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Django Experts in Frankfurt

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Work with specialists who build scalable backends, design clean RESTful services, and integrate PostgreSQL databases. FRATCH delivers fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Frankfurt, who have recently used Django

Verified expert

Khaled T.

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Consultant / DevOps Engineer

Frankfurt am Main
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
Verified expert

Ulm P.

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Freelance IT Specialist

Steinbach (Taunus)
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.
Verified expert

Kevin M.

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Senior Python Backend Engineer

Obertshausen
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
Verified expert

Marie-Josée M.

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Java Engineer / Developer

Eschborn
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.
Verified expert

Krunal P.

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Technical Project Manager

Liederbach am Taunus
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.
Verified expert

Tan P.

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DevOps & Fullstack Engineer

Hanau
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.
Verified expert

Leonard H.

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Freelance Software Engineer & Cloud Architect

Frankfurt
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, 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
Verified expert

Delly F.

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Dad of 2 daughters

Dreieich
Delly F.

Last position:

Dad of 2 daughters at Family

Verified expert

Philip I.

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Frontend/E-Commerce

Frankfurt
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.
Verified expert

Dhruvil K.

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Junior Software Developer

Frankfurt am Main
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.

Discover over 15,000 top freelancers

Statistics of experts using Django

Aggregated from the professional profiles of matched freelancers.

Experience

13 years (Germany: 14 years)

Django experts in Frankfurt have 13 years of professional experience on average. It is 1 year less than in Germany, where the average stands at 14 years.

Position duration

1.6 years (Germany: 2 years)

Django experts in Frankfurt stay in a single position for 1.6 years on average. It is 0.4 years less than in Germany, where the average stands at 2 years.

Positions per freelancer

12 (Germany: 10)

Django experts in Frankfurt have completed 12 positions on average over the course of their careers. It is 2 more than in Germany, where the average stands at 10.

Top business areas

Information Technology, Product Development, Business Intelligence

Django experts in Frankfurt have gathered most of their hands-on project experience in Information Technology, Product Development, and Business Intelligence.

Top industries

Information Technology, Banking and Finance, Education

Django experts in Frankfurt are most in demand in Information Technology, Banking and Finance, and Education.

Certification focus areas

Information Technology, Project Management, Business Intelligence

Django experts in Frankfurt earn their certifications most often in Information Technology, Project Management, and Business Intelligence.

Bachelor's degree or higher

100% (Germany: 96%)

100% of Django experts in Frankfurt hold at least a Bachelor's degree. It is 4% higher than in Germany, where the rate stands at 96%.

Master's degree or higher

50% (Germany: 58%)

50% of Django experts in Frankfurt hold at least a Master's degree. It is 8% lower than in Germany, where the rate stands at 58%.

Doctorate

10% (Germany: 8%)

10% of Django experts in Frankfurt have a doctorate (PhD). It is 2% higher than in Germany, where the rate stands at 8%.

Certifications per freelancer

2

Django experts in Frankfurt hold 2 professional certifications on average.

Most common languages

German, English, French

Django experts in Frankfurt most often speak German, English, and French.

Speak two or more languages

100% (Germany: 98%)

100% of Django experts in Frankfurt speak two or more languages. It is 2% higher than in Germany, where the rate stands at 98%.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 3 6 9 12
One of the Django experts in Frankfurt charges less than €320 per day.
One of the Django experts in Frankfurt charges between €480 and €640 per day.
9 of the Django experts in Frankfurt charge €640 or more per day.
<€320 €480-​640 €640+

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.

800
600
400
200
Rate comparison chart
Daily rate avg. 697 €
Germany avg. 702 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 680 €
Germany median 720 €

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 19 Sep 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

The Python Framework for High-Load Applications

Django powers robust web platforms across the Rhine-Main business hub. Teams choose this high-level Python web framework for its security, built-in ORM, and rapid delivery capabilities. It excels at handling complex data pipelines, regulatory compliance, and transaction-heavy backends.

Core Strengths of the Ecosystem

  • Full-featured Django ORM for migrations and relational modeling
  • Django REST Framework for performant internal and public APIs
  • Native administrative dashboard for rapid operational oversight
  • Asynchronous capabilities with Celery and Redis task workers

Core Use Cases Across Industries

Frankfurt enterprises rely on the technology for data-intensive portals, financial settlement engines, and B2B SaaS solutions. Its security protections shield organizations against cross-site request forgery, clickjacking, and SQL injection without requiring extra middleware layers.

When to Engage External Support

  • Migrating legacy monolithic applications to clean service architectures
  • Optimizing heavy PostgreSQL queries and slow database bottlenecks
  • Upgrading legacy versions to maintain security patches
  • Integrating third-party enterprise tools and payment gateways

Distinguishing Elite Practitioners

Top specialists write idiomatic Python, avoid the N-plus-one query trap, and structure clean modular apps. They design test-driven workflows with pytest, manage state efficiently in Celery, and configure production environments using Docker, Gunicorn, and reverse proxies like Nginx.

Local Collaboration and Delivery

Most initiatives run via hybrid arrangements, combining autonomous remote execution with periodic on-site alignment in Frankfurt. Specialists navigate bilingual environments comfortably, coordinating fluently in English and German across product and infrastructure units.

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Frequently asked questions

Everything clients usually want to know about Django, in one place.

Organizations use Django to build scalable web applications, API backends, and data-centric software platforms. Its battery-included structure provides authentication, administrative dashboards, and database abstraction out of the box. Teams frequently combine it with frontend frameworks like React or Vue for modern enterprise interfaces.

While Flask and FastAPI are microframeworks focused on minimal footprints, Django offers an integrated ecosystem with ready-to-use migrations and an administrative interface. It is typically favored when building complex systems requiring standardized patterns across larger engineering teams. FastAPI remains common when lightweight, purely asynchronous microservices are the sole deliverable.

A qualified Django professional must have deep knowledge of Python, relational databases like PostgreSQL, and asynchronous execution with Celery and Redis. Experience with Docker, continuous integration pipelines, and API design via Django REST Framework is also essential for seamless production deployments.

Examine database interaction patterns in the views to ensure the Django ORM uses select_related and prefetch_related properly. Strong specialists enforce automated testing via pytest, separate business logic from views into selector and service layers, and handle migrations carefully.

Modern Django includes native asynchronous views, middleware, and ORM interfaces to manage concurrent tasks efficiently. When paired with Django Channels and WebSockets, it supports real-time notifications and live updates alongside traditional HTTP request cycles.

Most Django projects operate remotely, though organizations in Frankfurt often value hybrid arrangements for sprint planning or technical architecture sessions. Freelancers based in the region integrate easily with local teams while meeting data privacy and time zone requirements.

The security defaults built into Django protect against common web vulnerabilities, making it an attractive choice for compliance-heavy environments in financial hubs like Frankfurt. Its predictable structure and extensive documentation make long-term maintenance straightforward for internal teams.

Engineering teams in Frankfurt commonly operate in English for all documentation, codebases, and daily standups. However, having a Django expert fluent in German helps significantly when collaborating directly with local stakeholders, compliance officers, and operations units.

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 13 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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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