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