GraphQL Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used GraphQL
Hoa Josef Nguyen
Last position:
AI Architect and Enabler at Inhouse / AI Business
Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI
- Continuous evaluation and prioritization of internal automation needs
- ~20 AI agents in active use: research, content pipelines, document processing
- 5 n8n workflows for automated data and process control
- Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
- Ongoing operation and further development
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
Thorsten Boock
Last position:
Senior Backend Engineer at VTG Rail Europe
traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.
As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.
- Design and implementation of event-driven backend services.
- Migration and replacement of legacy processing pipelines.
- Development of replay / rebuild mechanisms for large event datasets.
- High-throughput asynchronous event processing on SNS / SQS.
- Database and query optimisation for PostgreSQL and DynamoDB.
- Design of scalable read / write models and aggregation pipelines.
- Production troubleshooting and operational support.
- Performance tuning and infrastructure scaling.
- Design and stabilisation of integration and system tests.
- Technical concepts, architecture documentation, and cross-team collaboration.
- Support the further development of existing GitLab CI/CD pipelines
Geofence & Wagon Stay Processing
- Algorithm to detect vehicles within geofences (entry, exit, dwell time).
- Event sourcing with guaranteed chronological order within the affected time window.
- Refactored geofence event and wagon-stay processing logic for performance.
- Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
- Repair and replay tooling for corrupted or inconsistent movement data.
Fleet Metadata & Mileage
- Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
- Scalable mileage aggregation and replay mechanisms.
- Read / write models and optimised queries for high-volume mileage calculations.
Sensor & Telematics Integration
- Integrated telemetry and sensor processing pipelines.
- Snapshot and state-calculation logic for sensor systems.
- APIs and persistence models for wagon sensor data; data-quality improvements.
- Further development of a service using gRPC for intra-service communication.
Movement Segment Processing & Routing
- Migrated services to new movement-segment event streams.
- Built replay and rebuild tooling for segment correction.
- Optimised throughput and reliability for high-volume event processing.
Condition Monitoring & Wagon Analytics
- APIs and backend services for wagon condition monitoring.
- Brake-wear prediction processing and wagon analytics functionality.
- PostgreSQL views and optimised query models for operational dashboards.
Operational Reliability - First Responder
- Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
- Tuned database performance and AWS infrastructure under production load.
- Improved observability, monitoring and operational tooling.
- Supported rollout strategies, monitoring and post-deployment stabilisation.
Andreas Dietrich
Last position:
Interim Chief Technology & Product Officer at Babbel GmbH
- Restructuring for product-led growth in the field of digital user-centric tech product development language learning experiences
- Scaling empowered tech product teams
- Anti-fragile software engineering
David Adamo
Last position:
Senior SAP Commerce Cloud Developer at Freelancer
- Integration of SAP Commerce Cloud with SAP Cloud for Customer
- Creation and execution of unit and integration tests
- Error analysis and bug fixing
Daniel Yokoyama
Last position:
Senior Frontend Developer at node.energy
- Significant enhancement of the B2B React SPA software "opti.node" for commercial operations management for renewable energy plant operators
- Introduced features not previously available on the market, resulting in a significant revenue increase
- Comprehensive automated tests within Storybook
- Introduced a UI library to improve developer experience and speed up feature development by about 40%
- Clear presentation of complex commercial and legal issues, with intuitive UX and UI
- UX consulting to shorten essential interaction flows by 75%
Dhruti Chandarana
Last position:
Freelancer Developer
Expomate platform
- Built a cross-platform exhibitor inquiry management app using React Native and RoR 8, leveraging RESTful APIs, Solid Queue for background job processing, and Devise for authentication on the backend, with Redux and AsyncStorage for state management and local data persistence.
TaskINT platform
- Developed a unified platform for task execution, time tracking, invoicing, client relations, and staff management using RoR 8 and React.js, utilising RESTful APIs, Sidekiq for background jobs, and Zustand for state management and WebSockets for real-time data sync, with 300+ users onboarded across 5 clients.
Andreas Schmückert
Last position:
Solution Architect, Business Analyst, Consultant, Full-Stack Lead-Developer at 50Hertz Transmission GmbH
- Solution for micro-service and frontend solution for the electric grid
- Leading of development teams
- Technologies: React-Native, TypeScript, Kotlin, AWS, Infrastructure As Code, Serverless Architecture, React, NoSQL, GraphQL, Angular, Playwright, Python, ML(Ops), Kubernetes, Docker
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.
