Django REST Framework Experts in Germany
, matched in minutes with vetted, available freelancersHire experts who design REST APIs, secure Django backends and connect complex data models to web or mobile products. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Germany, who have recently used Django REST Framework
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Ashutosh T.
Last position:
Consultant at Brillio Technologies
- Developed backend for Audit Management Tool using Node.js/Express with Workday API integration.
- Built secure file handling (PDF, PPT, CSV) with AWS S3 and database support via PostgreSQL, Prisma, and MongoDB.
- Implemented validation, role-based access, and audit trails for compliance and data integrity.
Khaled T.
Last position:
Consultant / DevOps Engineer at Dr. Ing. h.c. F. Porsche Aktiengesellschaft
- Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
- Designed and implemented new authentication and authorization functionalities for both users and systems
- Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
- Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
- Methodologies: Scrum and SAFe
Christoph B.
Last position:
Freelancer & Managing Director at Capsimity GmbH
Jiri S.
Last position:
Quality Manager/Test Management at Noriba GmbH
- Test concept creation
- Creation of test processes
- Coordination of TC development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- HW testing: FPGA, RF
- Test automation and regression tests
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and the project manager
Frank B.
Last position:
Software Engineer at Freelancer
- Freelance Software Engineer with a focus on backend (Python/Django) and frontend (VueJS).
Domenik J.
Last position:
Python Engineer and Cloud Migration Consultant at Unknown
- Supported the company's transition from an on-premise architecture to AWS cloud services, modernizing infrastructure and optimizing operational efficiency.
- Leveraged expertise in automation and software implementation to enhance scalability, reliability and profitability.
- Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors.
- Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention.
- Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization.
- Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines.
- Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools.
Yevhen C.
Last position:
Python/Django Developer at Deuta Werke
- Expansion and maintenance of existing custom information systems based on Django
- Technologies used: Django, Django REST Framework, MySQL, Docker
Fabian J.
Last position:
System Integrator for Robotics and Web Development at SENPRO Sensortechnik GmbH
- Developed a collaborative robot cell for automated handling and silicone dispensing of sensor components.
- Responsible for mechanical design, electronics, software integration and final CE certification.
- A custom-designed tool-changing system enabled automated switching between handling and dispensing tools.
- Developed a Django-based control console for industrial robots for process monitoring, combining a real-time dashboard (WebSocket, Chart.js) and a RESTful API (DRF).
- It allows asynchronous program execution, live data and camera stream visualization, robot control, as well as statistical analysis and documentation of process data with an interactive Bootstrap interface.
- Technologies used: Universal Robots (URScript), Arduino, OpenCV, Python, Django/Django REST Framework (DRF), Channels, SQLite, Chart.js, Bootstrap, JavaScript, HTML/CSS, AutoCAD, Autodesk Fusion 360, design & fabrication with aluminum profiles, laser parts, specialized sheet metal, RoboDK simulation
Can S.
Last position:
Platform Engineer at ClimateChoice
In a lean, execution-focused environment, I took ownership beyond a narrow engineering lane, shaping and implementing systems across backend, data, and infrastructure. Partnered directly with the three founders in a fast-moving, high-stakes environment, turning strategic priorities into concrete technical decisions and production outcomes.
- Owned core platform development across backend (Django/Rest Framework/Postgres), ETL (Python/Dagster), infrastructure (Terraform/Kubernetes/AWS), and frontend (typescript/react) for a climate-tech SaaS product, driving continuous cross-stack development across five repositories from October 2021 to this day.
- Architected and owned a standalone internal Python scoring framework for CRC assessments, using YAML-driven rules and metaprogramming to enable non-technical users to define complex evaluation logic without hardcoded implementations.
- Built and stabilized ETL and scraping pipelines using Dagster and Scrapfly, improving document ingestion, tagging, retry behavior, deployment flow, and operational resilience.
- Contributed to platform modernization and reliability through Django/Python upgrades, Postgres/RDS and EKS changes, CDN/TLS updates, test and performance improvements, and observability hardening.
- Drove backend engineering for product features, translating requirements into technical specifications, API contracts, data structures, and scalable implementation plans.
Noushad H.
Last position:
Lead Engineer at Cogwheel Analytics
- Lead the software engineering team to develop scalable systems and infrastructure
- Provide architectural guidance, design efficient algorithms, and mentor team members
- Continue responsibilities of software and data engineering in hospitality analytics
- Communicate results and insights to a range of audiences utilizing statistics, machine learning
Philip I.
