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