Python Experts in Dresden
matched in minutes with vetted, available freelancersHire experts who build data platforms, automation services and machine learning solutions with Python, using tools such as Django, FastAPI, pandas and PyTorch. FRATCH finds a precise match quickly from vetted, available freelancers.
Meet FRATCH Experts in Dresden, who have recently used Python
Khaled M.
Last position:
Principal Cloud Solutions Architect II at Schrödinger GmbH
- Understand the customer’s business & technical requirements and translate them into system / technical requirements
- Design and implement Schrodinger’s applications on cloud systems, and experience convincing senior management and senior technical staff of the benefits of their journey with Schrodinger on the cloud
- Provide exceptional technical design and thought leadership, especially around AWS, GCP, and K8s architecture reviews, performance, high availability, cost, and security
- Deep understanding of the Well-Architected pillars and all best practices for building a secure, performant Schrodinger’s applications on the cloud platforms
- Lead technical workshops and advise customers on architectural and strategic IT decisions
- Ensure success in designing, building and migrating applications, software, and services on the cloud platforms
- Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud
- Work with other team members to ensure quality and customer success
- Define the tickets, tasks, and timelines of projects
- Collaborate with account managers to ensure that the projects are executed according to the defined plan and timeline
- Monitor the progress of the projects, identify risks and issues, and take proactive measures to mitigate them
- Lead and inspire cloud architect teams, provide guidance, and make critical decisions
- Facilitate effective communication and collaboration among team members
- Collaborate with Schrodinger’s managers to improve deployment, support, and configuration of Schrodinger’s applications
- Lead weekly standups and define priorities
Matthias V.
Last position:
Senior .NET / Xamarin Lead Developer at Appsfactory GmbH
- Development of backend systems with ASP.NET and MS SQL, plus client integration via AngularJS.
- Responsibility for the architecture and implementation of cross-platform apps for iOS, Android, and Windows with Xamarin native & Xamarin.Forms.
- External Xamarin consultant for business partners.
Nikhil G.
Last position:
Co-founder / Solution Architect at Lima Care GmbH
- Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
- Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
- Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
- Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
- Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
- Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
- Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification
Michael K.
Last position:
Atruvia AG
- Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
- Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
- Writing unit and integration tests with JUnit and JGiven.
- Performing and analyzing performance measurements with Dynatrace.
- Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
- Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Dietrich C.
Last position:
Linux Systems Engineer at Personal Projects and Further Training
- Skills: ACLs, Android, Ansible, Apache, Backup, Bash, BindFS, Modern C++, CFEngine, ClusterSSH, CSS, CUPS, Debian, DHCP, DNS, dovecot, exim4, Firewall, FUSE, GIMP, Git, gnupg, HTML, IMAP, IPv4, Kerberos, LDAP, LineageOS, Linux, Mercurial, NAT, Networking, NFSv4, OpenPGP, OpenSSH, OpenSSL, OpenVPN, PHP, pxelinux, Python, RAID, Responsive Web Design, Routing, Shorewall, SMTP, SSHFS, SSL/TLS, systemd, TFTP, UPS, VPN, X11, XMPP
Pierre J.
Last position:
Postdoctoral Researcher at Anna Poetsch’s Biomedical Genomics group, Dresden
- Benchmarked multiple LLMs for genomic prediction tasks, ensuring rigorous evaluation across architectures and datasets.
- Extended and streamlined in-lab LLM architecture, enhancing interpretability and broadening applicability.
- Identified sequence and epigenetic factors underlying human genome stability, enabling deeper insights into their distinct roles in genome biology.
- Mentored and designed projects for several master’s students and interns, leading to highly graded reports and development of pipelines with lab-wide applications.
Reinhard D.
Last position:
Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education
- Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
- Operating system: Windows
- Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
- Programming languages: Python 3.10
- Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch
Rohan K.
Last position:
Personal Project at Strategic Initiative | Corporate Health and Wellness
- Initiated and led a cross-functional innovation initiative to evaluate scalable digital wellness solutions for enterprise environments, applying strategic product planning and user research methodologies.
- Developed a sustainable business model through analysis and contributed to the rollout strategy.
Samir E.
Last position:
Research Assistant / PhD Student at TU Dresden
- Supported research in continuum mechanics with emphasis on finite element modeling, material behavior, wear mechanics, and coupled PDE formulations.
- Developed and validated numerical simulations, performed data processing and analysis, and contributed to technical publications.
- Assisted with automation scripts, preparation of figures and documentation, and day-to-day project coordination to ensure smooth research progress.
- Implementation of algorithms is performed in Fortran and Python.
Artur R.
Last position:
Senior DevOps Engineer at Infineon Technologies AG
- Java and Groovy development
- Administration of Docker Compose (incl. installation, configuration and maintenance)
- Linux systems like Debian
- Git, Jenkins, Artifactory, Sonarqube, SVN
- Administration of Atlassian products like Bitbucket, Jira, Crucible, Fisheye
- Monitoring tools like Elasticsearch, Prometheus
- Practical experience with DevOps tools like Puppet, Maven
- Scripting in Python, Perl, Shell and Powershell
- Helm chart script development
- End to end new framework development in Python, Groovy including Jenkins and Gitlab CI/CD pipelines
- Gitlab runner CI/CD development
- Openshift Kubernetes administration and development
Abdelrahman A.
Last position:
Internship in Software Development at Fraunhofer Institute for Photonic Microsystems
- Programming in Python to develop backend solutions and data processing tasks.
- Developing user interfaces with React.js to create intuitive and user-friendly applications.
- Designing and implementing a document management system to improve access, traceability, and updating of technical documentation.
Tim R.
Last position:
AI Engineer at Novo Nordisk
- Streamlining massive production processes serving millions of patients for Europe’s most valuable company
Nikhil B.
