Django Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Django
Khaled Teilab
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
Tan Pham
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.
Ulm Paunel
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 Meinon
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 Mache
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 Patel
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.
Leonard Hußke
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, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Delly Fofie
Last position:
Dad of 2 daughters at Family
Philip Iske
Last position:
Frontend/E-Commerce at Burda Solutions
- Further development of the Cyberport/Computerunivserse online shop with React, Next.js and SAP Commerce.
Dhruvil Kachhadiya
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.
Discover over 15,000 top freelancers
Statistics of experts using Django
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.6 years (Germany: 2 years)
Positions per freelancer
13 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
56% (Germany: 58%)
Doctorate
11% (Germany: 7%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 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 Frankfurt 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Django in practice
Django is a Python web framework for building structured back ends, public websites and internal tools. It fits products that need clear data models, fast delivery and solid security. Teams often choose it for content-heavy systems, portals and custom business applications.
What specialists build
- Content management and publishing systems
- REST APIs and service back ends
- Internal dashboards and workflow tools
- Customer portals and self-service apps
- Data-driven web applications
Ecosystem and tooling
Strong Django specialists work with Django REST Framework, PostgreSQL, Celery, Redis and modern front-end layers when needed. They also understand ORM design, template rendering, authentication, permissions and testing. Good work depends on clean project structure and reliable deployment setup.
When freelance help matters
Companies bring in Django experts when a product needs a quick start, a rescue after technical debt, or help with a feature that touches many parts of the stack. They are also useful for migrations, performance issues and API design. In Frankfurt, this often suits teams that need focused support without a long hiring cycle.
What strong experts do well
Strong professionals keep views thin, models sensible and dependencies controlled. They write readable code, protect sensitive data and leave projects easy to maintain. They also know when to use Django out of the box and when a small custom layer is the better choice.
Working with your team
Django fits remote work well because requirements, pull requests and testing are easy to review asynchronously. For Frankfurt-based teams, on-site sessions can help at the start of a new product, during discovery or when many stakeholders need to align. Clear communication in English is usually enough for cross-functional delivery.
Frequently asked questions
Everything clients usually want to know about Django, in one place.
Django is used to build web applications with a strong data model, clear permissions and a reliable back end. It is a good fit for content sites, portals, dashboards, internal tools and API-first products. Many teams choose it when they want to move quickly without giving up structure.
Django is the more complete framework: it comes with an admin area, ORM, authentication and a clear project layout. Flask is lighter and gives more room for custom choices, while FastAPI is often picked for API-heavy services with strong type support. The right choice depends on how much structure your product needs.
A strong Django specialist usually knows Python well, plus PostgreSQL, REST APIs, testing and deployment basics. Many also work with Celery, Redis, Docker and front-end integration. If your project has search, queues or background jobs, those adjacent skills matter a lot.
A Django project can benefit from freelance help at almost any stage, from the first prototype to an existing system with ongoing change. The key is not the age of the codebase but the level of risk, the number of moving parts and how quickly you need progress. Complex permission logic, migrations or performance work usually justify specialist support early.
Yes. Django work is well suited to remote collaboration because code, tests and tickets can be reviewed clearly, and most delivery happens in shared repositories. For Frankfurt teams, a hybrid setup can help at the start of a project or when business stakeholders want workshops in person.
Look for a Django specialist who can explain trade-offs, not just write code. Good signs are clean app structure, sensible use of the ORM, test coverage, secure authentication and practical deployment habits. Ask for examples of APIs, admin workflows or complex business rules they have delivered.
Yes, Django is often a strong choice for internal tools because the admin interface and built-in auth save time. It works well when business users need reliable forms, approvals, reports or content management. If the tool is data-heavy, Django usually gives a solid base with less custom plumbing.
Ask how the Django freelancer would structure the app, handle testing and manage the database layer. Also ask what they would use for background jobs, caching and API design if those are part of the scope. Their answers should be specific to your product, not generic framework talk.
The average hourly rate of freelancers in Frankfurt, Germany who have used Django in their recent projects is 88 €, which corresponds to a daily rate of about 707 € 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, 56% hold at least a Master's degree, and 11% 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 (40%).
The most common industries among freelancers in Frankfurt, Germany who have used Django in their recent projects are Information Technology (100%), Education (40%), and Banking and Finance (40%).
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 (70%).
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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