Python Experts in Graz
matched in minutes with vetted and available freelancersHire experts who build data pipelines, web services, automation tools and machine learning applications with Python, Django, FastAPI and the wider Python ecosystem. FRATCH connects you with precisely matched, vetted freelancers who are available when your project needs them.
Meet FRATCH Experts in Graz, who have recently used Python
Christian W.
Last position:
Lead Developer & Performance Specialist at Groox GmbH
Sole responsibility for the design, development and deployment of the bilingual Qwik platform eventvideo.at. Responsible for frontend performance optimization (PageSpeed 97/100/100/100), SEO engineering with Schema.org, integration of Google Search Console and IndexNow, and building the GitHub Actions CI/CD pipeline. Requirements gathering and technical implementation.
- Performance Engineering: Google PageSpeed Score 97/100/100/100 (Performance / Accessibility / Best Practices / SEO) through frontend optimization (lazy loading, thumbnail-first, lightweight media integration)
- Full-Stack Web Development: Sole responsibility for development with the Qwik.js framework from frontend to deployment for the bilingual (DE/EN) platform eventvideo.at, marketing personalized, fully automated participant videos for sports events
- Qwik.js Resumability Architecture: Server-side rendering with minimal JavaScript hydration overhead; the page remains immediately interactive even with extensive video and event content, without a full-page load.
- API Integration: Google Search Console API and IndexNow API for automated indexing and SEO monitoring
- SEO Engineering: Schema.org Structured Data implementation for rich snippets and improved search engine visibility
- Mobile-First with minimal bundle size: CSS3 layout without UI framework overhead, consistently lean use of resources for excellent PageSpeed on desktop and mobile.
- GitHub Actions CI/CD: Automated build, test and deployment pipeline for continuous integration
Technologies: Qwik.js Framework, TypeScript, JavaScript, Internationalization (i18n DE/EN), GitHub Actions CI/CD, Google Search Console API, IndexNow API, Schema.org, Google PageSpeed Insights, Lazy Loading, CSS3, Responsive Design
Karl F.
Last position:
Managing Director at ONECEPT GmbH
Elija L.
Last position:
Fujitsu Deutschland
- Supporting and helping shape the development and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
- Design and implementation of data modeling, ETL processes, reporting, and data quality management
Andreas S.
Last position:
Partner at Lemonbee
- Development of a power distribution solution for motorhomes
- Extension and adaptation of the existing prototype software for some parts of the power distribution system
- Development of missing firmware for other modules of the system
- Automation of the firmware build process through continuous integration (CI)
- Technologies used include C, Jira, Confluence, Git, GitHub, STM32, ESP32, CAN, CANopen, UART, and Zephyr
Namik D.
Last position:
Test Manager / Test Automation Engineer at Sky Deutschland GmbH
- Implemented and maintained 443 automated test cases with a 99% pass rate (441/443)
- Enabled CI for test automation: automated runs on review/merge, reporting via Xray
- Introduced accessibility and performance checks and established them in reporting
- Served as QA lead in daily operations with stand-ups, Kanban progress tracking, prioritization, and targeted task distribution
- Handled defect triage and stakeholder communication with daily triage, QA status analysis, and actionable recommendations
- Developed and maintained a stable regression suite for CRM/Salesforce flows (UI/E2E and near-API validations)
- Integrated CI/CD using Jenkins pipelines with Groovy (IaC)
- Maintained QA documentation, test conventions, and processes in Confluence, aligned across the team
- Conducted Salesforce Einstein chatbot testing with intent/topic validation and output checks, and used Robot Framework/Python suites for continuous quality monitoring
- Technology stack: Jira, Xray, Confluence, Jenkins, Groovy, Git, Java, Selenium, Playwright, Cucumber, TypeScript, Postman, REST, Salesforce, Google Cloud, Lighthouse, Evinced, Scrum/Kanban, BDD (Gherkin)
Stefan K.
