Python Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Python
Marco Skulschus
Last position:
Business Analyst, Data Warehouse Developer at NRW.Bank
Business analysis for risk controlling.
Development of a data warehouse based on MS SQL Server with data from the FIS Cross-Asset Trading and Risk Platform (formerly Front Arena).
Implementation of ETL and transformation logic with T-SQL and Python (template engine Jinja2).
Modeling and automation of data structures with Data Vault.
Building reporting and analysis reports with Microsoft Power BI, including training and onboarding of users.
Vincent Verdet
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
Gwang Jin Kim
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Michael Neumüller
Last position:
Hardware Development Engineer at Thales
- Architected and implemented a bidirectional USB-C 3.0 Power Delivery (PD/DRP) system for 24V battery charging, successfully minimizing software integration risks through targeted feasibility studies.
- Integrated CAN, USB 3.0, Gigabit-Ethernet, and Audio-Codec interfaces in Altium Designer, successfully delivering the complete system schematic ready for board redesign.
ACHIEVEMENTS:
- Rescued a failing (military) legacy project by reverse engineering undocumented hardware, successfully resolving critical design flaws and consolidating the Altium project.
Urs Steger
Last position:
CargoMonitor App at MSR Electronics GmbH
MVP app for shock logger to monitor and analyze transport data via BLE as a Kotlin Multiplatform solution for Android and iOS.
Christoph Pardon
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time-to-market by 50% through CI/CD pipeline optimization and the introduction of self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Osman Tartoussi
Last position:
Senior Developer and Consultant at Federal Office for IT and Telecommunications BIT
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration and continuous delivery in the backend and frontend area.
Technology stack:
JAVA 21
Spring Boot 3
Spring Framework 6
Spring Rest
Spring Data
JPA
Postgres
Aurora Database
Typescript
OWASP
Renovatebot
Sonarqube
Prometheus
Grafana
Spring Security
Single SignOn
Keycloak
Angular 19
NgRx Redux
AWS ECS
AWS Cloudwatch
Terraform
Spacelift
GitOps
Docker
Junit
Maven
Jenkins Pipeline
GitHub
BitBucket
Nexus
Kafka
Conduktor
Kafdrop
OpenApi
Swagger
Scrum
SAFe
Jira
Confluence
Milan Simonović
Last position:
Cloud Architect & DevOps at Avaloq
- Main cloud solution architect on a banking SaaS offering hosted in Azure.
- Fully automated the Azure infrastructure in Terraform.
- Reduced cloud costs by 50%.
- Responded to incidents, found root-causes and closed with post-mortems.
Robin Ochsner
Last position:
Co-Founder & AI Solutions Architect at airdys
- Product strategy, architecture, and technical co-direction
- AI workshops, client onboarding and go-to-market activities
- Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
- Hands-on development of prototypes and production-ready AI integrations
- Consulting clients on AI adoption, workflows, and integration into existing infrastructure
- Collaboration with co-founders on strategic direction
- Collaboration in sales and customer acquisition
Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker
Mike Battistella
Last position:
Freelance UX-Researcher, -Designer at Companion Hub
UX research and UX concepts for an assisted living application with QT client dashboard/video application and web interface for client support
Venkata Renduchintala
Last position:
Continuous Learning at Personal Time Off
- ZHAW CAS Secure Software Design and Development
- German C1 and Goethe Certificate C1
- ETH CAS Cloud and Mobile Computing at ETH Zurich
- Linux Foundation Linux System Administration LFS307
- Linux Foundation Kubernetes Fundamentals LFS258
- Linux Foundation Kubernetes for Application Developers LFD459
- Linux Foundation Kubernetes Security Fundamentals LFS460
Daniela Hengl
Last position:
Data-Based Transformation & Strategic Business Capability Mapping at CSS Versicherung
- Architected and implemented a Data Value Framework as a decision-making basis for strategic prioritization and determining data-driven value contributions along the corporate value chain, connecting data value with business objectives.
- Designed standardized use cases to assess the maturity levels for quantifying business value and data value.
- Integrated the framework within SAFe structures in Lean Portfolio Management and ARTs to guide strategic investment decisions.
- Developed metrics and evaluation procedures for prioritizing business areas based on quantitative data.
- Redesigned data governance, including the introduction of the data owner role with clearly defined responsibilities and differentiation from the data steward role.
- Derived MVP priorities using gap analyses across key areas and value stream analysis.
Roland Arato
Last position:
Project Manager and Senior Business Analyst at Init Services GmbH
- Project management: Implementation of SAP & EBX integration for master and reference data management and led development of AI supported services for data management and privacy-oriented solutions
- Business analysis: Executed in-depth requirement gathering and data analyzes for MDM implementation, supported service integration using REST APIs to enhance service interoperability, led the requirement gathering, analysis, and implementation of agent-based AI services
- Technologies: SAP BP & FICO & MM, Tibco EBX, n8n, custom AI development in Java, Python, RDBMS, cloud
Frank Gassan
Last position:
Project Lead at Flamingo Med Solutions
- Led the founding of a startup for AI-based consulting products for dental practices.
