperia; Hong Kong; On-site; HKD 89,000 - 156,000; Part time

Job summary

ITEC is seeking a Software Engineer Intern (Data Analysis) in Hong Kong for a 1-year contract. You will work on collecting, cleaning and organizing machine and production data to support semiconductor equipment development and validation.

Fresh graduates or candidates with up to 2 years of experience are encouraged to apply. Proficiency in Python and SQL, plus data-processing knowledge, is required. The role offers hands-on learning in a dynamic engineering environment.

Qualifications

• Fresh graduate or up to 2 years of relevant experience.
• Proficiency in Python and SQL, with knowledge of structured and time-series data processing.
• Familiarity with databases, data transformation, dataset versioning and automated data-validation techniques.
• Strong analytical, troubleshooting and technical-documentation skills.

Responsibilities

• Develop tools for collecting, cleaning, validating and organizing machines and production data.
• Implement automated data-quality checks to identify missing, inconsistent, duplicated or abnormal records.
• Build dataset preparation and annotation workflows supporting controlled AI development and system verification.
• Maintain traceability between source data, processed datasets, software configurations and evaluation results.
• Develop data-review utilities and generate data-quality reports for technical validation.

Skills

Python

SQL

Data analysis

Analytical thinking

Time-series data processing

Education

Bachelor’s degree in Computer Science/Data Engineering/Software Engineering/AI or related discipline

Tools

Pandas

Databases

Job description

We are seeking a Software Engineer Intern (Data Analysis) to join our high-tech R&D and engineering team on a 1-year contract basis. This role provides hands-on experience working with machine and production data that supports the development, validation, and continuous improvement of next-generation semiconductor equipment. Fresh graduates and candidates with limited industry experience are welcome to apply. We are looking for individuals with strong analytical skills, a passion for technology, and a willingness to learn in a dynamic engineering environment.

What you will do:

• Develop tools for collecting, cleaning, validating and organizing machines and production data.
• Implement automated data-quality checks to identify missing, inconsistent, duplicated or abnormal records.
• Build dataset preparation and annotation workflows supporting controlled AI development and system verification.
• Maintain traceability between source data, processed datasets, software configurations and evaluation results.
• Develop data-review utilities and generate data-quality reports for technical validation.

What you will need:

• Fresh graduate with bachelor’s degree or above in Computer Science, Data Engineering, Software Engineering, AI or a related discipline.
• Fresh graduates and candidates with up to 2 years of relevant experience are encouraged to apply.
• Proficiency in Python and SQL, with knowledge of structured and time-series data processing.
• Familiarity with databases, data transformation, dataset versioning and automated data-validation techniques.
• Strong analytical, troubleshooting and technical-documentation skills.

Talent acquisition based on ITEC vacancies is not appreciated. ITEC job adverts are ITEC copyright © material and the word ITEC® is a registered trademark. ITEC is an Equal Opportunity/Affirmative Action Employer.

Redefining semiconductor manufacturing At ITEC, we don’t build equipment—we engineer answers to our customers’ challenges, partnering with leading semiconductor companies to keep the world connected. Our high-volume, high-speed, and high-accuracy solutions enable our customers to assemble and test 250 million semiconductors every single day. Working with ITEC means bringing new ideas to life in a dynamic environment where your talents and passion for technology are valued. We work with customers in diverse and multiskilled teams to realize the best solutions. Dedicated to growing sustainably and staying mindful of our corporate and social responsibility, we pride ourselves on our entrepreneurial and innovative approach.