Swisscom

Data Engineer

• Contribute to the development, operation, and evolution of an AI-powered agentic product delivering insights from enterprise-scale systems
• Design, build, and maintain scalable data services, cloud infrastructure, AI agents, and platform components
• Contribute to infrastructure automation, CI/CD processes, and Infrastructure-as-Code initiatives
• Improve system reliability, observability, performance, scalability, and security across the platform
• Collaborate with engineering and data teams to explore modern AI/data technologies
• Contribute to platform architecture improvements

Junior Data Engineer, AI

Project Manager

• End-to-end responsibility from requirements gathering through implementation and handover to operations
• Responsibility for at least one Workday module, including analysis, solution design, configuration, testing, and optimization
• Translating the digitalization needs of HR functions into actionable solutions, projects, or roadmaps
• Coordinating implementation with internal IT teams and external vendors
• Ensuring economically viable, secure, high-quality solutions that can be operated sustainably
• Coordinating integrations between Workday and adjacent systems with IT, Architecture, Security, and external implementation partners
• Contributing to simple, customer-focused, and efficient HR processes

HR Technology Project Manager

• Integrate new data sources into the cloud architecture
• Design and operate robust data pipelines and data products
• Collaborate with business departments and data providers to ensure high-quality, automated data delivery
• Develop analytics and AI use cases for business intelligence and operational applications
• Continuously improve data quality, monitoring, and automation
• Develop and maintain data products, as well as analytics and AI applications based on them
• Contribute to Swisscom’s transformation into an AI-first company

• Operate and further develop the Swisscom Geo Platform
• Develop and operate geospatial data pipelines for integration and transformation
• Automate data processes and migrations using Python
• Provide mapping and geospatial services for various user groups
• Monitor systems, analyze errors, and drive continuous improvement in collaboration with stakeholders
• Implement improvements and automation using AI
• Integrate new data sources into the cloud architecture
• Develop and maintain robust data products and geospatial services
• Ensure reliable and scalable delivery
• Operate monitoring, security, and deployments across multiple environments

Data Engineer – Geo Platform

Solutions Engineer

• Develop and implement holistic security solutions for customers in finance, transportation, industry, justice, tourism, and public infrastructure
• Integrate IT, networking, and physical security into scalable, interoperable systems
• Design solutions in collaboration with internal teams and partners using modern methods and technologies
• Design and engineer security architectures, including requirements analysis and feasibility assessments
• Plan and integrate video management, cameras, access control, and intercom systems
• Define cybersecurity measures and specify automations and scripts
• Take technical responsibility for timelines, budgets, and quality, ensuring a clear handover to project and rollout teams
• Advise sales teams and customers, providing support with complex issues and troubleshooting
• Create documentation and training materials
• Take ownership from initial concept through to handover

Junior Data Engineer, AI

HR Technology Project Manager

Data Engineer

Data Engineer – Geo Platform

Solution Engineer – Security Systems