Python Experts in Zurich
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Meet FRATCH Experts in Zurich, 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
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
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
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
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
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.
Christian Bucholdt
Last position:
Principal Business Acceleration & Advisory at Xebia
- Building productivity solutions for backoffice functions including case management and automated workflows in insurance
- Integration of GenAI functionality in operational processes for efficiency based on measurable KPIs
- Successfully delivering integration and data projects with agile methodology in requirements engineering, cloud native development and computing, software development, data analytics, quality management and technical documentation
- Coaching and advising clients for adoption of technologies such as use case identification, organizational impact assessment and building a business case for investments
- Advising clients on cost optimization through IT carve out and outsourcing of software product engineering
- Technologies: Jira, Confluence, ServiceNow, GitHub Co-Pilot, Agile/SAFe
Ursula Maria Mayer
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Claus Nielsen
Last position:
Oracle Database Engineer at BBV.ch
- Migration of databases from ODA to ExaData
- Migration of databases from ExaData to ExaCC/OCI
- Decreased UCC usage by 10%
- Developing automation scripts using Python
- Performance tuning
- Shrunk development databases from 6 TB to 3 TB using Exadata columnar compression
- Tuned application performance by 30% using inmemory option
- Tuned non-production Exadata by 20% to release CPU resources before ExaCC migration
- Database patching of Oracle 19c
- Basic Ansible scripting for deployments and database cloning
- Developing acconting model for shared Oracle platform
- Migrating single-instance databases to Oracle RAC
- Analysis of RAC issues
- Advising development teams of how to migrate to RAC
Dariusz Kaczmarkiewicz
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
David Barreto Schmidt
Last position:
External Project Manager in the Supply Chain Network at DEUTZ AG
- Project management (SAP BN (Ariba) onboarding, support for SAP ECC and SAP TM for supplier topics)
- Standardization of global value creation processes
- Basic training as well as central contact person for suppliers and support for planners
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Switzerland: 21 years)
Position duration
2.6 years (Switzerland: 2.5 years)
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
92%
Master's degree or higher
67% (Switzerland: 63%)
Doctorate
17% (Switzerland: 12%)
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
100% (Switzerland: 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 Zurich 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 Zurich 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
What Python fits
Python is a general-purpose language for web backends, data work, automation, testing, and machine learning. Teams use it to move fast on prototypes and still keep code maintainable when the project grows. It is a common choice when the same specialists must cover product work, analytics, and operations.
Common stack
- Django for full web applications and internal tools
- Flask or FastAPI for APIs and lightweight services
- pandas, NumPy, and Jupyter for data work
- pytest, black, and mypy for quality and consistency
- Celery, Redis, and SQLAlchemy for background jobs and data access
A strong specialist knows where each piece belongs and keeps the setup simple. That matters when several teams depend on the same codebase.
Typical work
Companies bring in Python professionals for new backends, data processing jobs, admin tooling, web scraping, integration layers, and machine learning support code. In Zurich, that often includes finance, insurance, software, and research-heavy teams that need clear, reliable delivery. The best experts write code that is easy to review, deploy, and extend.
When to hire
- You need a new service, but the architecture is still open
- An existing Python codebase is hard to maintain
- Data scripts are manual and break too often
- APIs, queues, or workers need cleanup
- You need help with tests, packaging, or deployment
Freelance support is useful when the work is focused and the team needs speed without a long hiring cycle. It is also a practical way to fill gaps in Django, FastAPI, or data engineering.
What good looks like
Strong Python specialists understand more than syntax. They know how to structure modules, manage dependencies, handle typing, write tests, and keep runtime behavior predictable. They also communicate clearly with product, data, and infrastructure teams, which helps in hybrid or remote Zurich projects.
Hiring fit
For short assignments, look for professionals who can read an existing codebase quickly and make safe changes. For larger work, choose people who have shipped Python systems end to end, including reviews, testing, and production support. Remote collaboration works well, and on-site time in Zurich is mainly useful for workshops, discovery, or sensitive handover work.
Frequently asked questions
Curious about Python? Here are the answers that come up again and again.
Python is used for web backends, APIs, automation, data processing, testing, and machine learning support. Many teams choose it when they need one language for both product features and internal workflows. It is also common for scripts that connect systems or clean up operational tasks.
Python is often chosen for speed of delivery, readable code, and a broad ecosystem for data and automation. JavaScript is usually stronger for front-end work, Java for large enterprise systems, and Go for simple, high-performance services. The right choice depends on the team, the runtime needs, and how much existing code already exists.
A strong Python specialist usually knows SQL, Git, testing, and at least one web or data framework such as Django, Flask, FastAPI, or pandas. For production work, Docker, cloud basics, and CI/CD are also useful. If the project touches analytics or machine learning, NumPy, scikit-learn, or Jupyter can matter too.
With Python, simple scripts or small internal tools may need only a focused specialist who can move quickly. Larger systems need someone who understands design, testing, packaging, and deployment, not just code writing. If the work touches production data or customer-facing APIs, proven delivery matters more than raw speed.
Yes, Python work is often a good fit for remote delivery because most tasks are code, review, and testing based. In Zurich, on-site time can still help at the start of a project or when teams need close access for workshops and handover. Many companies use a mixed setup with remote execution and local alignment.
Review the Python code they have shipped, not just the tools they list. Ask how they handle tests, dependencies, type hints, and deployment, and whether they can explain trade-offs in a real codebase. Good specialists show clean commit history, clear communication, and a practical approach to maintenance.
Python projects with admin panels, user management, and full web application needs often fit Django well. Flask is lighter and suits smaller services, while FastAPI is a strong choice for modern APIs with clear typing and fast development. A good specialist chooses the framework based on the product, not habit.
Python specialists in Zurich are often brought in for finance, insurance, software, and research work that needs reliable backends or data pipelines. Typical requests include API delivery, automation, reporting, integration work, and cleanup of legacy scripts. Clear communication in English is usually enough, though local team meetings may happen in German.
The average hourly rate of freelancers in Zurich, Switzerland who have used Python in their recent projects is 114 €, which corresponds to a daily rate of about 909 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Python in their recent projects, 92% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Python in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Zurich, Switzerland who have used Python in their recent projects are English (100%), German (93%), and French (36%).
The most common industries among freelancers in Zurich, Switzerland who have used Python in their recent projects are Information Technology (75%), Banking and Finance (71%), and Education (46%).
The most common business areas among freelancers in Zurich, Switzerland who have used Python in their recent projects are Information Technology (93%), Product Development (79%), and Project Management (79%).
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.
Basel 
Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