Last position:
Frontend/E-Commerce at Burda Solutions
- Further development of the Cyberport/Computerunivserse online shop with React, Next.js and SAP Commerce.
Patrick S.
Last position:
Senior Software Engineer at Delivery Hero
- Led a team of 6 software engineers to develop and maintain an AI-driven healthcare platform, enabling automated diagnostics and prescriptions based on real-time ECG data analysis
- Designed and developed a robust Revenue Cycle Management (RCM) system, integrating HL7 and FHIR APIs to enable seamless interoperability, real-time data exchange, and HIPAA-compliant data handling, improving billing efficiency, claim processing, and regulatory adherence in healthcare operations
- Migrated a legacy monolithic application to a scalable microservices architecture, enhancing system modularity, scalability and maintainability while implementing key design patterns such as Strangler, Database-per-Service, API Gateway, Saga and CQRS for efficient service communication and transaction management
- Architected and led a C# 9/.NET 6 microservices ecosystem handling hotel reservations, payments, and loyalty programs, enabling 99.99% uptime across 10+ services
- Defined OpenAPI/Swagger contracts and auto-generated client SDKs, reducing front-to-backend integration time by 50%
- Containerized each service with Docker and orchestrated deployments via Kubernetes, slashing release lead time from days to hours
- Designed PostgreSQL schemas optimized for high-volume transactional workloads and implemented Redis caching layers to accelerate read-heavy endpoints by 80%
- Built Kafka streaming pipelines for real-time availability updates and audit logs, processing 2 million+ events per hour with end-to-end delivery guarantees
- Implemented unit and integration tests for React applications using Jest and React Testing Library, ensuring 80%+ test coverage, improving component reliability, and preventing regressions
- Defined and deployed AWS cloud infrastructure using Terraform, while containerizing and orchestrating microservices with Docker and Kubernetes, improving automation and system scalability
- Built a scalable full-stack booking application using React 18 and Django REST Framework, integrating Celery and Redis for asynchronous task processing, while deploying on GCP with Cloud Run and Firestore, enabling real-time scheduling, payment processing, and automated notifications
- Mentored junior developers through code reviews, pair programming, and knowledge-sharing sessions, improving team efficiency by 30% while maintaining comprehensive API documentation using Swagger/OpenAPI
Syed Z.
Last position:
CTO | Lead Full-Stack Developer at RoutineX-IQrew
- Solo MVP in 3 Months -- PRD to SRS to production: 12 Django apps + React SPA with JWT auth, delivered ahead of schedule.
- Real-Time Backend -- Django REST APIs, WebSocket channels, Celery + Redis queues, role-based access across 4 user roles.
- Multi-Tenant SaaS -- Isolated tenant provisioning with Kubernetes, Helm, and FastAPI -- subdomain live in under one minute.
- CI/CD & Infrastructure -- 5 Hetzner servers, 3 repos, branch-specific GitHub Actions auto-deploy; Dockerized full stack.
- Team Leadership -- Hired and led 3 developers across 3 countries; closed 450+ Linear tickets in 9 months.
- Full Product Scope -- Courses, quizzes, PDF certificates, user imports, real-time notifications, analytics, and subscription management.
- Live Product -- Published at iqrew.de; app complete, SaaS in final testing, market launch imminent.
- SSO & Security -- Cross-platform SSO with single-use tokens, server-to-server validation, tenant isolation, and HTTPS auto-renewal.
- Test Strategy -- 3-layer pyramid: pytest, Jest/RTL + MSW, Playwright E2E with factory fixtures and role-based auth across all roles.
- Performance Engineering -- Locust stress tests identified N+1 bottlenecks (60s timeouts); optimized to sub-250ms at 50 concurrent users, 0% failures.
- Stripe SaaS Billing -- Stripe webhook-driven upgrades, automated tenant provisioning, self-service onboarding from checkout to live tenant.
Discover over 15,000 top freelancers
Statistics of experts using Django REST Framework
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.7 years
Positions per freelancer
7
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Advertising
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
100%
Master's degree or higher
50%
Doctorate
8%
Certifications per freelancer
1
Most common languages
German, English, Hindi
Speak two or more languages
100%
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 Germany 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.
Average rates of experts in Germany using Django REST Framework
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.