- Developed and launched PraxisScore, a data-driven consulting product for economic analysis and corporate consulting of dental practices.
- Held full responsibility for technical implementation, AI integration, and structured startup setup from product idea to public launch at IDS 2025 in under three months.
Ahmed Rehman
Last position:
AI & Automation Engineer at Teosek GmbH
- Build prototypes, expand AI skills, and practical application in a startup context.
- Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
- Technologies: LangChain, REST, Python, Java, JS, TS, Node.
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.5 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
92%
Master's degree or higher
63%
Doctorate
12%
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
98%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Switzerland using Python
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Python work
Python is used for backend services, data processing, automation, testing, and internal tools. It fits teams that need clear code, fast delivery, and a broad set of libraries. Strong experts choose simple designs that are easy to extend and maintain.
Common stacks
- Django or Flask for web backends and APIs
- FastAPI for modern, typed services
- pandas, NumPy, and SciPy for data work
- pytest for reliable test coverage
- Celery, Airflow, or scripts for automation and orchestration
Where it fits
Python is common in analytics, finance, insurance, healthcare, software products, and operations-heavy teams. In Switzerland, it often supports internal platforms, reporting flows, and data services that need to connect to several systems. It also works well when teams mix local collaboration with remote delivery.
When to bring in help
Companies usually bring in freelance specialists when a Python system needs to start quickly, be stabilized, or be extended without slowing the core team. Typical signs are unclear module boundaries, weak tests, slow data jobs, or an API that has grown beyond its original design.
What strong experts do
Strong Python professionals write code that is readable, tested, and easy to deploy. They understand packaging, dependency management, virtual environments, logging, and error handling. They also know when to use standard library tools instead of adding more complexity.
Evaluation cues
Look for experts who can explain trade-offs in plain language and show work that reflects real production use.
- Clean project structure and naming
- Practical use of frameworks and libraries
- Testing and debugging habits
- Experience with data, APIs, or automation
- Care for security, performance, and maintenance
Frequently asked questions
Key details about Python, drawn from the questions we get asked most.
A strong Python specialist is often brought in for APIs, data pipelines, automation, internal tools, and integration work. The language is also common for testing, scripts, and backend services that need to be changed quickly without losing clarity. In Switzerland, it is often used in data-heavy or process-heavy teams that want reliable delivery.
Python is usually chosen for speed of development, readability, and a large library ecosystem. Compared with JavaScript, it is often preferred for data and automation; compared with Java or Go, it can be faster to shape early versions of a service or tool. The right choice depends on the system, team skills, and performance needs.
A strong Python freelancer often brings SQL, API design, testing, Linux, Git, and deployment know-how. For data work, pandas, NumPy, Airflow, and notebook workflows matter; for web work, Django, Flask, or FastAPI are common. Good communication also matters because many projects involve existing code and several stakeholders.
You do not need a fully defined project, but you do need a clear target. Python experts can help shape the scope, choose the right framework, and identify risks early. They are especially useful when the existing codebase is growing, brittle, or hard to maintain.
Yes, remote work is often a good fit for Python projects, especially when the work centers on code review, APIs, automation, or data processing. On-site time can still help when the team needs close product discovery or access to sensitive systems. Many Swiss companies use a hybrid setup that mixes both.
A good Python professional writes simple code, tests important paths, and can explain why a solution is structured a certain way. Look for evidence of production work: packaging, observability, error handling, and clean dependency choices. Ask how they would refactor an old module, not just how they would start a new one.
Python is widely used for cleaning data, building pipelines, running models, and automating reporting. It works well with SQL, notebooks, and analytics libraries, which makes it useful when raw data needs to become a dependable business output. Strong specialists keep the code reproducible and easy to hand over.
That depends on the product shape and team needs. Python projects that need a full-featured web stack often fit Django, lighter services often fit Flask, and API-first systems often fit FastAPI. A capable specialist will choose the framework that best matches the maintenance and delivery goals.
The average hourly rate of freelancers in Switzerland who have used Python in their recent projects is 116 €, which corresponds to a daily rate of about 927 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Python in their recent projects, 92% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Switzerland who have used Python in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Switzerland who have used Python in their recent projects are English (98%), German (93%), and French (41%).
The most common industries among freelancers in Switzerland who have used Python in their recent projects are Information Technology (83%), Banking and Finance (62%), and Manufacturing (45%).
The most common business areas among freelancers in Switzerland who have used Python in their recent projects are Information Technology (91%), Product Development (76%), and Project Management (66%).
Main locations of FRATCH Experts, who have recently used Python
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Zurich 
Basel 
Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
