IoT Data Engineer - Zurich, Switzerland (Hybride)

Helvetica Partners
Zürich, Switzerland
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Zürich, Switzerland

Tech stack

Azure
Big Data
Cloud Engineering
Data Architecture
Information Engineering
Data Systems
DevOps
Python
Data Streaming
Data Processing
Spark
PySpark
Information Technology
Data Pipelines
Databricks

Job description

IoT Data Engineer - Zurich, Switzerland (Hybrid)

We are looking for an IoT Data Engineer with Databricks experience. This role comes with flexible home office options.

Ideal Profile:

  • Bachelor's or Master's degree in Computer Science, Engineering, Physics, or a related technical field
  • Strong hands-on experience in Data Engineering and large-scale data processing
  • Excellent knowledge of Python and modern data architectures
  • Solid experience with Databricks and Azure environments
  • Proactive mindset with a strong willingness to shape and improve solutions
  • Team player eager to contribute within an innovation-driven environment

Required Qualifications:

The most important things are:

  • At least 3 years as a Data Engineer acquired in an industrial context/company.
  • At least 3 years of experience with Databricks and/or Apache Spark
  • Python Expert
  • MS Azure Knowledge

Your Mission:

As part of a highly skilled engineering and data team, you will play a key role in building and evolving scalable cloud-based IoT data platforms. Your responsibilities will include:

  • Designing, developing, and maintaining robust data pipelines
  • Ensuring high-quality, scalable, and reliable data processing flows
  • Working closely with Data Scientists and Software Engineers
  • Contributing to the architecture of modern cloud and data solutions
  • Helping deliver innovative products with real-world sustainability impact

Tech Environment:

  • Python
  • PySpark
  • Databricks
  • Streaming and Big Data technologies
  • Azure Cloud
  • DevOps experience is a plus

Why Join?

  • Innovative Swiss tech company with first-class engineering DNA
  • International environment with global reach
  • Meaningful projects contributing to sustainability and CO2 reduction
  • Modern cloud and IoT ecosystem
  • Flexible working model and attractive benefits
  • Dynamic culture where ideas and ownership are highly valued

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Physics, or a related technical field
  • Strong hands-on experience in Data Engineering and large-scale data processing
  • Excellent knowledge of Python and modern data architectures
  • Solid experience with Databricks and Azure environments
  • Proactive mindset with a strong willingness to shape and improve solutions
  • Team player eager to contribute within an innovation-driven environment, The most important things are:
  • At least 3 years as a Data Engineer acquired in an industrial context/company.
  • At least 3 years of experience with Databricks and/or Apache Spark
  • Python Expert
  • MS Azure Knowledge

Apply for this position