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Python Experts in Zurich

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Hire experts who build data platforms, automation workflows and production APIs with Python, supported by tools such as Django, FastAPI, pandas and PyTorch. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.

Meet FRATCH Experts in Zurich, who have recently used Python

Verified expert

Damir M.

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Interim Head of PMO & Transformation Lead · IPMA Level A · AIPMO ACE

Wollerau
Damir M.

Last position:

Head of Research & Chairman of the Research Advisory Board at SBS Swiss Business School

Swiss University of Applied Sciences institute (HEdA/AAQ accredited); ranked #5 globally for Executive MBA (CEO Magazine 2025)

  • Led the research function and chaired the Research Advisory Board.
  • Editor of the Journal of Applied Business Research.
  • Member of the Thesis and Dissertation Committee.
  • Contributed to the AAQ and ACBSP accreditation processes.
Verified expert

Claus N.

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Oracle Database Engineer

Thalwil
Claus N.

Last position:

Oracle Database Engineer at BBV.ch

  • Migration of databases from ODA to ExaData
  • Migration of databases from ExaData to ExaCC/OCI
  • Reduced UCC usage by 10%
  • Developing automation scripts using Python
  • Performance tuning
  • Reduced development databases from 6 TB to 3 TB using Exadata columnar compression
  • Improved application performance by 30% using the inmemory option
  • Improved non-production Exadata performance by 20% to free up CPU resources before ExaCC migration
  • Database patching of Oracle 19c
  • Basic Ansible scripting for deployments and database cloning
  • Developing an accounting model for a shared Oracle platform
  • Migrating single-instance databases to Oracle RAC
  • Analysis of RAC issues
  • Advising development teams on how to migrate to RAC
Verified expert

Vincent V.

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Senior Enterprise Architect | IT Business Relationship Manager

Zürich
Vincent V.

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.
Verified expert

Paulo M.

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Power BI & Microsoft Fabric Specialist | AI & Copilot | SAP BI

Zürich
Paulo M.

Last position:

Power BI / Fabric & SAP BI Consultant at Financial Bank

  • Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
  • Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
  • Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
  • Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
  • Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
  • Optimized UNX universes, reducing query execution time by 40%.
  • Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.

Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.

Verified expert

Patrick B.

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Senior Software Engineer

Zürich
Patrick B.

Last position:

Senior Software Engineer at On AG

  • Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
  • Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
  • Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
  • Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
  • Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
  • Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
  • Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Verified expert

Rupesh Kumar S.

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IT Baseline Compliance Consultant

Oberlunkhofen
Rupesh Kumar S.

Last position:

IT Baseline Compliance Consultant at Consultant

  • Verified baseline compliance against MAS audit findings
  • Developed technical architecture concepts for 30 technologies to create hardening standard artifacts
  • Identified and developed automation opportunities for given technologies based on CIS
  • Developed standard baseline configurations based on internal security standards
  • Responsible for developing Cloud Native Application Protection Platform (CNAPP) architecture artifacts based on the Azure cloud platform
  • Responsible for RFQs and RFPs for different CNAPP solutions (Qualys Total Cloud, CrowdStrike, Azure Security Center)
  • Supported compliance verification and validation through automated scripts for a sample population of IT devices and instances
  • Responsible for the full vulnerability management lifecycle using Nexpose, including remediation, reporting, and integrating results with Splunk, HPSM, and Tableau
  • Supported MAS audits
Verified expert

Yannick H.

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AI & Cybersecurity Consultant

Baar
Yannick H.

Last position:

Managing Director and Trusted Advisor at ODCUS

ODCUS makes sure AI works alongside people in the day-to-day operations of Swiss SMEs while keeping their data secure: vendor-independent, pragmatic and without hidden agendas. We make a company's knowledge useful to AI, automate workflows and protect what matters.

