Cloud Data Expert

Sword Group; Lausanne; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Training budget

25 days paid leave

Monthly events

International assignments

Benefits and discounts

Zusammenfassung

Sword Group is seeking a Cloud Data Expert to join a team based in Nyon and Lausanne. You will develop and operate a Cloud Data Platform, blending data engineering, cloud infrastructure, DevOps and hybrid networking expertise.

You will work with stakeholders to translate requirements into reliable data solutions and contribute to operational resilience across a large-scale enterprise data platform. Training budgets, 25 days leave, regular events and international assignments are offered.

Qualifikationen

• Hands-on Python and PySpark in production data environments.
• Maintaining Terraform modules and controlled infrastructure changes.
• Knowledge of CI/CD pipelines, testing and release reliability.
• Understanding cloud and on-prem networking (virtual networks, firewalls, DNS).
• Translate business requirements into clear technical designs and acceptance criteria.
• Structured engineering: testing, reviews, documentation, monitoring, operations readiness.
• Experience with dbt, Databricks, Kubernetes or Power BI is a plus.

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 and improving resilience.
• Work with stakeholders to translate requirements into reliable data solutions.
• Collaborate with data, integration, BI, infrastructure, architecture and security teams.
• Produce reusable technical documentation and transfer knowledge through workshops and code reviews.

Kenntnisse

Python

PySpark

CI/CD

DevOps

Data engineering

Tools

Terraform

Databricks

Kubernetes

Power BI

dbt

Jobbeschreibung

We are opening a Cloud Data Expert position to strengthen a team based in Nyon & Lausanne. 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.

Job Requirements

• 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.

Continuous learning: A training budget that grows every month and can be used across a wide catalogue of training courses.

25 days of paid leave: All our employees are entitled to 25 days of paid leave per year.

Regular events: Monthly events to get together in small or large groups.

International environments: Assignments within major international organisations.

Innovation: Contribute to impactful and innovative projects across a wide range of industries. Extra perks: Our employees benefit from a programme offering attractive benefits and discounts.