Django Expert in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Django
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as frontend framework and Java as backend language
- Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with web interface and JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software
Mukund B.
Last position:
Voice AI Chatbot - Real-Time Audio Assistant
- ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.
Syed A.
Last position:
Senior Software Engineer at Giant Eagle
- Designed and developed AI-powered document processing solutions using Python, OCR, NLP, and Large Language Models (LLMs) to automate extraction, validation, and classification of financial documents, reducing processing time by 75%.
- Built intelligent multi-stage workflow automation pipelines integrating AI services, machine learning models, and enterprise systems to streamline financial operations and improve data quality.
- Developed reusable AI-driven transformation frameworks capable of processing structured and unstructured document formats (XML, CSV, JSON, TXT, DAT) and normalizing them into unified business schemas.
- Designed and developed Python-based REST APIs and backend services supporting enterprise finance applications and high-volume data processing workloads.
- Built scalable data synchronization pipelines between Oracle CFIN and SQL databases, incorporating machine learning models for cash-flow forecasting and AP/AR anomaly detection.
- Architected and deployed Apache Airflow workflows to orchestrate AI-powered data pipelines, automating end-to-end processing from document ingestion through financial system integration.
- Led the migration of critical enterprise integrations from MuleSoft to Python-based services, improving maintainability, performance, and operational flexibility while preserving complete data integrity.
- Managed the full API lifecycle including solution design, implementation, documentation, deployment, monitoring, and production support for mission-critical financial systems.
- Collaborated directly with finance stakeholders to identify business challenges, define solution requirements, and deliver measurable operational improvements through automation and AI-driven workflows.
- Worked closely with cross-functional engineering and business teams to rapidly iterate on features, improve processes, and drive successful adoption of AI-enabled solutions.
- Provided technical leadership through architecture reviews, technology decisions, code reviews, and engineering best practices across integration and automation initiatives.
- Mentored developers, established coding standards, and contributed to improving software quality, maintainability, and delivery effectiveness across projects.
- Provided production support during critical month-end and quarter-close financial processes, performing root-cause analysis and implementing rapid fixes to ensure system reliability and data accuracy.
Haseeb Z.
Last position:
Senior Data Scientist at WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
Muzamal A.
Last position:
Data Scientist / AI Consultant at HelmX
- Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
- Collaborated on product features, achieving measurable impact and maintaining strong client relationships.
Nino S.
Last position:
Freelancer in Data Science at International Companies
Proceeding what was started in 10/2023, offering data science development skills fulltime to international clients
Helping companies learn more about their existing (unstructured) data, optimize processes and technical systems, and derive solutions for their problems
Tools and technology used: Python (sklearn, pandas, numpy, Django, sqlAlchemy, pyTorch), Matlab, Docker, AWS EC2, Lambda, S3, SQL, MySQL, Hadoop & Spark, Machine Learning, DNN, AI, Jira, Confluence, Git, CI/CD, GitLab, Jenkins
Ashwin P.
Last position:
Data Scientist at Mercor Intelligence
- Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
- Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
- Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.
Tobias J.
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Frank B.
Last position:
Software Engineer at Freelancer
- Freelance Software Engineer with a focus on backend (Python/Django) and frontend (VueJS).
Maurizio F.
Last position:
Python Software Developer at Schönhofer Sales and Engineering GmbH
- Implemented a command line interface (CLI) for integration of REST APIs of various microservices for end users
- Centralized and simplified interaction with services through the CLI
- Implemented a REST microservice for custom data schemas based on an API-first approach
- Developed event-driven control with RabbitMQ to connect to other services
- Deployed services using Docker and Kubernetes and extended the CLI
- Managed complexity and data volume handling through the microservice
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.
Paulo A.
Last position:
Founder and Product Lead at Muvuca Solutions
- Lead a climate tech consultancy end to end, coordinating cross-functional teams, owning client strategy and project management, and delivering ESG strategies and AI-first products.
- Stay hands-on across discovery, analytics, roadmapping, architecture, and QA to safeguard execution quality.
- Designed, developed, and launched Jody, an AI travel planner (demo credentials provided).
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.
Ines R.
Last position:
Entrepreneur at ZuManAsha
- Built and operated a successful handmade tray business sold via Etsy and Spock, fulfilling 120+ orders and maintaining 5-star customer reviews.
- Managed 100% of the operations including product design, international shipping, and marketing across Instagram, TikTok, and Etsy, growing a global customer base.
Thomas S.
