STMicroelectronics

Data Engineer

STMicroelectronics
SG SG
Onsite 2026-07-03

Job description

**OUR STORY** **At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.** **When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.** **Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.** **Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.** **YOUR ROLE** * Extraction of data from various data source systems, transformation into the staging area, loading into database, data warehouse or data lake systems. * Ensure quantitative and qualitative access to data sources. * Ensure availability of data and guarantee quality of its use in\-order\-to facilitate its exploitation by Data analysts and Data scientists. * Scope of intervention is focused on application systems around data management and processing and on Big Data, IoT platforms. * Use of analytic applications, techniques, and statistical methods to organize, synthesize and translate data efficiently. * Conduct statistical studies, carry out analyses on available data sources in order to produce value. * Drives analysis to solve a problem and/or satisfy a business need. **YOUR SKILLS \& EXPERIENCES** * Bachelor's/ Master's degree in Computer Science, Information Technology or Engineering, or equivalent * 2 to 5 years of experience involving a full Software Development Life Cycle model. * Prior experience with Data pipelining an