
Django Experts in Frankfurt
matched in minutes by AIHire experts who deliver secure web applications, REST APIs and data-heavy platforms with Django, Python and its mature ecosystem. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used Django
Alexander H.
Last position:
Freelance Full-Stack Engineer & Technical Lead at Self Employed
- Full-stack TypeScript development
- Application architecture
- Technical leadership
- Infrastructure and scalability
- Legacy and architecture migrations
- Building and improving production applications
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
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Kevin M.
Last position:
Backend & Infrastructure Engineer at Mileo Systems GmbH
- Engineered production-ready Azure environments using Terraform, ensuring consistent infrastructure parity across VNets and Resource Groups
- Implemented Microsoft Fabric tenant and workspace architecture for multi-stage Medallion data processing pipelines
- Designed secure data pathways using Managed Private Endpoints for isolated Azure Storage access
- Managed Service Principals and authentication tokens for secure REST API integrations
Marie-Josée M.
Last position:
Java Engineer / Developer at Davaso GmbH
- Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
- Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
- Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
- Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
- Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.
Krunal P.
Last position:
Technical Project Manager at Moon Technolabs Pvt. Ltd.
- Manage end-to-end delivery of software projects across healthcare, gaming, and communication domains.
- Serve as Project Manager, Product Owner, and Scrum Master for multiple Agile teams.
- Oversee scope definition, sprint execution, and delivery tracking using Jira and Confluence.
- Design technical architectures and API strategies integrating Twilio, CRMs, and VoIP systems.
- Lead AI/ML projects implementing recommendation engines and automation workflows.
- Support pre-sales with effort estimation, technical documentation, and proposal reviews.
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Delly F.
Last position:
Dad of 2 daughters at Family
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.
Dhruvil K.
Last position:
Junior Software Developer at Monarchy Infotech
- Developed and maintained web-based applications using HTML, JavaScript, PHP, Python, and MySQL.
- Assisted in the analysis, design, testing, and implementation of software solutions.
- Collaborated with various teams to gather project requirements and deliver quality results.
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data, including text, images and video
- Databricks workspace setup and administration
- Implementation of a medallion architecture to ensure data quality
- Evaluation of potential BI tools (Power BI, AWS Quicksight, Tableau)
- Establishment of MLOps using MLFlow
- Introduction of data governance and data lineage using Unity Catalog
Discover over 15,000 top freelancers
Statistics of experts using Django
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 15 years)

Position duration
1.6 years (Germany: 2 years)

Positions per freelancer
12 (Germany: 10)

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Banking and Finance, Education

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
50% (Germany: 56%)
Doctorate
10% (Germany: 8%)

Certifications per freelancer
2

Most common languages
German, English, French

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 Frankfurt 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 Frankfurt 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 (100%)
- Banking and Finance (45%)
- Education (36%)
- Transportation (36%)
- Retail (36%)
- Healthcare (27%)
- Insurance (27%)
- Media and Entertainment (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Django foundations
Django is a Python web framework for building secure, maintainable applications quickly. It includes routing, forms, authentication, an object-relational mapper and an administrative interface, so teams can focus on product logic instead of repeating basic web work. Its batteries-included approach suits both focused services and complex business platforms.
Products and use cases
Django specialists deliver customer portals, content platforms, internal tools, marketplaces and data-driven applications. They structure reusable applications, expose APIs and connect business workflows to reliable persistence layers.
- Design models, permissions and business rules
- Build server-rendered interfaces and REST APIs
- Create administration workflows for operational teams
- Integrate payments, search, messaging and external services
Ecosystem and tooling
Strong Django work usually combines Python, PostgreSQL and a clear deployment process. Common tools include Django REST framework, Celery for background tasks, Redis for queues or caching, and pytest for automated checks. Specialists may also work with Docker, GitHub Actions, Nginx and cloud infrastructure.
When freelance expertise helps
Companies often bring in a Django professional when a prototype needs production structure, an existing application has become difficult to change, or a new API must connect several systems. In Frankfurt, remote collaboration can support local product, finance, logistics and service teams while keeping communication clear across German- and English-speaking stakeholders.
- Modernize legacy Django applications
- Improve performance, security and test coverage
- Prepare releases, migrations and deployment pipelines
What strong specialists deliver
Quality is visible in deliberate data models, small maintainable applications and explicit permission rules. Good professionals understand database indexing, transaction handling, caching, asynchronous work and API design. They document trade-offs, test important paths and make operational concerns visible before release.
Choosing the right fit
Match the specialist to the system’s real constraints: product scope, existing Python code, data sensitivity, integrations and hosting model. Ask for examples of comparable Django work and discuss how they handle migrations, security updates and production incidents. A strong fit can explain technical decisions in business terms and collaborate effectively with an internal team or independently.
Frequently asked questions
Everything clients usually want to know about Django, in one place.
Django is used to build secure web applications, content systems, customer portals, internal tools and data-heavy platforms. It is also a strong foundation for APIs and products that need authentication, structured data and clear administration workflows.
Django provides more built-in structure, including an ORM, authentication, forms and an admin interface. Flask is more minimal and flexible, while FastAPI is focused on modern API services and high-performance asynchronous patterns; the right choice depends on the product and team.
A strong Django specialist usually works confidently with Python, relational databases and HTTP APIs. Useful adjacent skills include Django REST framework, PostgreSQL, Celery, Redis, Docker, automated testing and cloud deployment.
The required Django experience depends on the system’s complexity, not a fixed number of years. A small application may need solid framework fundamentals, while a platform with sensitive data, legacy code and many integrations calls for proven work with architecture, security, migrations and operations.
Yes. Django projects are well suited to remote collaboration when the team uses clear tickets, repository standards, documentation and regular technical reviews. Frankfurt companies can also combine remote delivery with on-site workshops when product decisions or stakeholder alignment benefit from meeting in person.
Before changing Django code, a specialist should review the application structure, data model, dependency versions, deployment process, test coverage and security controls. They should also clarify ownership of migrations, environments, monitoring and release decisions.
High-quality Django work is easy to test, secure by design and clear about data and permission boundaries. Look for maintainable models, efficient queries, useful automated tests, documented decisions and evidence that the specialist has supported software after launch.
Django can support large applications when the design separates domains, controls database access and treats background work, caching and observability as first-class concerns. Growth may require service boundaries or specialized components later, but the framework can remain a productive core for the product.
The average hourly rate of freelancers in Frankfurt, Germany who have used Django in their recent projects is 87 €, which corresponds to a daily rate of about 697 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Django in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Django in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Frankfurt, Germany who have used Django in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Frankfurt, Germany who have used Django in their recent projects are Information Technology (100%), Banking and Finance (45%), and Education (36%).
The most common business areas among freelancers in Frankfurt, Germany who have used Django in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (64%).
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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