Python Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used Python
Hooman Behmanesh
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Burhan Dinler
Last position:
Enterprise Architect & Solution Architect at DB Netz AG
With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.
- Capture current architectures of existing systems as well as methodical consulting and development of target architectures
- Deepen and maintain the building plan / target IT landscape
- Implement technical architecture concepts & architecture descriptions
- Implement migration concepts for updating and further developing the platform and information systems
- Assess submitted improvement suggestions as part of the project
- Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
- Create a compatibility matrix of the components in use and compare dependencies of specific versions
- Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
- Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
- Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
- Advise the Release Train Engineer / Project Manager in identifying project risks
- Advise the System Architect Engineers in steering the implementation of the concept
- Implement the IT concept
- Document the infrastructure
Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot
Christoph Sawicki
Last position:
Test Manager at Logistics
- Coordination and planning, execution, documentation, and analysis of test cases
- Development of test concepts considering best practices (e.g., test pyramid) with a focus on reliable, automatable test runs
- Implementation and maintenance of test cases according to the test concepts
- Technologies: Citrix Workspace, Shopify, Jira, Xray, MS Teams, MS SharePoint, Confluence, MS Office 365
Alexander Bromberg
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Nenad Biresev
Last position:
Safety Video Analytics Project for Airbus at Airbus
- Developed a real-time video analytics proof-of-concept for deployment on NVIDIA Jetson edge devices.
- Implemented DeepStream pipelines including object detection, tracking, human pose estimation, face anonymization, and zone intrusion detection.
- Built a Qt/Python demonstration UI interfacing with the AI pipeline via REST APIs.
Beshr Alnirabieh
Last position:
System Administrator – HealthCare IT & Data Infrastructure at Cellitinnen Hospital Association
- Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
- Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
- Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
- Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
- Requirements management and test coordination when implementing clinical requirements in complex IT structures.
Rodion Orlinskiy
Last position:
Founder, CTO & Managing Director at MYNR Product Mining GmbH
- Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
- Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
- Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
- Developed graph-based representations of product structures and dependencies for analytical reasoning.
- Designed and implemented an agentic AI framework for AI-supported decision workflows.
- Built scalable analytical microservices and integrated reporting through modern BI technologies.
- Coordinated backend, AI, and frontend development across the MYNR platform stack.
Maurice Hartwig
Last position:
Senior Product Owner at Hydra Lynx Ltd
- Brought together AI initiatives through central coordination and integration of artificial intelligence projects to increase efficiency and business value.
- Identified and prioritized AI use cases through business process analysis and translated them into structured product backlogs and roadmaps.
- Led change management activities, including the rollout of new digital tools, communication strategies, and training concepts to support cultural change.
- Managed requirements and processes through end-to-end requirements analysis, process modeling, and organizational optimization.
- Scaled agile practices (Scrum, Kanban, OKRs) and promoted cross-functional collaboration and continuous improvement.
- Supported company-wide digital transformation by leading technical change initiatives and strengthening collaboration models.
Fahad Razzaq
Last position:
Data Science – Operations Optimization at Netto-marken
Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.
- Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
- Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
- Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.
Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI
Muhammad Jamshaid Iqbal
Last position:
Embedded Linux Intern – IoT Sensor Prototype Development at DHL
- Built a modular C++ 20 embedded Linux acquisition system on a Raspberry Pi, synchronizing IMU and dual-camera data streams to sub-millisecond accuracy.
- Integrated retro-reflective and contrast sensors to trigger acquisition and detect gaps between sorter rails.
- Implemented SPI & I2C sensor communication, GPIO interrupt handling with libgpiod, and CSV & JSON output.
- Designed a multi-threaded acquisition pipeline and an SPSC queue between acquisition and writer threads.
- Built a Python/HTML/CSS based web-server and validated the prototype in a DHL warehouse for defect detection.
- Documented software behavior, configuration, and results for maintainable handover and further development.
Sophia Wagner
Last position:
AI Engineer & Technical Consultant at Freelance
- Delivered ML pipelines for OCR, semantic search, and computer vision
- Integrated Azure AI Agents and GPT workflows for automation and QA
- Deployed cloud-based FastAPI services with scalable architecture
- Created integration docs and advised on LLM production readiness
Rainer Langbehn
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
As-is analysis
Evaluation of Redgate Flyway functionality
Concept creation
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Skills: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Hüseyin Altuntas
Last position:
Business Analyst at Niedersächsisches Ministerium für Inneres, Sport und Digitalisierung
- Responsibility, also as rollout manager, for the successful transition of a basic OZG platform into the client's standard operations by planning and implementing measures along Service Transition and Service Operation according to ITIL, including workshops in a SAFe environment with more than 40 operational stakeholders
- Building and maintaining cross-organizational stakeholder relationships by organizing and running various information sessions on technical configurations and user guides (platform and EfA services)
- Designing and improving various operational and project documents such as the ITIL operations manual, OLA, SLA, service support concept and rollout instructions
- Modeling project-based processes according to BPMN 2.0, EPK and UML related to OZG services with the goal of integrating them into the operational e-government process landscape (SOA)
- Coordinating operational stakeholders and KPI reporting to the project management team using agile methods according to SAFe
- Tech stack / tools: Microsoft 365 (SharePoint, OneNote, Outlook, Teams), Skype for Business, Cisco Webex, ADONIS, MindManager, Jira, Confluence
Stefan Marx
Last position:
Bundesrechtsanwaltskammer
- Design, planning and execution of complex acceptance tests for a document exchange platform for the German justice authorities.