Django REST Framework 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 (93%)
- Retail (36%)
- Advertising (29%)
- Automotive (29%)
- Education (29%)
- Manufacturing (29%)
- Healthcare (21%)
- Transportation (21%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
API foundation
Django REST Framework, often called DRF, is a toolkit for building web APIs with Django and Python. It adds serializers, view sets, routers, authentication and permission controls to Django’s database and application framework. Teams use it to expose reliable data services for web apps, mobile apps and integrations.
What it builds
DRF supports APIs that serve customer portals, commerce systems, content products, internal tools and data-driven applications. Its structured approach helps teams maintain consistent endpoints as products grow.
- Design resource-based REST endpoints
- Serialize models and validate incoming data
- Add authentication, permissions and throttling
- Connect APIs with frontends, mobile clients and external services
Ecosystem and tooling
Strong DRF specialists work comfortably across the Django ecosystem, including the ORM, migrations, admin, forms and middleware. They may use PostgreSQL, Redis, Celery, Docker and cloud services alongside Python testing tools such as pytest. OpenAPI documentation, schema generation and API clients also matter for teams that need clear contracts.
When expertise helps
Companies often bring in freelance DRF expertise when an existing API needs clearer structure, stronger security or better performance. Specialists can also accelerate a new product, modernize a monolithic Django application or prepare an API for several client applications. In Germany, this work may involve remote delivery across locations or collaboration with an on-site product and compliance team.
- Replace fragile custom endpoints with consistent API patterns
- Introduce versioning, documentation and test coverage
- Review permissions, validation and sensitive data handling
- Improve query efficiency and background processing
Quality signals
A capable professional separates serializers, views, business logic and data access instead of placing everything in one endpoint. They define useful error responses, handle pagination and filtering deliberately, and test both successful and invalid requests. They also understand Django security defaults, database behavior and the operational needs of production APIs.
Working with specialists
Before engagement, clarify the API’s consumers, authentication model, data boundaries and deployment setup. A strong specialist can explain trade-offs between nested serializers, dedicated endpoints and alternative API styles such as GraphQL. Clear documentation, reviewable commits and a practical handover make remote collaboration effective, while German or English communication can be agreed around the wider team.
Frequently asked questions
Need clarity? These are the questions we hear most often about Django REST Framework.
Django REST Framework is used to build RESTful APIs on top of Django and Python. It helps teams expose database-backed resources, validate requests, manage authentication and connect web, mobile or external clients to business systems.
Django REST Framework is a strong choice when a project already depends on Django’s ORM, admin, authentication and mature application structure. FastAPI can suit API-first services that prioritize asynchronous patterns and automatic type-driven documentation, but the better option depends on the existing system and delivery goals.
A strong Django REST Framework specialist usually understands Python, Django models, PostgreSQL and API security. Useful adjacent skills include Docker, Redis, Celery, pytest, OpenAPI, cloud deployment and frontend or mobile integration.
The required experience depends on the API’s risk, data model and integration landscape rather than its size alone. For straightforward endpoints, a professional with solid Django and DRF delivery experience may be enough; complex permissions, high traffic or legacy migrations call for deeper system design and production experience.
Yes. Django REST Framework work is well suited to remote collaboration through version control, API specifications, review workflows and shared test environments. Agree early on communication language, working hours, documentation standards and access to German team systems or infrastructure.
Django REST Framework works well when resources, permissions and caching can be expressed through clear REST endpoints. GraphQL may be preferable when clients need flexible queries across connected data, but it introduces different caching, authorization and schema-management considerations.
Ask the professional to explain endpoint design, serializer boundaries, permission checks, query behavior and failure responses. Review tests for invalid input and unauthorized access, inspect API documentation, and check whether the implementation is maintainable rather than merely functional.
A Django REST Framework freelancer should clarify API consumers, authentication, data ownership, versioning, deployment and acceptance criteria. They should also ask about the current Django version, database constraints, existing documentation and who will maintain the service after handover.
The average hourly rate of freelancers in Germany who have used Django REST Framework in their recent projects is 78 €, which corresponds to a daily rate of about 626 € based on an 8-hour working day.
Of the freelancers in Germany who have used Django REST Framework in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Germany who have used Django REST Framework in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Germany who have used Django REST Framework in their recent projects are German (93%), English (93%), and Hindi (14%).
The most common industries among freelancers in Germany who have used Django REST Framework in their recent projects are Information Technology (93%), Retail (36%), and Advertising (29%).
The most common business areas among freelancers in Germany who have used Django REST Framework in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (36%).
Main locations of FRATCH Experts, who have recently used Django REST Framework
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
