Data engineer Jobs in Stäfa

Salary : CHF 120’000 - 150’000 per year

Requirements :

• You have a university degree in computer science or comparable experience.
• You have a valid Swiss working permit.
• At least 5 years of hands-on experience with distributed systems like Apache Kafka, Spark, Flink or Trino.
• At least 5 years of experience working with Data Warehouses or disitrbuted storage systems like S3 Object Stores, Apache HDFS or Hive.
• Strong expertise of IaC principles, and with working knowledge of Ansible, Puppet or Helm.
• Hands-on experience with Container platforms as OpenShift or Kubernetes.
• Solid experience of Linux administration, especially on-prem systems.
• Proven experience as a DevOps Engineer, with strong skills in building and managing infrastructure.
• Fluent in German or French. English proficiency.
• Willingness to work 2-3 days per week in the Zürich office.

Responsibilities :

You design, build, operate, and maintain modern data analytics platforms.

You automate platform lifecycles according to Infrastructure as Code (IaC) principles.

You contribute to data engineering development activities.

You are also responsible for checking, auditing, and troubleshooting existing solutions and system architectures.

You get involved in Scigility internally, e.g. :

Help shape our technology strategy

Participate in pre-sales activities

Be a mentor for new-joiners

Technologies :

Ansible

DevOps

Flink

Helm

Hive

Support

Kafka

Kubernetes

Linux

OpenShift

Puppet

Spark

More :

At Scigility, academic and practical know-how come together to create a unique data & AI service offering - for diverse and cross-industry customers in Switzerland. We define, build, and operate integrated holistic Data & AI platforms, develop applications to gain new insights into data and offer support within the legal framework.

Through close cooperation with universities and technology providers, the SME always stays up to date with the latest innovations. But the true heart of Scigility is a unique team of highly motivated engineers with diverse backgrounds, unique personalities, and a shared passion for data. We pursue this mission in an environment with flat hierarchies and agile working methods, which requires a maximum of self-organization and self-responsibility.

Overall, we form a strong team that supports and listens to each other. Your colleagues are just a chat message away from you - because working from home has become an integral part of our multicultural team.

Your path to us :

Application submission

Check the documents and speak to a recruiter

Technical challenge

Contract offer

Welcome to the team