I transform IT from a cost factor into a competitive advantage. As the founder of ODCUS, I advise Swiss SMEs and mid-sized companies—independently, with a focus on results and without hidden agendas.

What drives me: Too many companies invest in technology without knowing its business value. That is where we come in: we always advise on IT in the context of the business and its success.

My focus areas:

  • Cybersecurity – Pragmatic protection that fits the business
  • Compliance – NIS2, ISO 27001, EU AI Act without excessive bureaucracy
  • IT costs – Create transparency, eliminate waste
  • AI – From pilot project to measurable value creation
Verified expert

Mohamad K.

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Senior Backend Developer

Zürich
Mohamad K.

Last position:

Senior Backend Developer at Standing on Giants

  • Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
  • Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
  • Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
  • Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
  • Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
  • Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
  • Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
  • Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
  • Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
  • Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
  • Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Verified expert

Charles S.

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Data & Analytics Product Manager | AI-Augmented Data Products | Executive BI Delivery | Financial Services

Zürich
Charles S.

Last position:

Data Delivery Lead at Westpac

  • Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
  • Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
  • Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
  • Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
  • Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Verified expert

Christoph P.

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ICT DevSecOps Engineer & Security Coordinator

Zug
Christoph P.

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 a 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% by optimizing CI/CD pipelines and establishing 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
Verified expert

Milan S.

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Cloud architect and DevOps engineer with two decades of expertise and a proven track record of taking ideas and delivering them

Zürich
Milan S.

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.
Verified expert

Oliver S.

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Managing Director and employed actuarial consultant

Kilchberg
Oliver S.

Last position:

Managing Director and employed actuarial consultant at ARCS Actuarial and Risk Consulting Stoll GmbH

  • Advising insurance companies on modelling, reporting, valuations, risk management and acting as Appointed Actuary
  • 2023–2025: Improvement of Solvency II software, annual financial statements (HGB, SII), process optimisation, pricing, SQL- and Python-based reports for AXA Deutschland, Cologne
  • 2022–2023: Support with portfolio transfer (RAFM optimisation; impact on HGB balance sheet, SII, reinsurance; migration to msg.Life Factory) for Zurich Deutschland, Cologne
  • 2021 and 2024: Redesign of Solvency II model, implementation in Python and model enhancements; testing and documentation for PK Rück, Zurich
  • 2021–2023: Control calculations for policy maturity benefits; specification and testing of an administration system for product launch at Youplus, Liechtenstein
  • 2021: a) Support in drafting a reinsurance contract: project management and analyses; b) Support with Solvency II reporting and multi-year planning for Allianz Leben, Stuttgart
  • 2020–2021: Further development and optimisation of models with Risk Agility FM (RAFM), integration into the IFRS 17 reporting process with Unify for Allianz Slovakia and Bulgaria
  • 2017–2023: Quality improvement of the RAFM model; methodology development; documentation; optimisation of reporting and planning processes; automation with Excel and Oracle SQL (on COR-Life); implementation of a life reinsurance contract; validation of mathematical figures in the administration system for SV Versicherung, Stuttgart and Mannheim
  • 2015–2017: Project management and senior actuary in the development of an actuarial projection tool and in the IMAP process with the regulator; guidance of the reporting team; analyses; methodology development; process design; coordination with IT, asset management and risk management for Allianz Leben, Stuttgart
  • 2016–2020: Review of cash flow models for investment projects for B Capital, Zurich
  • 2015: Rebuilding of methodology for MCEV calculation based on MVBS; weakness analysis and support in addressing weaknesses for Allianz SE, Munich
  • 2014: Solvency II risk capital reporting project: validation of data submissions; analyses for management and the regulator; tool development; process and documentation improvements; training of team members for Aegon Group, The Hague, Netherlands
Verified expert

Christian B.

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Trusted advisor for enterprise change

Zug
Christian B.