- Validation of decrypted and certificate-based message exchange via web platform, mobile app, and Java API.
- Documentation of test cases, execution steps, and test results.
- Technologies: Windows 11/10, Ubuntu, iOS, Android, Bash for Windows, Java 17, IntelliJ, Git, Jira, Confluence, Citrix Server, xJustiz standard implementation, specific justice software.
Thomas Pawlitzki
Last position:
Freelance Software Architect at Self-employed
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2 years (Germany: 5.1 years)
Positions per freelancer
11 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Transportation, Education
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
92% (Germany: 94%)
Master's degree or higher
77% (Germany: 69%)
Doctorate
11% (Germany: 12%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
98%
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 Cologne 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 Cologne 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 for real products
Python is used to build web back ends, data pipelines, internal tools, scripts, and automation that ties systems together. It fits projects that need speed in delivery, readable code, and a broad library ecosystem.
What strong experts know
- Web frameworks such as Django, Flask, and FastAPI
- Data work with pandas, NumPy, and Jupyter
- APIs, background jobs, and service integrations
- Testing, packaging, and clean deployment flow
Good professionals understand where Python is the right tool and where another stack is a better fit. They write code that is easy to maintain, not just easy to ship.
When companies bring help in
Teams often look for freelance Python specialists when a product needs a new service, a legacy script must be cleaned up, or a data flow has become fragile. They also help when an internal team needs support for reviews, refactoring, or a short delivery burst.
Common project work
- Build and extend APIs with Django, Flask, or FastAPI
- Automate reporting, imports, exports, and ops tasks
- Connect Python with databases, queues, and cloud services
- Refactor older code and improve test coverage
In Cologne, Python experts often support teams that work across commerce, media, logistics, and enterprise systems. They can join on-site when needed, but many tasks fit remote work well.
Skills around the stack
A strong Python specialist usually brings SQL, Git, Linux, Docker, and basic cloud knowledge. For data work, pandas and ETL tools matter; for product work, HTTP, auth, and API design matter more.
Quality that stands out
The best experts keep code simple, name things clearly, and leave a project easier to hand over. They also ask the right questions early: runtime, dependencies, deployment model, security needs, and who will maintain the result after delivery.
Frequently asked questions
Everything clients usually want to know about Python, in one place.
Python is often used for web back ends, internal tools, automation, data processing, and integration work between systems. It is also common for scripts that replace manual steps and for services that need to evolve quickly. Companies like it when they need readable code and a broad library ecosystem.
Python is usually chosen for speed of delivery, clarity, and a strong ecosystem for web and data tasks. Java is often preferred for larger enterprise systems, JavaScript for browser-heavy product work, and Go for compact services with a strong focus on concurrency. The right choice depends on the product, team, and long-term maintenance plan.
A strong Python specialist often works with Django, Flask, or FastAPI for web APIs and services. For data work, pandas, NumPy, and Jupyter are common; for delivery, Git, Docker, SQL, and CI tools matter. The right mix depends on whether the project is product, data, or automation focused.
Not every Python task needs deep platform expertise, but the risk rises quickly when code touches production systems, data pipelines, or integrations. Simple scripting can be handled by a lighter profile, while API design, refactoring, and deployment work call for a specialist who has done it before. If the code will stay in use, quality matters more than speed alone.
Yes, most Python work fits remote collaboration very well, especially API work, automation, and code reviews. In Cologne, some teams still want on-site time for kickoff, planning, or sensitive system access. The best setup is often a mix: remote delivery with a few in-person touchpoints when needed.
Yes, Python is one of the most common choices for data workflows and automation because it has strong libraries and a clear syntax. It fits reporting, transformations, scheduled jobs, and system glue work across many environments. For teams that need both analysis and production delivery, it is often a practical default.
A strong Python professional writes code that is easy to read, tests important paths, and explains trade-offs clearly. Look for experience with deployment, debugging, dependencies, and the specific framework or data stack your project uses. Good questions about architecture and maintenance are usually a positive sign.
A careful Python freelancer will ask about the runtime, framework, data sources, deployment target, and who owns the code after delivery. They should also want to know whether the work is a new build, a rescue project, or an extension of an existing system. Those answers shape the approach and avoid surprises later.
The average hourly rate of freelancers in Cologne, Germany who have used Python in their recent projects is 92 €, which corresponds to a daily rate of about 734 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Python in their recent projects, 92% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Cologne, Germany who have used Python in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Cologne, Germany who have used Python in their recent projects are German (100%), English (97%), and French (17%).
The most common industries among freelancers in Cologne, Germany who have used Python in their recent projects are Information Technology (80%), Transportation (39%), and Education (38%).
The most common business areas among freelancers in Cologne, Germany who have used Python in their recent projects are Information Technology (91%), Product Development (70%), and Business Intelligence (56%).
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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Dusseldorf 
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Essen 
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Nuremberg Request a free demo
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FRATCH CEO
