Data Engineer

• You will design and lead scalable data architectures to support structured, semi-structured, time-series, and unstructured data across Linde’s global operations
• Develop unified data platforms ensuring secure, governed, and efficient access to enterprise-wide data
• Build and manage robust data pipelines integrating sources like ERP systems, IoT devices, iHistorian, web services, and external APIs
• Leverage modern data engineering stacks (Python, SQL, Spark, Delta Lake, Databricks, Azure) to enable large-scale, high-performance processing
• You will automate workflows and maintain CI/CD pipelines to ensure platform operability, 24/7 availability, and efficient resource utilization
• Collaborate with stakeholders and IT teams to deliver impactful, business-aligned data solutions across functional domains
• Also continuously improve systems by implementing innovations in scalability, maintainability, and performance using the latest data technologies is part of your role

Winning in your role. Do you have what it takes?
 

• You have a Bachelor’s degree in computer science or related Engineering areas with 3+ years of experience in manufacturing settings to develop data-engineering solutions, tools and software applications
• 3+ years of experience evaluating and implementing data-engineering and software technologies
• In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake)  
• Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage - and in developing data solutions, models, API and software applications using SQL, Python and .NET   
• Working knowledge of Azure infrastructure management and resource deployment, system networking and security   and data visualization tools like PowerBI, Grafana, and Tableau
• Preferred qualifications are a Master’s or PhD degree in Computer Science or related Engineering areas with five (5) years of experience in developing data-engineering solutions, tools and software applications
• Strong programming skills and demonstrated ability to work in complex software developments
• Further, you have knowledge of machine learning theory with practical development experience