Last position:

5G Campus Product Advisor Telco at German railway group

  • Definition of a product concept and end to end solution delivery (turnkey) for a Digital Efficiency Hub for Railway Maintenance based on 5G campus networks. Integration of various hardware and software systems in a comprehensive delivery with success metrics. Laise the concept and process across the enterprise. Compliant process definition and financial management with commercial model.

Technologies: 5G, RAN, SAP, Cloud, Enterprise Architect, Autonomous Robots, ITIL, CoBIT, TBM, BSI, ISO 27001

Verified expert

Robin O.

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Co-Founder & AI Solutions Architect

Winterthur
Robin O.

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

Discover over 15,000 top freelancers

Statistics of experts using Python

Aggregated from the professional profiles of matched freelancers.

Experience

21 years (Switzerland: 20 years)

Python experts in Zurich have 21 years of professional experience on average. It is 1 year more than in Switzerland, where the average stands at 20 years.

Position duration

2.4 years (Switzerland: 2.5 years)

Python experts in Zurich stay in a single position for 2.4 years on average. It is 0.1 years less than in Switzerland, where the average stands at 2.5 years.

Positions per freelancer

12

Python experts in Zurich have completed 12 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Project Management

Python experts in Zurich have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Banking and Finance, Education

Python experts in Zurich are most in demand in Information Technology, Banking and Finance, and Education.

Certification focus areas

Information Technology, Project Management, Product Development

Python experts in Zurich earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

94% (Switzerland: 93%)

94% of Python experts in Zurich hold at least a Bachelor's degree. It is 1% higher than in Switzerland, where the rate stands at 93%.

Master's degree or higher

66% (Switzerland: 64%)

66% of Python experts in Zurich hold at least a Master's degree. It is 2% higher than in Switzerland, where the rate stands at 64%.

Doctorate

16% (Switzerland: 14%)

16% of Python experts in Zurich have a doctorate (PhD). It is 2% higher than in Switzerland, where the rate stands at 14%.

Certifications per freelancer

3 (Switzerland: 4)

Python experts in Zurich hold 3 professional certifications on average. It is 1 fewer than in Switzerland, where the average stands at 4.

Most common languages

English, German, French

Python experts in Zurich most often speak English, German, and French.

Speak two or more languages

100% (Switzerland: 99%)

100% of Python experts in Zurich speak two or more languages. It is 1% higher than in Switzerland, where the rate stands at 99%.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
3% of Python experts in Zurich charge less than €400 per day.
18% of Python experts in Zurich charge between €400 and €800 per day.
59% of Python experts in Zurich charge between €800 and €1200 per day.
21% of Python experts in Zurich charge €1200 or more per day.
<€400 €400-​800 €800-​1200 €1200+

The chart shows how the daily rates of experts in this technology in Zurich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Discover detailed Python rate benchmarks:

Explore rate insights

Average rates of experts in Zurich using Python

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 905 €
Switzerland avg. 923 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 860 €
Switzerland median 840 €

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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Python experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Information Technology (78%)
  • Banking and Finance (75%)
  • Education (47%)
  • Manufacturing (42%)
  • Professional Services (42%)
  • Healthcare (39%)
  • Insurance (36%)
  • Government and Administration (31%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Python does

Python is a general-purpose programming language used for web services, data processing, automation, scientific computing and artificial intelligence. Its readable syntax helps teams move from prototypes to maintainable production systems. Python also connects easily with databases, cloud services and external APIs.

Frameworks and tools

The ecosystem covers focused tools for different delivery needs:

  • Django and Flask for web applications and backend services
  • FastAPI for typed, high-performance APIs
  • pandas and NumPy for data preparation and analysis
  • PyTorch and scikit-learn for machine learning
  • pytest, Ruff and Poetry for quality and project management

Strong specialists choose libraries carefully, define clear interfaces and keep dependencies manageable. They also work comfortably with Git, Docker, SQL and modern deployment pipelines.

