FastAPI Experts in Hamburg
in minutes from over 15,000 CVs with the power of AI.Hire experts who build APIs, async services, and microservice backends with FastAPI, Pydantic, and OpenAPI. Get fast, precise matching with vetted, available freelancers who can join remote or on-site work in Hamburg.
Meet FRATCH Experts in Hamburg, who have recently used FastAPI
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Rutger Boels
Last position:
Partner & Managing Director at AI.IMPACT
- Building an AI & Data Consultancy Practice with the goal of helping European companies adopt Artificial Intelligence and modern data platforms
- End-to-end further development of a production system using modified coding agents (OpenCode). Tech stack: Kubernetes, Argo, Keycloak, Typescript, Grafana, GitOps, DevOps, Playwright
- Internal research project on the use of coding agents in the field of mathematical logic for creating formal models. Use of Cursor IDE and Codex, Codex CLI. Architecture design, quality control and refactoring, as well as writing code and tests. Repository (open source) available pre-launch
- Research on the role of mathematical logic as a formal language that connects IT and AI with business processes
- Project lead for collecting and deploying parking recommendations for rail vehicles with significant savings potential based on real-time data in a mobility and transport company
- Project lead for collecting and distributing process measurement points for real-time control in a mobility and transport company
- Deputy application owner for an app used for communication in the dispatching and provision of rail vehicles
Marc Matt
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Florian Wede
Last position:
Software Engineer at micimo GmbH
- Developing a professional scheduler for organizations with specific detailed requirements
- Evaluating different existing software solutions
- Creating a list of technical requirements
- Implementing these requirements
- Selected technologies: WebDAV, CalDAV, Rust, Baikal, OAuth, Keycloak
Alex Claes
Last position:
Senior Full-Stack Developer at Umbrella Organization of German Sports Clubs
- Development of a CMS-based online platform as a central hub for multimedia brand communication, focusing on accessibility, web performance, and data protection.
- Technologies: PHP, Craft CMS, Twig, HTML, CSS, JavaScript, Alpine.js, htmx.
Anurag Singh
Last position:
Data Analyst (SME) at Cognizant
- Build data pipelines for raw and curated data layers using AWS S3, Glue, Athena, and Lake Formation
- Establish CI/CD using GitHub Actions or GitLab CI with CodePipeline
- Prototype models into demo APIs packaged with Docker, versioned with Git, added basic tests with pytest, and assist deployments on AWS SageMaker Endpoint
- Perform exploratory data analysis and feature engineering with pandas and PySpark; track experiments in MLflow or Weights and Biases
- Design and execute A/B tests to optimize user engagement and drive data-informed decisions
Daniel Pape
Last position:
Professional Development
Attained AWS Certified Cloud Practitioner certification.
Mastered Rust through self-study, including books, online courses, and open-source contributions.
Developed a serverless web application using AWS (RDS, Lambda, Polly, Amplify) and TypeScript/React/D3, managed infrastructure with CDK.
Continuously stayed updated with industry trends through self-education, webinars, and workshops, exploring Data Mesh and FastAPI.
Mirco Marahrens
Last position:
Senior Software Engineer at Vattenfall
- Lead of the platform engineering team for the development of a platform for energy trading, focusing on high availability, low latency, and scalability of libraries and services
- Supporting quants and market access solutions for energy trading, including market access integration and deployment of algorithmic trading strategies
Discover over 15,000 top freelancers
Statistics of experts using FastAPI
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 12 years)
Position duration
2.1 years (Germany: 1.8 years)
Positions per freelancer
11 (Germany: 8)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Advertising, Education
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
56% (Germany: 72%)
Doctorate
22% (Germany: 8%)
Certifications per freelancer
5 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Hamburg 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 Hamburg using FastAPI
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
FastAPI for modern APIs
FastAPI is a Python framework for building APIs that are fast to develop and easy to document. Companies use it for backend services, internal tools, data services, and public interfaces that need clear request validation and predictable responses.
