Flask Experts in Frankfurt
matched in minutes by AIHire experts who create Python web applications, REST APIs and lightweight microservices with Flask, SQLAlchemy and modern deployment tools. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used Flask
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
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
Eduard V.
Last position:
Workshop Leader 'Introduction to AI Development Tools' at Software company in Wiesbaden
- Presentation introducing generic AI and large language models
- Explanation of legal frameworks (EU AI Act, US CLOUD Act, GDPR)
- Systematic review of AI tools along the SDLC and holistic systems
- Comparison of on-prem LLMs vs. cloud-based, as well as change management and works council
- Facilitated the discussion and derived next steps for introducing AI development tools
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.
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
Michael Y.
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Rashid I.
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
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 Flask
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.3 years (Germany: 2 years)
Positions per freelancer
14 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Telecommunication
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
57% (Germany: 72%)
Doctorate
14% (Germany: 10%)
Certifications per freelancer
4 (Germany: 2)
Most common languages
German, English, Gujarati
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 19 Sep 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 Flask
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Flask 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 (56%)
- Telecommunication (56%)
- Transportation (44%)
- Education (33%)
- Healthcare (33%)
- Insurance (33%)
- Retail (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Flask for focused web applications
Flask is a lightweight web framework for Python. It provides routing, request handling, templates and extension points without forcing a large application structure. Companies use it for REST APIs, internal tools, data services, prototypes and production web applications where clear control over the stack matters.
Applications and services
Flask fits projects that need a compact core and carefully selected components. Experts use it to deliver:
- REST and GraphQL APIs for web and mobile products
- Microservices that connect business systems and data sources
- Internal dashboards, administration tools and workflow applications
- Prototypes that can evolve into maintainable products
- Machine learning and data-service endpoints around Python workloads
Python ecosystem and tooling
Flask work often extends beyond the framework itself. Strong specialists select and configure tools such as Jinja, Werkzeug, SQLAlchemy, Marshmallow, Celery and pytest. They also work with PostgreSQL or other databases, Redis, Docker, reverse proxies and cloud deployment pipelines.
When freelance expertise helps
Companies bring in Flask professionals when an API needs a clean design, a Python service must be separated from a larger system, or an existing application has become difficult to test and maintain. Freelancers can also strengthen a team during a migration, a product launch or a security and performance review. Clear interfaces, documentation and automated tests make the handover safer.
Working with Frankfurt teams
Flask specialists in Frankfurt support software products, financial services, logistics, research and other industries that rely on adaptable Python services. Remote collaboration works well when tickets, API contracts and deployment responsibilities are documented. For on-site or hybrid work, teams may value professionals who can communicate clearly in English and, where needed, German.
What distinguishes strong specialists
A capable Flask expert understands HTTP, authentication, data modeling and application security rather than treating the framework as a set of decorators. Look for experience with:
- Versioned APIs, validation, error handling and observability
- Secure sessions, OAuth or token-based access control
- Database migrations, transactions and query performance
- Testable application structure and reliable deployment
- Decisions about when Flask is better than a more opinionated framework
They explain trade-offs, keep dependencies purposeful and design services that other professionals can operate and extend.
Frequently asked questions
Before you brief your next project: the most common questions about Flask.
Flask is used to build Python web applications, REST APIs, microservices, internal tools and data-driven services. Its small core lets teams choose the database, validation, authentication and background-processing components that fit the project.
Flask offers more freedom and a smaller core than Django, which includes more built-in application features and conventions. FastAPI emphasizes typed API development and asynchronous request handling, while Flask remains a strong choice when a team wants a familiar, flexible Python service structure.
A strong Flask specialist should understand Python, HTTP, SQL, API design, authentication and automated testing. Useful adjacent skills include SQLAlchemy, PostgreSQL, Docker, Redis, Celery, cloud deployment and observability.
The right level depends on the system’s risk, integrations and operational needs, not just its size. A simple API may need focused Flask knowledge, while a regulated or distributed service calls for proven skills in security, testing, deployment and long-term maintenance.
Flask projects are often well suited to remote collaboration because API contracts, code reviews and deployment workflows are easy to document. Frankfurt teams should agree on working hours, communication routines and whether English or German is required for meetings and documentation.
Review whether the Flask implementation has clear boundaries, useful tests, secure configuration and understandable documentation. Ask the specialist to explain choices around extensions, database access, error handling, monitoring and future scaling.
Flask can support production systems when it is deployed with suitable application servers, reverse proxies, logging, monitoring and security controls. The framework does not prescribe every operational decision, so the specialist must design those parts deliberately.
A Flask freelancer may design endpoints, connect databases, add authentication, improve test coverage or split functionality into services. They may also document the API, containerize the application and help the internal team maintain it after delivery.
The average hourly rate of freelancers in Frankfurt, Germany who have used Flask in their recent projects is 89 €, which corresponds to a daily rate of about 714 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Flask in their recent projects, 100% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Flask in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Frankfurt, Germany who have used Flask in their recent projects are German (100%), English (100%), and Gujarati (22%).
The most common industries among freelancers in Frankfurt, Germany who have used Flask in their recent projects are Information Technology (100%), Banking and Finance (56%), and Telecommunication (56%).
The most common business areas among freelancers in Frankfurt, Germany who have used Flask in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (78%).
Main locations of FRATCH Experts, who have recently used Flask
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
