Python Experts in Austria
matched in minutes by AIHire experts who deliver data platforms, machine learning services and reliable web backends with Python, Django, FastAPI and modern cloud tooling. FRATCH connects you with vetted, available freelancers whose skills fit your project precisely and quickly.
Meet FRATCH Experts in Austria, who have recently used Python
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.
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis 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
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business 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
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- 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
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.
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.
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
Karl F.
Last position:
Managing Director at ONECEPT GmbH
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)
Daniel S.
Last position:
AI Automation in E-Commerce at Looops
- AI automation roadmap for a D2C/B2B e-commerce company.
- Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
- Deterministic n8n workflows with EU-hosted models.
- n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.
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.
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
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.
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
3 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Manufacturing, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
88%
Master's degree or higher
67%
Doctorate
11%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
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 Austria 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 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 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 (87%)
- Manufacturing (44%)
- Banking and Finance (42%)
- Education (39%)
- Professional Services (34%)
- Government and Administration (29%)
- Healthcare (26%)
- Transportation (26%)
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, automation, data processing, scientific applications and machine learning. Its clear syntax supports fast iteration, while a broad standard library and mature open-source ecosystem help teams move from prototype to production.
Where it is used
Python supports products and internal systems across finance, manufacturing, life sciences, retail and public services. Common project goals include:
- Building APIs and web applications with Django, Flask or FastAPI
- Training, serving and monitoring machine learning models
- Automating operations, reporting and data workflows
- Processing documents, events and large analytical datasets
Ecosystem and tooling
Strong Python professionals work across frameworks, libraries and delivery tools rather than in the language alone. They may use pandas and NumPy for data work, PyTorch or scikit-learn for machine learning, Celery for background tasks, and PostgreSQL, Redis or cloud services for production systems. Testing with pytest, dependency management and container workflows are equally important.
When companies hire specialists
Companies bring in freelance Python expertise when a new service needs a reliable foundation, an existing codebase needs modernization, or internal teams face a complex data or automation task. In Austria, remote collaboration can support local product teams while on-site workshops remain useful for discovery, security reviews and handovers. Clear English or German communication should match the project team.
What strong experts deliver
A capable specialist turns an unclear requirement into maintainable, observable software. They define interfaces, choose suitable libraries, protect sensitive data and make performance trade-offs visible. They also document decisions, automate tests and leave a deployment process that the internal team can operate without depending on one person.
How to assess fit
Review work that resembles your system, not just a list of Python keywords. Ask how the professional approaches testing, version upgrades, data quality, security and failure recovery. For machine learning work, examine how models are evaluated in the real workflow; for web systems, discuss API design, scaling and monitoring. A focused trial or technical discussion can reveal communication and delivery quality early.
Frequently asked questions
Everything clients usually want to know about Python, in one place.
Python is used for web applications, APIs, automation, data pipelines, scientific software and machine learning systems. It also works well for scripting repetitive tasks and connecting services through integrations.
Python usually offers faster development and a particularly broad data and machine learning ecosystem. JavaScript is often central to browser interfaces, Java suits many large enterprise systems, and Go is valued for simple, efficient services, so the best choice depends on the workload and team.
A strong Python specialist may also understand SQL, Git, Linux, Docker, cloud infrastructure and continuous delivery. Depending on the project, useful adjacent knowledge includes Django or FastAPI, REST and GraphQL APIs, message queues, pandas, PyTorch and PostgreSQL.
The right level for Python depends on risk, scope and existing architecture rather than a fixed number of years. A small automation task may need focused scripting expertise, while a regulated data product requires proven testing, security, deployment and operational experience.
Python work is well suited to remote collaboration when repositories, requirements and review practices are clear. For Austrian teams, agree on working hours, German or English communication, documentation standards and occasional on-site sessions before the engagement starts.
Python is suitable for production when the system is designed, tested and monitored properly. Teams should address dependency management, security updates, concurrency, observability and deployment early, especially for services handling sensitive or time-critical data.
Assess whether the Python professional explains trade-offs clearly and shows maintainable, tested work. Ask about error handling, code review, performance profiling, documentation and how they would measure success after release.
Working with Python often means joining a wider ecosystem rather than writing isolated scripts. Professionals should be ready to collaborate with product, data and infrastructure teams, understand deployment constraints and adapt their approach to an established codebase.
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 807 € based on an 8-hour working day.
Of the freelancers in Austria who have used Python in their recent projects, 88% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Austria who have used Python in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 3 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 (87%), Manufacturing (44%), and Banking and Finance (42%).
The most common business areas among freelancers in Austria who have used Python in their recent projects are Information Technology (97%), Product Development (78%), and Operations (51%).
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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