What strong specialists deliver
A good FastAPI specialist turns business logic into clean endpoints and keeps the service maintainable.
- REST APIs and async endpoints
- Pydantic-based data models and validation
- OpenAPI docs and request schemas
- Authentication, background tasks, and integrations
Ecosystem around it
FastAPI usually sits in a Python stack with tools such as Pydantic, Uvicorn, Starlette, SQLAlchemy, Alembic, and pytest. Strong professionals know how these parts fit together, from database access to testing and deployment.
When companies bring in freelancers
Teams often look for freelance support when they need a new API built quickly, an existing service stabilized, or a Python backend modernized. In Hamburg, this is common for logistics, commerce, media, and software teams that need solid interfaces between systems.
What good work looks like
Strong FastAPI professionals write clear schemas, keep routes small, and handle errors in a consistent way. They understand async code, dependency injection, and how to design services that are easy to test, review, and extend.
Project fit and delivery
FastAPI is a good fit when a company needs speed without giving up structure. It works well for greenfield services, ML and data APIs, admin backends, and integrations that must be easy for other teams to consume.
Frequently asked questions
Key details about FastAPI, drawn from the questions we get asked most.
FastAPI is used to build Python APIs, backend services, and small to mid-size microservices with clear validation and automatic documentation. Teams also use it for data-heavy endpoints, internal tools, and services that need to respond quickly under load. It is a strong fit when API design and developer clarity matter.
FastAPI is the official name. People sometimes search for it as Fast API, but it refers to the same Python framework. When hiring, focus on whether the specialist has shipped production APIs, not on the search term they used.
FastAPI is more focused on APIs than Django and gives you strong type-driven validation and automatic docs out of the box. Compared with Flask, it is more opinionated for modern API work and often easier to keep consistent across teams. Django is broader for full web apps, while FastAPI is often chosen for service-oriented backends.
A strong FastAPI specialist usually also knows Python packaging, async programming, Pydantic, testing with pytest, and database work with SQLAlchemy or similar tools. For production systems, Docker, CI/CD, and cloud deployment knowledge are valuable too. If the service is public, OpenAPI and authentication skills matter as well.
A FastAPI project can start with a focused specialist, but the right level depends on scope. Simple CRUD APIs need less depth than services with async workers, complex validation, or many integrations. For regulated or business-critical systems, look for someone who has already handled production support and versioned APIs.
Most FastAPI work can be done remotely because the main tasks are design, implementation, testing, and review. On-site time in Hamburg can help when the project depends on close coordination with product, data, or infrastructure teams. Many companies use a hybrid setup so workshops happen in person and delivery stays remote.
A strong FastAPI expert writes clean endpoints, uses validation well, and keeps business logic separate from transport code. Look for signs of production thinking: consistent error handling, tests, OpenAPI quality, and sensible async use. Good specialists can explain trade-offs clearly and show work that is easy to maintain.
Ask which services the FastAPI specialist has built, how they handled auth, background jobs, and database access, and how they tested the API. If your stack includes Docker, PostgreSQL, Redis, or cloud deployment, check that they have worked with those parts too. The best fit is someone who can deliver a stable service, not just a demo.
The average hourly rate of freelancers in Hamburg, Germany who have used FastAPI in their recent projects is 96 €, which corresponds to a daily rate of about 769 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used FastAPI in their recent projects, 100% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used FastAPI in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Hamburg, Germany who have used FastAPI in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Hamburg, Germany who have used FastAPI in their recent projects are Information Technology (100%), Advertising (44%), and Education (44%).
The most common business areas among freelancers in Hamburg, Germany who have used FastAPI in their recent projects are Information Technology (100%), Business Intelligence (78%), and Product Development (78%).
Main locations of FRATCH Experts, who have recently used FastAPI
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 
Munich 
Cologne 
Frankfurt 
Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
