Cloud Data Expert

We are opening a Cloud Data Expert position to strengthen a team based in the canton of Vaud, Switzerland. The role will contribute to the development and operational reliability of an enterprise Cloud Data Platform, combining hands‑on data engineering, cloud infrastructure, Dev Ops and hybrid networking expertise.

• Develop, review, troubleshoot and optimise production‑grade data solutions using Python and PySpark.

• Maintain Terraform modules and implement controlled enhancements to cloud data infrastructure.

• Support and improve CI/CD pipelines, including testing, quality controls, release traceability and deployment reliability.

• Configure and troubleshoot cloud and on‑premises connectivity, including virtual networks, firewalls, routing and DNS.

• Contribute to the production support of a large‑scale data platform by investigating incidents, identifying root causes and improving operational resilience.

• Work directly with business stakeholders to clarify requirements and translate them into reliable, maintainable data solutions.

• Collaborate with data, integration, BI, infrastructure, architecture and security teams throughout the delivery lifecycle.

• Produce reusable technical documentation and support knowledge transfer through workshops, coaching, code reviews and practical training.

• Intermediate to advanced hands‑on expertise in Python and PySpark within production data environments.

• Proven experience maintaining Terraform modules and implementing controlled infrastructure changes.

• Solid knowledge of CI/CD pipeline maintenance, troubleshooting and continuous improvement.

• Experience supporting a large, business‑critical enterprise data platform.

• Strong understanding of cloud and on‑premises networking, including virtual networks, firewalls and command‑line diagnostic tools.

• Ability to gather business requirements and convert them into clear technical designs and acceptance criteria.

• A structured approach to engineering quality, including testing, peer reviews, documentation, monitoring and operational readiness.

• Experience with dbt, Databricks, Kubernetes or Power BI, as well as team training and knowledge transfer, would be an advantage.