Python Experts in Austria
matched in minutes from over 15,000 CVsHire experts who deliver data pipelines, machine learning services, automation and reliable web backends with Python. FRATCH connects you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Austria, who have recently used Python
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and Zero-Knowledge encryption, cloud-native on EU infrastructure
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
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
Peter G.
Last position:
Senior IT Project Manager at REWE Group
Datacenter audit and subsequent transformation program
- Initial situation: Following a critical outage, the datacenter was considered the cause. A traditional audit was to be put out to tender.
- My diagnosis: The technical architecture was not the core problem. The key issues were the incident, diagnosis, and recovery processes, as well as a lack of transparency regarding costs and dependencies.
- Impact: The audit was implemented pragmatically in-house. The results and budget foundations became the basis for a multi-year international transformation program. I was then retained as the preferred candidate for a central transformation stream.
Emre H.
Last position:
DevOps Engineer at SIWA Online GmbH
- Planning and implementation of IT infrastructures for customers
- Automation of provisioning with AWS CloudFormation and AWS CDK
- Monitoring and optimization of cloud environments and the entire IT infrastructure
- Technical support and troubleshooting for infrastructure issues
- Collaboration with development teams on CI/CD processes
Thomas K.
Last position:
Founder – Strategy, Digitalization & AI at Kopatsch Consulting (in Gründung)
- Development and implementation of AI and digitalization strategies
- Identification and evaluation of automation potential
- Development of hybrid automation solutions
- Strategic support from potential analysis through implementation
Karl F.
Last position:
Managing Director at ONECEPT GmbH
Marko A.
Last position:
Program Lead | Agile Transformation Coach at EnBW
Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum
- Steering and supporting the organization in introducing Scrum and a SAFe-inspired quarterly roadmap and portfolio planning at program level.
- Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
- Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
- Moderating and facilitating cross-functional workshops and management meetings to align on shared goals.
- Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
- Removing structural obstacles at team and organizational level through targeted impediment management and escalation processes.
- Enabling teams to become more self-organized, accountable, and end-to-end responsible along the value streams.
- Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
- Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
- Close support for Product Owners in stakeholder management, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
- Introducing, governing, and scaling Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.
Achievements:
- Clear increase in visibility, transparency, and perceived value creation of the development teams within the overall organization.
- Noticeable improvement in communication between development, business, and other stakeholders.
- Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.
Christian E.
Last position:
Cyber Trust Austria Silver Certification at PrimeFaktor GmbH
Cyber Trust Austria Silver Certification
- Led application and implementation of the Cyber Trust Austria Silver label (KSV1870 Cyber Risk A-Rating; 25 validated controls)
- Mapped and fulfilled requirements covering risk management, incident response, access control, vulnerability and penetration testing, BCM, and supply-chain security, aligned with ISO/IEC 27001/27002 control themes and NIS 2 / NISG 2026 expectations
- Coordinated stakeholders, compiled audit evidence, and completed KSV1870 validation
John A.
Last position:
Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)
Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.
Yunus S.
Last position:
Senior Expert / Program Manager at Dolpheen IT
Senior Expert / Program Manager
IT Services
- Management of internal projects for infrastructure modernization: setup and maintenance of test environments that realistically replicate complex customer networks.
- Resource coordination: planning server capacities and cloud resources for automated test runs.
- Implementation of CI/CD pipelines to integrate automated tests into the build process.
- Evaluation of performance bottlenecks through load testing (NeoLoad/JMeter) to ensure scalability.
Tools / Technologies: Jenkins, Docker, GIT, ButBucket, NeoLoad, Azure
Manuel P.
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Mario M.
Last position:
Co-Founder and CTO at B2B SaaS Recruiting Platform
Complete build of a B2B SaaS platform for recruitment agencies
- Multi-source job aggregation via ATS APIs
- AI-assisted career page scraping
- Rule-based and AI-assisted matching
- Credit-based monetization model with Stripe integration
- Live in production since July 2026
Tech stack
- NestJS
- React
- PostgreSQL
- pgvector
- Claude AI
- Prisma
Manuel M.
Last position:
ERP Process Modeling at Richter Pharma AG
Migration preparation for the upcoming ERP system change: recording all ERP-related business processes, analyzing pain points, and consolidating them into process views. Ensuring that every process can be transferred to the target system or that an alternative exists. Result: a solid working basis for system integrators and a company ready for migration.
BPMN · Camunda
Stefan D.
Last position:
BI Consultant in Controlling at Reutter GmbH
- Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
- Creation of sales reports in Power BI
- Training employees in business intelligence
- Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)
Roman M.
Last position:
Software Engineer at FSM Rechtsanwälte
- Develop AWS-based components connecting Python backend services to React/TypeScript frontends.
- Improve database queries and application workflows for document processing and screening.
- Evaluate LLM retrieval and document-review workflows as part of the product stack.
