Job Description
Siemens Mobility (SMO) is the world’s leading provider of mobility solutions that enable the efficient, safe, and environmentally friendly transport of people and goods - and help improve the quality of everyday life for millions of people on all continents. Motivated by innovation, we develop intelligent solutions for the growing digitalization of the transport sector. Our range of offerings includes rail vehicles, rail automation, road traffic management systems, rail electrification and services. Today, we are recruiting for a Digitalization Engineer to join our team in Saudi Arabia. This is an excellent career opportunity for professionals looking to join a truly international team in one of the biggest projects of Siemens Mobility. What are my responsibilities? Analyze existing processes within the driverless metro project and design solutions that leverage digital technologies (AI, machine learning, automation) to optimize workflows and solve recurring challenges. Develop and implement solutions using various technologies, including programming languages, Power BI for dashboards, and other tools that integrate data from multiple sources. Implement AI and machine learning algorithms where applicable to improve decision-making and automate routine tasks. Build and maintain dashboards that provide real-time progress tracking and key performance indicators by connecting different data sources. Work closely with internal teams to gather their ideas for digital improvements and evaluate their current processes. Facilitate workshops or discussions to encourage the sharing of ideas. Conduct evaluations of current workflows and propose new ideas and enhancements to continually improve processes within the driverless metro system. Take ownership of the entire lifecycle of digital solutions, from conceptual design to final, user-friendly product implementation. Utilize data insights to monitor system performance and identify further opportunities for optimization. Document solutions and present regular reports on progress, project milestones, and outcomes of implemented digital tools. What do I need to qualify for this job? Bachelor’s degree in Computer Science, Information Technology, or any related fields. 3-5 years of experience with data management and system integration for reporting and automation purposes. Proficiency in programming languages (e.g., Python, Java, etc.) and tools such as Power BI for dashboard creation. Knowledge in AI/ML technologies and applying them to solve business problems. Knowledge in digital process optimization, system integration, and automation. Strong problem-solving skills, with the ability to work independently and lead projects. Excellent communication skills, with the ability to engage stakeholders and collaborate with diverse teams. Ability to analyze data from multiple sources and provide actionable insights. Fluency in both written and spoken English. What else do I need to know? As a world leader in developing and producing the most advanced technologies, we improve lives and further human achievements worldwide, while also protecting the climate - all thanks to our employees. Working with us, you have the foundation to develop personally and professionally. We give you the chance to do something significant, that benefits society and human progress. We give you the chance to create a difference. At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds Diversity at Siemens is our source of creativity and innovation. Having different types of talent and experiences makes us more ambitious and better prepared to respond successfully to the demands of the Society. Therefore, we value the candidates that reflect the Diversity that we enjoy in our Company. Please find more information at www.siemens.com We are looking forward to receiving your online application. Please note: Only complete applications can be considered in the selection process.
