Flask Experts in Frankfurt
, matched in minutes by AIHire experts who deliver Flask APIs, lightweight web applications and service integrations with Python, SQLAlchemy and production-ready deployment practices. Get precise access to vetted, available freelancers who match your technical needs quickly.
Meet FRATCH Experts in Frankfurt, who have recently used Flask
Bardiya B.
Last position:
Data Scientist at Rewe Digital GmbH
Statistical Forecasting Algorithm
- Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
- Migration from R/On-premise to Python/Snowflake
- Productionalization on Snowflake in cooperation with data engineers & DevOps
Monitoring Dashboard
- Data engineering for preparation & provisioning of necessary data/resources on Snowflake
- Development & deployment of a Streamlit dashboard in Snowflake
ML-based Probabilistic Forecasting on Vertex AI
- Development of a ML-based probabilistic forecasting algorithm from scratch
- Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI
Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow
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
Eduard V.
Last position:
Lead of workshop “Introduction to AI Development Tools” at Software company in Wiesbaden
- Presentation introducing generic A.I. and Large Language Models
- Explanation of legal frameworks (EU AI Act, US CLOUD Act, DSGVO)
- Systematic review of AI tools along the SDLC and holistic systems
- Comparison of on-prem LLMs vs. cloud-based solutions, as well as change management and works council considerations
- Moderation of the discussion and definition of next steps for introducing AI development tools
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
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.
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.
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 Flask
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 14 years)
Position duration
1.3 years (Germany: 2 years)
Positions per freelancer
13 (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
63% (Germany: 73%)
Doctorate
25% (Germany: 10%)
Certifications per freelancer
5 (Germany: 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 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 29 Oct 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 (60%)
- Telecommunication (50%)
- Transportation (40%)
- Retail (40%)
- Education (30%)
- Healthcare (30%)
- Insurance (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Python Web Foundation
Flask is a lightweight web framework for Python. It provides routing, request handling, templating and application structure without forcing a large set of components on every project. Teams use it for web applications, internal tools, REST APIs and focused backend services where clear control matters.
APIs and Applications
Flask specialists shape applications around the product rather than around a fixed framework pattern. Common deliverables include:
- REST and JSON APIs for web and mobile clients
- Server-rendered applications with Jinja
- Authentication, permissions and session handling
- Background tasks, webhooks and service integrations
- Internal dashboards and data workflows
Ecosystem and Tooling
Flask commonly works with Werkzeug for the web layer and Jinja for templates. Specialists may add extensions for SQLAlchemy, authentication, validation, migrations, caching or API documentation. They also work with pytest, virtual environments, package management, Docker and cloud deployment workflows.
When Expertise Helps
Companies often bring in freelance Flask expertise when an API needs a reliable structure, a Python service must move toward production, or an existing application has become difficult to extend. Frankfurt teams may also use remote collaboration for backend delivery while keeping workshops, product decisions or regulated work on site. Clear documentation and communication in English or German can support distributed teams.
Production Readiness
Strong professionals understand that a small framework still needs disciplined engineering. They separate configuration by environment, protect secrets, validate input, handle errors consistently and design useful logs. They also consider database transactions, performance, testing, security updates and deployment rollback before an application reaches production.
Choosing a Specialist
Review Flask work that resembles your system, not just a list of Python tools. Ask how the professional would structure routes, application factories, data access, tests and deployment for your use case. A good specialist explains trade-offs against Django or FastAPI, identifies risks early and leaves an application that other teams can maintain.
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, internal tools, webhook services and focused backend components. Its small core suits products that need a tailored structure rather than a broad set of built-in features.
Flask offers a smaller core and gives teams more freedom to choose databases, validation, authentication and other components. Django includes more built-in conventions and features, which can speed up larger, content-heavy applications but may impose more structure.
Flask is a strong choice when a team values a mature, flexible web foundation or needs to extend an existing Python service. FastAPI can be preferable for API-first systems that rely heavily on automatic validation, type hints and asynchronous request handling.
A strong Flask specialist should understand Python packaging, SQL databases, SQLAlchemy, authentication, testing and API design. Experience with Docker, cloud hosting, observability and CI pipelines is also valuable for production delivery.
Flask project needs depend on its risk, integrations and operational demands rather than on the framework alone. A small internal tool may need focused support, while a public API handling sensitive data requires proven skills in security, testing, deployment and maintenance.
Flask work is well suited to remote collaboration because code, tests, API specifications and deployment workflows can be reviewed online. On-site workshops in Frankfurt can still help with discovery, architecture decisions and coordination with business or security teams.
Assess Flask work through its structure, test coverage, error handling, security controls and deployment documentation. Ask for examples of decisions around application factories, configuration, database access and monitoring, then review whether the explanations are clear and practical.
Flask can support large production systems when the application has a clear modular design and the surrounding services are chosen carefully. The framework does not remove the need for sound architecture, observability, performance testing, secure operations and a maintainable delivery process.
The average hourly rate of freelancers in Frankfurt, Germany who have used Flask in their recent projects is 94 €, which corresponds to a daily rate of about 751 € 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, 63% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Flask in their recent projects have 13 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 French (20%).
The most common industries among freelancers in Frankfurt, Germany who have used Flask in their recent projects are Information Technology (100%), Banking and Finance (60%), and Telecommunication (50%).
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 (80%).
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
