Back to jobs

Industrial Trainee - Basic Data Management

Kulim, Kedah, MY

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Validate data quality for manufacturing equipment data

  • Explore and roll out digitalization workflow automation for assigned tasks

From the employer’s posting
Data Quality validation and responsible for manufacturing equipment data
Explore and roll out digitalization workflow automation for assigned tasks

What you’ll bring

All qualifications

Core experience

  • Technical degree in an engineering or related discipline
  • Expertise in Python and SQL
  • Experience with KNIME, OutSystems, RTD
  • CGPA of at least 3.00
Qualification wording
Technical degree in an engineering discipline
Expertise in Python and SQL
Expertise in Python and SQL,KNIME, Out systems, RTD
CGPA must be at least 3.00 and above

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
#WeAreIn for jobs that impact everyone's life. Transforming data into decisions, are you ready to shape the future? As a Industrial Trainee - Basic Data Management in the Software & Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges. Are you in? Your role Key responsibilities in your new role Strong desire to grow a career as a Data Engineer and in Data Management, focus in productivity improvement in highly automated industrial manufacturing. Data Quality validation and responsible for manufacturing equipment data. Explore and roll out digitalization workflow automation for assigned tasks. Your profile Qualifications and skills to help you succeed Technical degree in an engineering discipline(Manufacturing Study, Data Engineer, Data Science, Computer Science, Mathematic, Electrical & Electronics or other related areas) Data engineer, data scientist, Machine Learning, data management Expertise in Python and SQL,KNIME, Out systems, RTD Team up for best result, Drive value through innovation, Be passionate about profit CGPA must be at least 3.00 and above. #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Posting record

Report an error
Status in our records
Live
First seen by us
Aug 18, 2026 · 74 days ago
Recorded sightings
53
Last seen by us
Oct 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

Check the employer’s posting for the current role and application details.

Already applied? Track this application

Job description

View original posting ↗

#WeAreIn for jobs that impact everyone's life. Transforming data into decisions, are you ready to shape the future? As a Industrial Trainee - Basic Data Management in the Software & Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges. Are you in?  Your role Key responsibilities in your new role  Strong desire to grow a career as a Data Engineer and in Data Management, focus in productivity improvement in highly automated industrial manufacturing.  Data Quality validation and responsible for manufacturing equipment data. Explore and roll out digitalization workflow automation for assigned tasks. Your profile Qualifications and skills to help you succeed  Technical degree in an engineering discipline(Manufacturing Study, Data Engineer, Data Science, Computer Science, Mathematic, Electrical & Electronics or other related areas) Data engineer, data scientist, Machine Learning, data management Expertise in Python and SQL,KNIME, Out systems, RTD  Team up for best result, Drive value through innovation, Be passionate about profit CGPA must be at least 3.00 and above.  #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.  Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Kulim, Kedah, MY

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting