Senior/Staff Data Engineer

Company Description

Bosch has been present in Malaysia since 1923, represented by Robert Bosch Sdn Bhd. In Malaysia, Bosch is active in four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The company has three manufacturing sites and research and development offices in Penang, producing automotive electronics, power tools and steering systems, and soon a fourth plant with a final testing centre for sensors and semiconductors. In 2020, Bosch Malaysia generated consolidated sales of RM 518.4 million (108.1 million euros), and currently employs more than 4,000 associates.

PgP5 Plant is Bosch Group’s newest expansion in Malaysia a semiconductor test site in Batu Kawan Penang. The construction has begun in May 2021 and first series of production to commence in 2023. With the long-term forecasts for growth of semiconductor component quantities, coupled with the front-end production in Bosch’s Dresden facility in Germany, capacity expansion is required for the back-end production, which is the final testing phase of semiconductors and sensors. PgP5 will primarily focus on the final testing of components manufactured at Bosch Automotive Electronics’ fab in Dresden, Germany. The plant will also house R&D and training facilities.

Bosch in Malaysia is a part of the Bosch Group, a leading global supplier of technology and services. The Bosch Group’s strategic objective is to deliver innovations for a connected life. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life”.

Job Description

We are responsible for the planning, installation, maintenance and improvement of the Manufacturing Information Technology, Digitalization and Data Warehouse of our Semiconductor Testing facility in Penang (PgP5).

What you'll do:

• Being part of the pioneer team to establish and sustain an efficient Data Warehouse & Data Integration for Data Analytics for our Final Test facility in Penang.
• Working closely with our counterparts from both locally and internationally to build and manage Data Pipeline and ensuring high Data quality for Data Analysis and continuous improvement.  
• Perform evaluation on the data by using deep IT knowledge and contribute to improve Data Engineering quality, accuracy, reliability and stability.
• Responsible for installation, maintenance and improvement of the Data Warehouse, ETL, software components, digitalization and visualization of reports, conducting approval processes and adapting existing processes to functional needs of the new facility.
• Ensure the data are handled securely according to Bosch Data Security requirements.
• Provide excellent IT solutions to our internal customers to support Lean Manufacturing and Lean Management.
• Support the reporting of data and visualization of data to AE and Plant Management.
• Involved in the Bosch Semiconductor Organization IPN for Data Management and Data Engineering as well as in technology transfers from other semiconductor plants and will provide training and technical guidance on Data Engineering and data related issues.
• Supports the training and coaching of team members in field of Data Engineering and Data Warehouse.
  
  

Qualifications

What you need to have to succeed in this role:

• Personality: motivated, strong in communication, cooperative in working with colleagues and external parties, assertive personality, ready to travel on occasional business trips.
• Working Style: independent, result- and quality-oriented and reliable.
• Experience and Knowledge: profound knowledge with relevant practical experience in the field of Data Engineering as well as semiconductor industry experience of at least 3 years; very good knowledge in office applications as well as problem solving techniques and quality methods.; basic technical leadership experience is desired.
• Enthusiasm: interdisciplinary thinking and interest in Leading Edge Semiconductor technology.
• Languages: good proficiency in English language.
• Education: Bachelor Degree or Master Degree in Information Technology or Computer Engineering or any comparable studies on IT and Data Analytics.
• Learning and Development: Open for business trip and able to travel to China and Germany for training

Additional Information

• Flexible working hours
• Leave Entitlement eg: Annual Leave, Medical Leave
• Company Insurances and etc