Last position:
Master Thesis Student at Infineon Technologies
- Development of a Virtual Exposure Matrix Using Artificial Intelligence for Lithography Processes in Semiconductor Manufacturing
- Machine Learning (KNIME, Python)
Pablo A.
Last position:
Drainage Engineer & Flood Risk Consultant at Remote
- Creation of flood risk assessments for planning approval
- Drainage designs with SuDS in Causeway Flow (SWMM)
- Leading and ensuring compliance across projects
- Liaison with stakeholders
Philipp A.
Last position:
Cloud and DevOps Engineer Web2.0 + Web at decentnodes
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 16 years)
Position duration
2 years (Germany: 5.1 years)
Positions per freelancer
8 (Germany: 10)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Education, Energy
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
75% (Germany: 69%)
Doctorate
38% (Germany: 12%)
Certifications per freelancer
3
Most common languages
English, German, Arabic
Speak two or more languages
100% (Germany: 98%)
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 Dresden 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 Dresden 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 (67%)
- Education (50%)
- Energy (28%)
- Manufacturing (28%)
- Biotechnology (22%)
- Banking and Finance (22%)
- Healthcare (22%)
- Aerospace and Defense (17%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Python does
Python is a high-level programming language used for web services, data processing, automation, scientific computing and machine learning. Its readable syntax and broad standard library help teams move from a tested idea to a maintainable product. Python also connects well with databases, cloud services and existing enterprise systems.
Where it fits
- Web applications and APIs with Django, Flask or FastAPI
- Data pipelines, reporting workflows and business automation
- Machine learning, natural language processing and computer vision
- Scientific models, simulations and research tooling
- Test automation, internal tools and integration services
Python runs across startups, research organisations and industrial companies. In Dresden, specialists may support manufacturing, mobility, semiconductor, life sciences and public-sector projects, whether the team works locally, remotely or in a hybrid setup.
Ecosystem and tooling
Python projects often use Django, Flask or FastAPI for application services and pandas, NumPy and Jupyter for data work. PyTorch and scikit-learn support machine learning, while Celery handles background tasks and pytest supports reliable testing. Strong professionals also work with SQL, Git, Docker, Linux, cloud services and CI/CD pipelines.
When to bring expertise
- A prototype must become a secure, maintainable service
- Data flows need validation, orchestration and monitoring
- A team needs help selecting frameworks or structuring a codebase
- An existing Python system requires performance or reliability improvements
Freelance expertise is useful when delivery pressure exceeds internal capacity or a project needs a specialist skill. A professional can establish architecture, document decisions and transfer knowledge without creating unnecessary dependency.
What strong professionals deliver
A strong Python specialist starts with clear requirements and chooses the simplest suitable design. They separate application logic from infrastructure, handle errors deliberately and protect sensitive data. Their work includes readable code, automated tests, useful documentation and observability that makes production issues easier to diagnose.
They also understand trade-offs. Python may be ideal for rapid product development and data-heavy services, while a compiled language can suit particular latency or resource constraints. Good specialists explain those choices in terms of the system’s actual needs.
How to assess fit
Review shipped work that resembles the planned system, not just a list of libraries. Ask how the professional approaches testing, dependency management, deployment, security and performance under real load. A practical discussion about data models, API boundaries or model evaluation often reveals more than a generic coding exercise.
For Dresden-based collaboration, clarify the expected balance of on-site workshops and remote delivery, as well as the working language. The right professional communicates risks early, adapts to existing engineering standards and leaves the team with a system it can operate and extend.
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 is also common for internal tools, testing and integrations between business systems.
Python is often chosen for readable code, rapid iteration and its strong data and machine learning ecosystem. JavaScript is central to browser applications, Java is common in large enterprise systems, and Go can be attractive for lean services with strict performance or deployment requirements.
A capable Python specialist may also work with SQL, REST APIs, Git, Docker, Linux, cloud infrastructure and CI/CD. Depending on the project, useful adjacent skills include Django or FastAPI, pandas, PyTorch, message queues and database design.
The right level depends on the system’s risk and scope, not on a fixed duration. A small automation task may need focused Python delivery, while a production platform or machine learning service calls for proven architecture, testing, security and operations skills.
Yes. Python work is well suited to remote collaboration through version control, issue tracking, code review and shared development environments. Teams in Dresden should define meeting routines, documentation standards and whether occasional on-site workshops or German-language communication are required.
Python may not be the best primary choice for extremely latency-sensitive components, very constrained devices or workloads where runtime and memory overhead dominate. A specialist should assess those constraints and may recommend combining Python with another language for selected services.
Look for clear structure, automated tests, dependency control, secure handling of data and documentation that another professional can use. Ask the specialist to explain trade-offs in a real code sample and how they would monitor, deploy and improve the system after release.
A strong Python professional should be comfortable reading an existing codebase, agreeing on style and testing practices, and working with product or data stakeholders. Experience with packaging, virtual environments, type hints and production observability helps teams keep delivery predictable.
The average hourly rate of freelancers in Dresden, Germany who have used Python in their recent projects is 84 €, which corresponds to a daily rate of about 669 € based on an 8-hour working day.
Of the freelancers in Dresden, Germany who have used Python in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 38% hold a doctorate.
On average, freelancers in Dresden, Germany who have used Python in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Dresden, Germany who have used Python in their recent projects are English (100%), German (94%), and Arabic (22%).
The most common industries among freelancers in Dresden, Germany who have used Python in their recent projects are Information Technology (67%), Education (50%), and Energy (28%).
The most common business areas among freelancers in Dresden, Germany who have used Python in their recent projects are Information Technology (83%), Product Development (67%), and Research and Development (67%).
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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