DevOps/Data Platform Engineer | Switzerland

Job Location – Zurich, Switzerland

Experience (Years): 4+ years

Pay Rate – TBN

Start Date - ASAP

6 Months Contract – Renewable

Role Description

• Operate Global Data Platform components including VM Servers, Kubernetes, Kafka, and applications such as Apache stack, Collibra, Dataiku, and similar tools.
• Implement automation of infrastructure, security components, and CI/CD pipelines to ensure optimal execution of ELT/ETL data pipelines.
• Develop and implement solutions to improve resiliency of data pipelines, including platform health checks, monitoring, and alerting mechanisms.
• Apply DevSecOps and Agile approaches to deliver holistic, integrated solutions in iterative increments.
• Liaise and collaborate with enterprise security, digital engineering, and cloud operations teams.
• Review system issues, incidents, and alerts to identify root causes and drive resolution.
• Stay current with industry developments and technology trends.

Experience

• 4–6 years of relevant experience.
• At least 5 years designing large-scale distributed systems.
• Experience with streaming and file-based ingestion (Kafka, Control-M, AWA).
• DevOps experience with Jenkins, Octopus, and optionally Ansible, Chef, XL tools.
• Experience with on-prem Big Data architectures and cloud migration (useful).
• Experience integrating Data Science Workbenches (e.g., Dataiku).
• Experience working with Agile methodologies (Scrum, SAFe).
• Supporting enterprise reporting and data science platforms.

Technical Skills

• Knowledge of data lakes, delta lakes, data meshes, and data platforms.
• Distributed technologies: S3, Parquet, Kafka, Kubernetes, Spark.
• Programming and scripting: Python, Java, Scala, R, Linux scripting, Jinja, Puppet.
• Infrastructure and security: firewall rules, VM setup, Kubernetes scaling.
• Containers and CI/CD: Docker, Harbor, CI/CD pipelines.

Education

• Higher education (FH, WI)

Language Skills

• English – essential
• German – beneficial