Where it runs

Python powers internal automation, customer-facing platforms, analytics products, recommendation systems and research tools. It is common in finance, manufacturing, life sciences, logistics and technology companies. In Zurich, professionals may support regulated or data-intensive environments while collaborating with local teams on-site, remotely or in a hybrid setup.

When to bring in experts

Companies often need freelance expertise when a new Python service must reach production, an existing codebase needs reliable refactoring or a data initiative lacks implementation capacity. Specialist support is also useful for connecting models to business systems, improving test coverage and preparing workloads for cloud deployment.

  • A prototype needs a production architecture
  • Slow scripts or pipelines need profiling and redesign
  • APIs require security, documentation and observability
  • A team needs practical guidance on Python standards

What strong specialists deliver

Experienced Python professionals separate application logic from infrastructure and data access. They write tests that protect important behavior, use type hints where they add value and explain technical decisions clearly. For machine learning work, they also address data quality, reproducibility, model serving and monitoring rather than stopping at experimentation.

Collaboration in Zurich

A successful engagement starts with a clear outcome, existing system context and access to the right stakeholders. Zurich-based teams may value German communication alongside English, depending on their customers and internal structure. The best freelancer adapts to the team’s workflow, documents decisions and leaves maintainable code behind.

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Frequently asked questions

Curious about Python? Here are the answers that come up again and again.

Python is used for web backends, automation, data pipelines, scientific applications and machine learning products. It can support a small internal tool or a large service when its architecture, testing and deployment are handled carefully.

Python usually offers a shorter path from an idea to working software and has a strong ecosystem for data and research. JavaScript is often central to browser interfaces and Java is common in large enterprise environments, but the best choice depends on the existing system, runtime needs and team skills.

Python work often benefits from SQL, REST and GraphQL APIs, Docker, Git, Linux and cloud deployment. Depending on the project, useful adjacent expertise includes Django or FastAPI, pandas, PyTorch, CI/CD, observability and secure identity integration.

Python expertise should match the project’s risk and scope rather than a fixed time threshold. A simple automation task may need focused library knowledge, while a production platform benefits from someone who has handled architecture, testing, security, performance and operational support.

Python projects are well suited to remote collaboration when repositories, environments, documentation and decision-making are organized. Zurich companies can combine remote delivery with on-site workshops when domain knowledge, stakeholder alignment or sensitive systems make direct contact useful.

Python may be less suitable for strict low-latency workloads, mobile applications or software that must run with very limited resources. A specialist should explain these trade-offs and consider alternatives such as Java, Go, Rust, C++ or JavaScript where they better fit the operating constraints.

Python quality is visible in clear structure, meaningful tests, dependency control, readable documentation and safe error handling. Ask the specialist to explain trade-offs, show how they would monitor the system and describe how they make a codebase easier to change.

Python specialists may find work across finance, research, manufacturing, logistics and data-focused products in the Zurich area. English is common in technical collaboration, while German can matter for customer communication, workshops or internal coordination depending on the organization.

The average hourly rate of freelancers in Zurich, Switzerland who have used Python in their recent projects is 113 €, which corresponds to a daily rate of about 905 € based on an 8-hour working day.

Of the freelancers in Zurich, Switzerland who have used Python in their recent projects, 94% hold at least a Bachelor's degree, 66% hold at least a Master's degree, and 16% hold a doctorate.

On average, freelancers in Zurich, Switzerland who have used Python in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.4 years.

The most common languages among freelancers in Zurich, Switzerland who have used Python in their recent projects are English (100%), German (89%), and French (36%).

The most common industries among freelancers in Zurich, Switzerland who have used Python in their recent projects are Information Technology (78%), Banking and Finance (75%), and Education (47%).

The most common business areas among freelancers in Zurich, Switzerland who have used Python in their recent projects are Information Technology (94%), Product Development (81%), and Project Management (78%).

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 Geneva Basel Bern

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