Last position:
GEDISA mbH
- Development of various backends (PHP) in a microservice architecture with STRENGTHS
- Development of administration interfaces with Laravel Filament diligent consistent agile
- Integration of third-party providers via REST interfaces patient attention to detail motivating
Discover over 15,000 top freelancers
Statistics of experts using Django
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 15 years)
Position duration
2.1 years (Germany: 2 years)
Positions per freelancer
8 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
94% (Germany: 96%)
Master's degree or higher
44% (Germany: 56%)
Doctorate
6% (Germany: 8%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, Spanish
Speak two or more languages
90% (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 Berlin 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 Berlin using Django
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 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 (90%)
- Retail (43%)
- Automotive (33%)
- Education (33%)
- Media and Entertainment (33%)
- Energy (24%)
- Healthcare (24%)
- Advertising (19%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Django at a glance
Django is a high-level web framework for Python. It provides routing, views, templates, forms, authentication and an object-relational mapper in one mature foundation. Companies use it for content platforms, customer portals, marketplaces, internal tools and data-driven business applications where reliable delivery and clear structure matter.
Typical applications
Django supports both public-facing products and complex back-office systems. Its conventions help teams move from an initial domain model to a maintainable application without assembling every web layer from scratch.
- Content management and publishing platforms
- Customer portals and account areas
- REST APIs for web and mobile products
- Workflow, reporting and operations software
- Marketplace and transaction platforms
Ecosystem and tooling
Strong Django specialists work across the wider Python ecosystem. Common tools include Django REST framework for APIs, PostgreSQL for relational data, Celery for background jobs, Redis for caching and task queues, and pytest for automated testing. They may also connect Django to React or other frontend systems, cloud infrastructure, Docker and continuous delivery pipelines.
When to bring in expertise
Companies often need freelance Django expertise when a product team is extending an existing codebase, replacing a fragile custom stack or preparing a platform for heavier usage. Specialists can shape the data model, establish API boundaries, improve performance, modernize dependencies and document decisions. In Berlin, Django work may support technology, media, commerce, research and other sectors; remote collaboration is common, while on-site workshops can help with discovery and handover.
What strong specialists deliver
A capable professional looks beyond rapid feature output. They clarify domain rules, choose appropriate model relationships, protect sensitive data and keep business logic testable. They understand Django’s built-in security features, including protection against common web attacks, and know when to use framework conventions or introduce a focused extension.
- Clean models, migrations and admin workflows
- Tested views, serializers and permissions
- Secure authentication and authorization
- Observable background tasks and integrations
- Practical documentation for the internal team
Choosing the right fit
Review work that resembles your system rather than relying on framework familiarity alone. Ask how the specialist approaches legacy Django versions, database queries, deployment, testing and third-party integrations. Relevant experience with Python, SQL, HTTP, Git and frontend or cloud tooling can reduce handover risk. Agree on communication, working hours and German or English language expectations before delivery begins.
Frequently asked questions
Curious about Django? Here are the answers that come up again and again.
Django is used to create database-backed web applications, APIs, portals, publishing systems and internal business tools with Python. Its integrated routing, authentication, forms, administration interface and ORM help teams deliver structured products efficiently.
Django offers a broad, integrated framework with strong conventions and many built-in features. Flask is smaller and more modular, while FastAPI is often chosen for modern API services and asynchronous workloads. The right choice depends on product scope, existing Python skills and the need for an integrated administration and data model.
A strong Django specialist usually understands Python, SQL, HTTP, Git and automated testing. Depending on the assignment, useful adjacent skills include PostgreSQL, Docker, Celery, Redis, cloud deployment, frontend integration and API design.
A small, clearly bounded application may need focused Django expertise for architecture, implementation and handover. A legacy platform, high-volume workflow or complex integration needs someone comfortable with data migrations, performance analysis, security and release processes. Assess the project’s risk and domain complexity rather than choosing by a fixed experience label.
Yes. Django work is well suited to remote collaboration through Git, issue tracking, reviews, automated tests and shared documentation. Berlin teams should define overlap hours, decision ownership and whether German or English is expected for product and technical communication.
Look for clear models, focused business logic, safe migrations, meaningful tests and consistent API boundaries in Django projects. Also review query efficiency, error handling, permissions, dependency maintenance and deployment documentation. Good specialists explain trade-offs instead of hiding complexity behind framework defaults.
Yes. Django paired with Django REST framework can provide authenticated, documented and testable APIs for web, mobile and external clients. Teams should still define serialization, permissions, versioning, validation and background processing carefully as the API grows.
A company should review its Django application when security updates are difficult, dependencies block delivery, tests are unreliable or database performance is unclear. Modernization can involve incremental upgrades, stronger observability, improved deployment and targeted refactoring rather than a full rewrite.
The average hourly rate of freelancers in Berlin, Germany who have used Django in their recent projects is 85 €, which corresponds to a daily rate of about 680 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Django in their recent projects, 94% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Django in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used Django in their recent projects are English (100%), German (86%), and Spanish (19%).
The most common industries among freelancers in Berlin, Germany who have used Django in their recent projects are Information Technology (90%), Retail (43%), and Automotive (33%).
The most common business areas among freelancers in Berlin, Germany who have used Django in their recent projects are Information Technology (90%), Product Development (90%), and Business Intelligence (62%).
Main locations of FRATCH Experts, who have recently used Django
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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Munich 
Frankfurt Request a free demo
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