Python Experts in Graz
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Meet FRATCH Experts in Graz, who have recently used Python
Karl F.
Last position:
Managing Director at ONECEPT GmbH
Elija L.
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 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.
Christian W.
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 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
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
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
12 years (Austria: 17 years)
Position duration
2.8 years (Austria: 3 years)
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Retail
Certification focus areas
Information Technology, Business Intelligence, Customer Service
Bachelor's degree or higher
100% (Austria: 88%)
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
89% (Austria: 97%)
Based on our profile pool as of 19 Sep 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.
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 19 Sep 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%)
- Manufacturing (44%)
- Automotive (33%)
- Healthcare (33%)
- Sport (33%)
- Energy (22%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Versatile backend and data engineering
Python remains the primary choice for enterprise backend services, data ingestion pipelines, and machine learning infrastructure. Its clean syntax and extensive standard library enable rapid prototyping without compromising maintainability. Teams rely on it to connect heterogeneous enterprise systems and process unstructured data at scale.
Core frameworks and modern libraries
The Python ecosystem thrives on purpose-built frameworks that streamline production readiness across domains:
- FastAPI and Flask for modern asynchronous REST microservices
- Django for batteries-included web applications and administrative portals
- Celery and Redis for distributed task queues and asynchronous job execution
- Pandas, Polars, and NumPy for high-throughput data manipulation
- PyTorch and Scikit-learn for applied artificial intelligence workflows
Local industrial application in Styria
In Graz and the wider Styrian tech corridor, organizations deploy Python extensively within automotive engineering, semiconductor manufacturing, and greentech research. Companies integrate CPython scripts with hardware-in-the-loop testing environments, telemetry pipelines, and factory analytics platforms to process sensor metrics directly from physical testbeds.
When to bring in dedicated freelance talent
- Refactoring monolithic legacy services into lightweight asynchronous microservices
- Establishing automated model training and deployment pipelines for computer vision
- Resolving concurrency bottlenecks and optimizing database queries in async systems
- Integrating real-time IoT sensor telemetry with cloud data lakes
Profile of an advanced practitioner
Exceptional specialists demonstrate mastery over type annotations, asyncio concurrency patterns, and the internal GIL mechanics. They package modules cleanly using Poetry or Hatch, write comprehensive test suites with pytest, and containerize runtimes via Docker to maintain consistent deployment standards across distributed environments.
Collaboration models across Austrian teams
Local projects often favor hybrid arrangements where specialists integrate remotely for core sprints while joining key discovery workshops on-site in Graz. Clear documentation, English fluency for technical collaboration, and practical German capabilities ensure seamless alignment with local engineering departments.
Frequently asked questions
Quick answers to the questions that come up most around Python.
Organizations hire Python specialists to build microservice backends, automate manufacturing testing routines, and process industrial telemetry data. The language is also widely applied across local automotive and biotech hubs for statistical modeling and production machine learning.
While Go provides faster raw execution speed and compiled binaries, Python excels in developer velocity, data handling, and ecosystem maturity. Teams frequently use asynchronous frameworks like FastAPI when they need clean service design paired with strong data science integration.
A proficient CPython specialist typically commands relational databases like PostgreSQL, container tools like Docker, and task queues like Celery. Experience with cloud platforms and structured testing frameworks such as pytest ensures their code runs reliably in production.
Modern Python 3 handles concurrent input and output operations effectively using the native asyncio event loop and asynchronous database drivers. When CPU-bound performance is required, experts offload intensive calculations to multiprocessing pools, native C extensions, or distributed task queues.
Decoupling legacy codebases or establishing machine learning operations requires senior Python professionals with deep systems knowledge. These specialists understand memory profiling, dependency management, and design patterns that prevent architectural drift over long project lifecycles.
Most Python engagements run on a remote-first basis with planned on-site workshops in Graz for initial system architecture reviews or sprint kickoffs. Local engineering teams value regular asynchronous communication and reliable sprint cadence across time zones.
Technical teams across Styria operate primarily in English for documentation, code reviews, and repositories. Many Python specialists also communicate comfortably in German, which helps when integrating with regional operational and production departments.
High-quality Python deliverables feature strict type hinting validated by mypy, comprehensive unit test coverage, and automated formatting via tools like Ruff or Black. Clean dependency manifests and modular packaging are dependable indicators of professional development practice.
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 12 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 Spanish (22%).
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 Business Intelligence (33%).
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.
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Graz 
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