Python Experts in Graz
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Meet FRATCH Experts in Graz, who have recently used Python
Elija Lechner
Last position:
Fujitsu Germany
- Supporting and helping shape the setup 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
- Designing and implementing data modeling, ETL processes, reporting, and data quality management
Nikolaus Jäger-Grassl
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.
Christian Werner
Last position:
EHF.at
- Further development and ongoing maintenance of the existing WordPress site for EHF.at to revamp the responsive design and improve usability on mobile devices.
- Integration of WooCommerce into the existing site for full e-commerce functionality and digitization of the team sports apparel sales process.
- Implementation and configuration of an automated newsletter system to strengthen customer loyalty through regular updates and personalized offers.
- Ongoing maintenance including regular updates, performance optimizations, and security checks to keep the site up-to-date and functional.
- Project-related technical activities: PHP, CSS, and JavaScript.
Namik Delilovic
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 Kohl
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
Andreas Schuster
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
Martin Haintz
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 Komar
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: 17 years)
Position duration
3 years (Austria: 3.1 years)
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Manufacturing
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: 11%)
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
88% (Austria: 97%)
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 Graz 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Python in practice
Python is a general-purpose language used for web back ends, automation, data work, testing, and machine learning. It suits teams that need clear code, fast delivery, and a broad library ecosystem. Strong specialists turn it into reliable services, scripts, and tools that fit real product work.
Common project types
- Web APIs and backend services with Django, Flask, or FastAPI
- Data processing, analytics, and reporting with pandas and NumPy
- Workflow automation, integration scripts, and internal tools
- Test suites and quality checks with pytest
- Machine learning and experimentation notebooks
Ecosystem and tooling
Python work often depends on CPython, virtual environments, package management, and clean dependency handling. Professionals should know how to structure projects, isolate environments, and keep code maintainable across modules and services. In Graz, this often matters for teams that mix product development, industrial software, and data-heavy systems.
What strong specialists do
A strong Python specialist writes code that is readable, testable, and easy to hand over. They understand debugging, packaging, performance trade-offs, and how to choose the right framework or library for the task. They also document decisions so future work stays simple.
When companies bring in help
Companies usually bring in freelance Python expertise when a project needs quick start-up, a hard bug fix, or extra capacity on an active codebase. Typical signs include slow scripts, unstable APIs, messy dependencies, and weak test coverage. Specialists can also help modernize older Python 2 code or tighten a loose Django stack.
Collaboration and delivery
Python experts often work well remote, especially for API work, data tasks, and code review. On-site collaboration in Graz can help when a team needs close access to domain knowledge, existing systems, or local stakeholders. Good delivery usually includes a clear repo setup, tests, and concise handover notes.
Frequently asked questions
Quick answers to the questions that come up most around Python.
Python is used for backend services, data processing, automation, testing, and machine learning. It is a common choice when a team needs readable code and a wide library ecosystem. Many projects also use it for internal tools and integration work.
Python is often chosen when speed of implementation and clarity matter more than strict ceremony. Compared with Java, it usually feels lighter for scripts, APIs, and data work; compared with JavaScript, it is often stronger for analysis and backend-heavy tasks. The right choice depends on the stack you already run.
A strong Python specialist often knows Django, Flask, or FastAPI, depending on the project. Django fits full web applications with a lot of built-in structure, while Flask and FastAPI are common for smaller services and APIs. For data work, pandas, NumPy, and Jupyter are also important.
Not always, but the project should still have someone who understands packaging, testing, and maintainable structure. A Python freelancer with solid practical experience can often handle small APIs, automation, or cleanup work without heavy oversight. For larger legacy codebases or production systems, deeper experience is safer.
Yes. Python work is often remote-friendly because most tasks happen in code, tests, and pull requests. For Graz-based teams, remote collaboration works well if access to repositories, staging systems, and domain input is set up clearly.
A useful Python specialist often brings SQL, Git, testing discipline, and basic cloud or Docker knowledge. For product work, API design and logging are important too. For data projects, look for pandas, NumPy, and workflow tools such as Airflow or similar orchestration systems.
Look for clean project structure, sensible tests, and code that is easy to read. A strong Python professional explains trade-offs clearly and avoids overcomplicated solutions. Good signs also include careful dependency management and a habit of writing handover notes.
Yes, especially when the codebase needs cleanup, test coverage, or a move away from older patterns. Python specialists often help modernize legacy services, replace fragile scripts, or move from Python 2 style code to current practices. The key is to plan the work in small, safe steps.
The average hourly rate of freelancers in Graz, Austria who have used Python in their recent projects is 103 €, which corresponds to a daily rate of about 826 € 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 3 years.
The most common languages among freelancers in Graz, Austria who have used Python in their recent projects are English (100%), German (88%), and Spanish (25%).
The most common industries among freelancers in Graz, Austria who have used Python in their recent projects are Information Technology (100%), Education (50%), and Manufacturing (50%).
The most common business areas among freelancers in Graz, Austria who have used Python in their recent projects are Information Technology (100%), Product Development (75%), and Business Intelligence (25%).
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 
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Philipp Thomaschewski
FRATCH CEO
