Data Platform Engineer (Zürich)

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Requirements

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

Responsibilities

• Design, build, operate, and maintain modern data analytics platforms.
• Automate platform lifecycles according to Infrastructure as Code (IaC) principles.
• Check, audit, and troubleshoot existing solutions and system architectures.
• Participate in internal initiatives such as:
• Helping shape our technology strategy
• Participating in pre-sales activities
• Mentoring new team members

Technologies

• Ansible
• DevOps
• Flink
• Helm
• Hive
• Kafka
• Kubernetes
• Linux
• OpenShift
• Puppet
• Spark

Additional Information

At Scigility, academic and practical expertise come together to create a unique Data & AI service offering for diverse, cross-industry clients in Switzerland. We develop and operate integrated Data & AI platforms, create applications for data insights, and support legal compliance.

We maintain close collaborations with universities and technology providers to stay at the forefront of innovation. Our team of motivated engineers with diverse backgrounds and a shared passion for data works in an environment characterized by flat hierarchies and agile methods, emphasizing self-organization and responsibility.

We foster a supportive, collaborative team culture where colleagues are just a message away, embracing remote work as a core part of our multicultural environment.

Your Path to Us

1. Application submission
2. Document review and initial recruiter contact
3. Technical challenge
4. Contract offer
5. Welcome to the team