Databricks Data Engineer (IoT & Cloud Solutions)

Databricks Data Engineer (IoT & Cloud Solutions) Zurich, Switzerland | Hybrid We are currently supporting an innovative Swiss technology company working at the intersection of IoT, cloud data platforms, and sustainability Their cutting-edge solutions help industrial clients monitor infrastructure more intelligently, improve operational efficiency, and reduce environmental impact through advanced technology and scalable data systems. Your Role As a Data Platform Engineer, you will take ownership of scalable IoT data pipelines and cloud-based data infrastructure powering advanced analytics and next-generation algorithms. You will collaborate closely with software engineers, data scientists, and technical stakeholders to build robust, scalable, and high-quality data solutions. Your responsibilities will include: Building and optimizing scalable data pipelines Working with streaming & big data processing frameworks Designing reliable cloud-native architectures Supporting advanced analytics and machine learning initiatives Driving performance, scalability, and data quality Contributing to the evolution of the overall data platform Tech Environment Python PySpark Databricks Azure Cloud Streaming / Big Data technologies Modern DevOps practices What they are looking for Strong hands-on experience with Python & PySpark Experience working with Databricks environments Cloud experience (Azure preferred) Experience building scalable data solutions Proactive mindset with strong ownership mentality Background in Computer Science, Engineering, Physics, or similar technical field Why this opportunity stands out: Real-world impact on sustainability & emissions reduction Modern cloud & big data environment Highly skilled international engineering team Flexible working culture with strong work-life balance Long-term stability + excellent employee benefits Opportunity to shape architecture & technical direction