Last position:
Fullstack Developer (Freelancer) at Sciuto Software GbR
- Implementing a real-time procedural 3D/AR eyelash configurator using Three.js and MediaPipe
- Building a full-stack web application with React.js and Python
- Consulting on app and web development
Nikolaus J.
Last position:
Solution Architect at HIT Baumärkte
- Leading high-impact retail digital transformation focused on data integration, app integration, and next-generation customer engagement strategies.
Martin H.
Last position:
Software Development & IT-Consulting at Self-Employed
Tech stack: Flutter/Dart, Unity3D, React, NextJS, JavaScript, TypeScript, HTML, CSS, SASS, SCSS, Tailwind, Bootstrap, Ollama, llama.cpp, LangChain, MCP, RAG, n8n, Node-Red, PlatformIO, Arduino, ESP, C, C++, Python/Django, NodeJS, C#, .NET, PostgreSQL, MySQL, MS-SQL, MongoDB, AWS, Azure, GCP, GitHub Actions, GitLab CI, Azure Pipelines, Ansible, Terraform, Docker, Postman, REST, WebSocket, Figma, Penpot, Adobe Illustrator, Adobe InDesign, VS Code, Android Studio, Visual Studio, Unity3D, Jira, Confluence, Traefik, Rclone, Authentik, pfSense, Cloudflare, Proxmox, MQTT
Previous projects:
n8n automation that reads incoming emails from an Office mailbox and routes them to stakeholders
FastMCP 2 server exposing internal services via REST API to an LLM
Terraform migration of cloud infrastructure with Azure VMs, network, blob, storage and cloud-init
Azure Pipelines for automated testing, deployment, and artifact management
Terraform, Ansible, Cloudflare Tunnel integration with Docker container provisioning and backups
GitHub Actions CI/CD for Flutter app builds, testing, automated screenshots, and App Store deployment
Flutter app with SSO, local database, backend integration, BLE synchronization
GCP setup with Cloud DNS, App Engine, Cloud SQL
AWS environment with EC2, S3, Route 53, ECS
Workshops delivered on Docker, Git, Terraform, Ansible, Cloudflare, DevOps, modern software development practices
Backend development with Python Django REST Framework, PostgreSQL, MQTT
SSO identity provider with OIDC, OAuth, LDAP, Cloudflare Tunnels, Authentik
Alexander K.
Last position:
Freelancer at Zirkonzahn
- Implemented features into existing software, including applications for neural networks and rendering features using C# and WPF
- Collaborated in a team of 3 people
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Austria: 16 years)
Position duration
2.8 years (Austria: 3.1 years)
Positions per freelancer
12 (Austria: 10)
Top business areas
Information Technology, Product Development, Marketing
Top industries
Information Technology, Education, Retail
Certification focus areas
Information Technology, Business Intelligence, Customer Service
Bachelor's degree or higher
100% (Austria: 89%)
Master's degree or higher
100% (Austria: 67%)
Doctorate
40% (Austria: 12%)
Certifications per freelancer
4 (Austria: 3)
Most common languages
English, German, Italian
Speak two or more languages
89% (Austria: 99%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Graz 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 insightsAverage rates of experts in Graz 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 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 (100%)
- Education (56%)
- Retail (56%)
- Automotive (44%)
- Healthcare (44%)
- Manufacturing (44%)
- Advertising (33%)
- Media and Entertainment (33%)
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 to create web services, data products, automation tools, scientific software and machine learning systems. Its clear syntax supports fast development, while CPython and a broad standard library provide a dependable foundation for production work. Python also fits well into existing systems through APIs, message queues and scheduled jobs.
Frameworks and tools
The ecosystem covers complete application stacks and focused technical tasks. Django provides a structured web framework, while Flask and FastAPI suit lightweight services and API-first systems. Strong specialists also work with SQLAlchemy, Celery, Pydantic, pytest, Jupyter, NumPy, pandas and packaging tools such as Poetry or pip.
