Data Engineer

• Lead digitalization and implementation projects from A to Z across EAM, CAFM, REM, software implementations and transformations
• Conduct requirements analyses, solution design, technical concept development and acceptance, while managing scope, timelines, budgets, risks and communication
• Manage the entire solution lifecycle, from business requirements and solution design through implementation, testing, acceptance, documentation, rollout, hypercare, operations and 2nd-level support
• Facilitate workshops and training sessions in German and, preferably, French
• Provide technical implementation consulting, coordination and training for customers and their IT departments
• Continuously optimize system usage, processes, architecture and workflows
• Work remotely and on-site at customer locations across the DACH region
• Collect and analyze source data from Excel, CSV, SQL and similar systems
• Derive IT, system and interface requirements from business processes
• Prepare and execute data migrations, including mapping to CareOffice and data quality checks
• Create interface specifications for SAP, Abacus, ERP systems, REST APIs, CSV, SML and similar systems
• Create test cases and resolve discrepancies and errors
• Coordinate customer testing and approvals for production deployment
• Create requirements, operations manuals, security concepts and user guidelines
• Implement CareOffice and REST API interfaces
• Develop workflows to automate processes
• Analyze data and create and implement data migration concepts
• Analyze incidents in incident and problem management and take responsibility for sustainable solutions
• Work closely with the CTO, Head of Software Development, Product Owners, Project Managers, Consultants, Software Developers and Sales
• Help shape the continued development of products, methods, processes and team capabilities

Senior Technical Manager – Data Migrations, Interfaces and Digitalization

• 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

• Take on a central role in digital transformation projects throughout the entire solution lifecycle
• Lead digital transformation and implementation projects from A to Z involving EAM, CAFM, REM, software implementations and transformations
• Conduct requirements analysis, solution design and technical concept development
• Manage scope, timelines, budget, risks and communication
• Support business requirements, solution design, implementation, integration and system testing, acceptance, documentation, rollout, hyper care, operations and 2nd-level support
• Facilitate workshops and training sessions in German and, ideally, French
• Provide implementation consulting, coordination and training for customers’ IT departments
• Continuously optimize system usage, processes, architecture and workflows
• Combine remote work with on-site customer assignments throughout the DACH region
• Gather and analyze source data, business processes, and IT, system and interface requirements
• Prepare data migrations, including mapping to CareOffice, and verify data quality
• Create interface specifications and test cases, and coordinate customer testing and production releases
• Create requirements, operating manuals, security concepts and user guidelines
• Implement CareOffice and REST API interfaces
• Develop workflows to automate processes
• Create and implement data migration concepts
• Analyze and permanently resolve technical incidents through incident and problem management
• Work closely with the CTO, Head of Software Development, Product Owners, Project Managers, Consultants, Software Developers and Sales
• Help shape the ongoing development of products, methodologies, processes and team capabilities

Technical Senior Manager, Data Migrations, Digital Transformation DACH, Deputy CTO

• 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

• Analyze energy data, including production, consumption, and storage information, to identify optimization opportunities
• Conduct AI-based market analysis and contribute to developing price and energy forecasts
• Analyze asset data, project progress, and operational, environmental, and financial performance
• Perform trend, variance, and gap analysis and translate findings into actionable recommendations
• Validate data quality and perform plausibility checks
• Develop and maintain central data and reporting infrastructure in collaboration with IT teams
• Create KPI reports, dashboards, and data visualizations for internal and external stakeholders
• Collaborate with management, operations, sales, and country organizations to support data-driven decision-making

Energy Data Engineer – Developer

• Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow
• Optimize data flows into BigQuery and Bigtable for speed and reliability
• Develop and maintain Python-based data APIs using FastAPI for internal services
• Improve data systems to make them faster, more reliable, and easier to use
• Investigate complex data anomalies and solve root causes
• Partner with ML/Product teams to build practical, usable data schemas
• Maintain production Python code using Poetry, Ruff, and pytest
• Ensure streaming and batch data move seamlessly from ingestion to storage
• Provide reliable, high-quality data for critical security decisions
• Progress from pipeline fixes and documentation updates to ownership of major fixes, updates, and key projects

Senior Data Engineer

• Lead and execute commissioning activities for Data Center electrical systems and equipment
• Inspect, configure, test, start up, and commission electrical systems and equipment
• Coordinate and collaborate with customers, subcontractors, and multidisciplinary project teams
• Ensure compliance with local regulations, standards, and guidelines
• Maintain daily communication with customers, subcontractors, and internal back-office teams
• Prepare commissioning documentation and test scripts

Commissioning Engineer – Data Centers

• Engage directly with customers onsite a couple of days per week in the Frankfurt Region, building relationships and understanding scientific data challenges and requirements.
• Design and implement extensible, reusable data models for scientific use cases.
• Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
• Own, scope, prototype, and implement solutions involving data model design, Python parser development, lab software integration via APIs, data visualization, and Python application development.
• Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy models.
• Iterate with scientific end users and technical stakeholders through regular demos and meetings to drive solution development and adoption.
• Communicate implementation progress and deliver demos to customer stakeholders.
• Collaborate with the product team to build and prioritize the roadmap based on customer pain points.
• Learn new technologies and scientific analysis applications to develop and troubleshoot use cases.

Scientific Data Architect

• Build and operate data and ML infrastructure that turns inspection-drone data into improved AI capabilities
• Own workflows connecting data collection, preparation, labeling, training, evaluation, and model deployment
• Work closely with Spatial AI engineers developing models and the Cloud Platform Engineer providing shared cloud infrastructure
• Own infrastructure and workflows for ML data pools and datasets, including ingesting, organizing, curating, validating, and versioning data
• Host in-house labeling tools and manage annotation workflows with external labeling partners
• Automate and maintain infrastructure and workflows for ML training, evaluation, experiment tracking, and reproducibility
• Build tooling and automation to move models from training and validation to reliable deployment
• Monitor training and model performance and connect production data and failure cases back into the ML development loop
• Provide tools, documentation, and workflows enabling Spatial AI engineers to move from data to deployable models
• Transform historical and growing datasets into structured, versioned, reliable, and accessible ML assets

Data Engineer jobs in Switzerland