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
3.1 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
89%
Master's degree or higher
67%
Doctorate
12%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
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 Austria 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 Austria 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 (88%)
- Banking and Finance (41%)
- Manufacturing (41%)
- Education (37%)
- Professional Services (36%)
- Government and Administration (28%)
- Healthcare (27%)
- Transportation (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Python delivers
Python is a general-purpose programming language used for web services, data processing, automation, scientific computing and machine learning. Its readable syntax helps teams move from a working idea to a maintainable product without forcing every project into the same architecture. Python runs in internal tools, customer-facing applications, research environments and production data systems.
Frameworks and ecosystem
The ecosystem covers both application delivery and specialist computing. Django and Flask support web backends, while FastAPI suits typed APIs and asynchronous services. Professionals also work with pandas, NumPy, PyTorch, scikit-learn, Celery, SQLAlchemy and Jupyter, connecting these tools to PostgreSQL, cloud services, queues and containerised deployments.
Typical project work
Python specialists contribute across the full path from discovery to operation:
- Create APIs, web backends and integrations
- Build data ingestion, transformation and reporting pipelines
- Develop machine learning and natural language processing services
- Automate testing, operations and repetitive business processes
They can also package models, expose analytics to other systems and improve existing codebases without disrupting live workflows.
When companies hire specialists
Companies often bring in freelance Python expertise when a prototype must become a dependable service, a data workflow has outgrown manual handling or an internal team needs focused knowledge of a framework or library. A specialist can investigate slow jobs, untangle legacy code, introduce testing and establish deployment practices. In Austria, remote collaboration is common, while regulated or operational projects may benefit from on-site workshops and German-language communication.
Skills beyond the language
Strong professionals understand that Python is only one part of a production system. They connect application code to relational and document databases, REST and event-driven interfaces, Linux environments, Docker, Kubernetes and cloud infrastructure. They also bring experience with version control, automated tests, observability, security reviews and clear technical documentation.
Choosing the right professional
Look for evidence that the specialist has delivered systems similar to yours, not just isolated scripts or notebooks. Ask how they handle dependency management, error recovery, data quality, performance and deployment. Strong Python professionals explain trade-offs in plain language, leave readable tests and documentation, and can work within your existing architecture. A practical review of a small technical task or past deliverable often reveals more than a list of libraries.
Frequently asked questions
Everything clients usually want to know about Python, in one place.
Python is used for web backends, automation, data engineering, scientific computing, machine learning and artificial intelligence services. It is also common in testing, reporting, internal tools and integrations because teams can connect many libraries and external systems quickly.
Python is often chosen for its readable syntax and broad data and machine learning ecosystem. JavaScript is central to browser applications, Java is common in large enterprise environments, and Go is attractive for lean, highly concurrent services. The right choice depends on runtime needs, existing systems and the skills already available in the team.
A strong Python specialist may also work with SQL, REST and event-driven APIs, Docker, cloud infrastructure, Linux, Git and automated testing. For data-heavy projects, knowledge of pandas, NumPy, orchestration and warehouse design matters. Machine learning work may require model serving, experiment tracking and responsible data handling.
The required depth depends on the risk and scope of the work. A small automation task may need focused scripting ability, while a customer-facing service or machine learning pipeline requires production design, testing, security and operational experience. Assess the specialist against comparable deliverables rather than a fixed tenure threshold.
Yes, Python projects are often well suited to remote collaboration because code, tests, documentation and deployment workflows are digital. Clear access controls, shared issue tracking and regular technical reviews are important. On-site sessions can still help with domain discovery, architecture decisions or workshops with Austrian stakeholders.
Review how the professional structures modules, tests edge cases, manages dependencies and explains operational risks. Ask for examples of monitoring, logging, failure recovery and documentation, not only a successful demo. A small paid assessment can show whether the code is maintainable and fits your existing systems.
Python is a leading choice for data products because libraries such as pandas, NumPy, scikit-learn and PyTorch cover preparation, modelling and experimentation. Production success still depends on data quality, reproducible pipelines, model monitoring and a reliable serving layer. A specialist should address the complete path from source data to business use.
An effective Python freelancer first understands the domain, architecture and release process before changing code. They reduce risk through small, tested improvements and communicate assumptions early. Familiarity with the project’s framework, database, deployment environment and team practices helps them contribute without creating a separate technical island.
The average hourly rate of freelancers in Austria who have used Python in their recent projects is 101 €, which corresponds to a daily rate of about 806 € based on an 8-hour working day.
Of the freelancers in Austria who have used Python in their recent projects, 89% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Austria who have used Python in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Austria who have used Python in their recent projects are German (99%), English (99%), and French (14%).
The most common industries among freelancers in Austria who have used Python in their recent projects are Information Technology (88%), Banking and Finance (41%), and Manufacturing (41%).
The most common business areas among freelancers in Austria who have used Python in their recent projects are Information Technology (98%), Product Development (78%), and Project Management (54%).
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 Countries:
- Germany
- Austria
- Switzerland
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FRATCH CEO