- Design REST and event-driven APIs
- Build data pipelines and analytical workflows
- Develop machine learning and natural language applications
- Automate testing, operations and business processes
Where it is used
Companies use Python across software, manufacturing, research, finance, logistics and digital services. It can power internal automation, customer-facing applications, reporting systems and data platforms. In Graz, teams may combine local industrial or research requirements with distributed delivery, making clear documentation and reliable interfaces especially valuable.
When specialists help
Freelance expertise is useful when a team must deliver a Python service quickly, modernize an older codebase or connect several systems. Specialists can establish project structure, improve test coverage, optimize slow workflows and prepare an application for cloud deployment. They also help teams choose between a full framework, a focused service or a notebook-based approach.
Signs that additional expertise is needed include:
- Prototype code is becoming a business-critical service
- Data processing is slow, fragile or difficult to monitor
- Releases depend on manual steps
- The codebase lacks tests, typing or clear ownership
Skills beyond Python
Good professionals combine language knowledge with software design and practical delivery skills. They understand relational and document databases, HTTP, authentication, containers, continuous integration and cloud environments. Depending on the assignment, they may also bring experience with Kubernetes, Docker, Git, Linux, SQL, frontend integration or model serving.
What strong professionals deliver
Strong Python specialists write readable, modular code and choose dependencies carefully. They define interfaces before implementation, use tests to protect important behavior and add logging and monitoring that support real operations. They communicate trade-offs clearly, document decisions and can explain how a local change affects security, performance and maintainability.
Frequently asked questions
Quick answers to the questions that come up most around Python.
Python is used for web applications, APIs, automation, data pipelines, scientific software and machine learning systems. It is also a practical choice for internal tools and integrations because teams can connect databases, services and business workflows with relatively little ceremony.
Python often enables faster experimentation and readable application code than Java or Go, especially for data-heavy work. JavaScript remains central to browser interfaces and full-stack applications, while Go can be a better fit for lean, highly concurrent infrastructure services. The right choice depends on runtime needs, team skills and existing systems.
A strong Python specialist may also work with SQL, REST, Docker, Git, Linux, cloud services and continuous integration. Data-focused assignments often require pandas, NumPy or machine learning libraries, while web projects may need Django, FastAPI, authentication and database design.
The required depth depends on the deliverable rather than the language alone. A small automation script may need focused Python knowledge, while a public API, data platform or machine learning service requires experience with testing, security, deployment and operations. Ask for examples that resemble the system you need to deliver.
Python work is well suited to remote collaboration when the team uses clear tickets, version control, code review and documented interfaces. A specialist working with a company in Graz can collaborate remotely or on site, depending on access, workshops and operational requirements. German or English expectations should be agreed before work begins.
Review whether the Python code is easy to test, extend and operate, not only whether it produces the expected output. Ask about error handling, dependency choices, typing, security, observability and deployment. A short technical discussion or review of a comparable delivery can reveal how the specialist makes trade-offs.
Python is a leading choice for data analysis, experimentation and machine learning because its ecosystem includes pandas, NumPy, scikit-learn and deep learning libraries. Production work still needs sound data contracts, versioning, testing, monitoring and a suitable serving architecture. The language alone does not solve model or data quality issues.
The choice depends on the shape of the Python application. Django suits teams that want an integrated web framework with established conventions, while FastAPI is useful for typed, API-focused services and asynchronous workloads. Flask or a smaller toolkit may be preferable when the service has a narrow scope and minimal framework needs.
The average hourly rate of freelancers in Graz, Austria who have used Python in their recent projects is 95 €, which corresponds to a daily rate of about 761 € based on an 8-hour working day.
Of the freelancers in Graz, Austria who have used Python in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 40% hold a doctorate.
On average, freelancers in Graz, Austria who have used Python in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Graz, Austria who have used Python in their recent projects are English (100%), German (89%), and Italian (33%).
The most common industries among freelancers in Graz, Austria who have used Python in their recent projects are Information Technology (100%), Education (56%), and Retail (56%).
The most common business areas among freelancers in Graz, Austria who have used Python in their recent projects are Information Technology (100%), Product Development (78%), and Marketing (44%).
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.
Vienna 
Graz 
Vienna Countries:
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