Cloud Data Expert

Sword Services; Nyon; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

Sword Services in Vaud, Switzerland seeks a Cloud Data Expert to drive production data solutions and reliable cloud data platform operations.

You will collaborate with business stakeholders and cross-functional teams to translate requirements into maintainable data solutions, orchestrate Terraform-based infrastructure, and strengthen CI/CD and data tooling in a hybrid cloud environment.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

PySpark

CI/CD

Cloud infra

Networking

Requirements to design

Documentation

Tools

Terraform

Databricks

Kubernetes

Power BI

Jobbeschreibung

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, DevOps and hybrid networking expertise.

Job Responsibilities

• 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.