Data Engineer for Smart Operations

As a Data Engineer for Smart Operations (Global) at Linde, you will play a crucial role in leading the design, development, and maintenance of enterprise-level data architecture and engineering solutions. Your primary responsibility will be to create scalable, secure, and efficient data access across Lindes global operations. By constructing robust data platforms and pipelines, you will directly contribute to the development and deployment of AI products, fostering innovation, automation, and driving business value across diverse functions and geographies. At Linde, we value our employees and offer a range of benefits to ensure a comfortable and enjoyable workplace environment. These benefits include loyalty offers, annual leave, an on-site eatery, employee resource groups, and supportive teams that foster a sense of community. We are committed to creating a positive work experience for all our employees. Every day at Linde presents an opportunity for learning, growth, and contributing to one of the world's leading industrial gas and engineering companies. Embrace this opportunity by taking your next step with us and joining our team. Linde values diversity and inclusion in the workplace, recognizing the importance of fostering a supportive work environment. We believe that our success is driven by the diverse perspectives of our employees, customers, and global markets. As an employer of choice, we strive to support employee growth, embrace new ideas, and respect individual differences. As a Data Engineer at Linde, your responsibilities will include designing and leading scalable data architectures, developing unified data platforms, building robust data pipelines, leveraging modern data engineering stacks, automating workflows, maintaining CI/CD pipelines, collaborating with stakeholders and IT teams, and continuously improving systems with the latest data technologies. To excel in this role, you should possess a Bachelor's degree in computer science or related Engineering areas, along with 3+ years of experience in manufacturing settings developing data-engineering solutions. You should also have experience in evaluating and implementing data-engineering and software technologies, proficiency in programming languages and frameworks such as SQL, Python, Spark, and Databricks, as well as experience in data storages, developing data solutions, and utilizing data visualization tools. Preferred qualifications include a Masters or PhD degree in Computer Science or related Engineering areas with five (5) years of experience in developing data-engineering solutions. Strong programming skills, knowledge of machine learning theory, and practical development experience are also desirable for this role. Join Linde, a leading global industrial gases and engineering company, and be part of a team that is dedicated to making the world more productive every day. Explore limitless opportunities for personal and professional growth while making a positive impact on the world. Be Linde. Be Limitless. If you are inspired by our mission and ready to contribute your skills and expertise, we look forward to receiving your complete application via our online job market. Let's talk about how you can be part of our dynamic team at Linde.,