Oliver Langer
Last position:
Developer, Architect at libri GmbH
- Role: Developer, Architect
- Technologies: java, typescript, golang, spring (boot, web, security, data), Angular, AWS (OpenSearch, Aurora, SNS/SQS, CloudWatch, EC2, IAM), Kubernetes, Terraform, Helm, OAuth, Keycloak, CI/CD, gradlew, Liquibase, Test Driven Development, shell scripting
Kshiti Patel
Last position:
Senior Front End Engineer at People of Peony
- Built scalable and reliable web using React, TypeScript, JavaScript and open-source tooling, taking full ownership from development to deployment with minimal oversight
- Translated client requirements and visual designs into functional, user-friendly interfaces by applying UI/UX design principles, ensuring the delivered product aligned with the client's product vision
- Proactively identified and resolved complex technical issues spanning frontend and DevOps (AWS), going beyond the defined scope to ensure continuous and stable delivery, with test coverage maintained via Jest
Andreas Steffan
Last position:
Lead Developer at Software
- Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
- Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
- Implemented based on RESTful / OpenAPI services
- Delivered as a fat-jar and native container image
- Deployed on-premises and serverlessly as an Azure Container Application using Terraform
- Improved team autonomy through infrastructure engineering and short feedback loops
- Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
- Introduced Terraform and trunk-based development processes
- Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
- Created Azure DevOps pipeline integration tests
- Introduced cloud deployment processes
- Trained staff in cloud and Terraform
Tarik Hennings
Last position:
Technical Product / Digital Asset Owner at Sodexo Pass & Benefit Services
- Migration of 3 DE/AT payment iOS/Android apps and web portal to global solution
- Performed a fit gap analysis for 6 consumer apps vs. global solution
- Managed the migration project to global CWC solution, developed end-to-end tests for backend systems, Pi Planning, release planning
Sven Busse
Last position:
Frontend Developer at TQGG
- Reimplementation of the ESN.com online shop with Shopify's Hydrogen and Remix
- Headless CMS Contentful integration via GraphQL
Sascha Braun
Last position:
Fullstack Developer at INLOGY GmbH
- Developed and maintained a distributed monitoring system for drilling rigs
- Developed an administration application for the Swiss social system
- Estimated efforts for customer requirements
- Technologies: C#, ASP.NET, Entity Framework Core, MS SQL, npm, Angular, TypeScript, HTML, SCSS, Storybook, NodeJS
- Tools: Scrum, Figma, Jira, Confluence, Azure DevOps, CI/CD
Discover over 15,000 top freelancers
Statistics of experts using GraphQL
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 16 years)
Position duration
1.6 years (Germany: 2.7 years)
Positions per freelancer
15 (Germany: 11)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Retail, Media and Entertainment
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
80% (Germany: 88%)
Master's degree or higher
40% (Germany: 44%)
Certifications per freelancer
1 (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 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 GraphQL
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
API layer
GraphQL is an API query language and runtime for delivering exactly the data a client asks for. It is used to combine data from services, databases, and external APIs behind one schema. Companies choose it when they need flexible client-driven data access without many fixed endpoints.
Common work
- Schema design for queries, mutations, and subscriptions
- Resolver logic and data fetching patterns
- Apollo Client, Apollo Server, and Relay integration
- Schema stitching, federation, and API composition
- Validation, pagination, caching, and error handling
When teams need help
Strong GraphQL specialists are useful when an API has grown messy, when mobile and web clients need different data shapes, or when a backend split is already underway. They also help when teams in Hamburg need to align product, frontend, and service owners around one contract. The work is often about simplifying access without breaking existing systems.
What good specialists do
A solid GraphQL professional thinks in schemas first, then in client needs, security, and performance. They know when to keep queries simple, when to split types, and how to avoid overfetching, N+1 problems, and brittle resolver chains. They also document the API so other experts can use it without guesswork.
Ecosystem skills
GraphQL rarely stands alone. It often sits next to TypeScript, Node.js, JavaScript, Java, Kotlin, .NET, PostgreSQL, REST, and event-driven services.
- API design and versioning strategy
- Testing with mocked or live schema checks
- Authorization at field and object level
- Performance tuning and query cost control
Hiring signals
Bring in freelance help when new clients need a cleaner data contract, an older REST layer needs a GraphQL facade, or a federation setup must be kept stable. For Hamburg companies, remote collaboration works well for schema work and reviews, while on-site time can help with discovery sessions and cross-team planning. Good specialists leave behind a schema that is clear, secure, and ready for change.
Frequently asked questions
Need clarity? These are the questions we hear most often about GraphQL.
GraphQL is used to build API layers that let clients ask for the data they need in one request. It is common in web apps, mobile apps, dashboards, and systems that pull from several services. Teams use it to reduce endpoint sprawl and to keep the data contract easier to evolve.
GraphQL gives clients a typed schema and a flexible query model, while REST usually exposes fixed endpoints and response shapes. GraphQL is often better when different clients need different data, but REST can still be simpler for basic CRUD or public APIs. Many teams use both, with GraphQL in front of existing REST services.
A strong GraphQL specialist should understand schema design, resolvers, authentication, and query performance. Useful adjacent skills include TypeScript, Node.js, Apollo, Relay, and database basics. They should also know how to handle caching, pagination, and error patterns cleanly.
Not every GraphQL project needs a highly senior specialist, but complex schemas and multi-service setups usually do. If you are introducing federation, replacing a large REST layer, or supporting several client apps, deeper experience matters. For a small prototype or a narrow API, a solid mid-level expert may be enough.
Yes. GraphQL often sits on top of REST, SOAP, databases, or internal services and acts as a unified access layer. A good specialist knows how to map existing endpoints into a schema without creating slow or hard-to-maintain resolver chains.
Often yes, especially for schema design, code review, and integration work. For Hamburg teams, remote work is usually fine if product owners and service owners can join planning sessions. On-site time helps when the API contract depends on many internal stakeholders or legacy systems.
Look for clear schema thinking, careful naming, and practical decisions about security and performance. A strong GraphQL expert explains why a field belongs in the schema, how queries are limited, and how client needs shape the design. Good work is easy for other specialists to maintain and hard to break.
A good GraphQL freelancer will ask about the existing data sources, client types, auth model, and expected traffic patterns. They should also ask whether the team uses Apollo, Relay, federation, or another setup. Clear answers help them design the schema and delivery plan without rework.
The average hourly rate of freelancers in Hamburg, Germany who have used GraphQL in their recent projects is 94 €, which corresponds to a daily rate of about 750 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used GraphQL in their recent projects, 80% hold at least a Bachelor's degree and 40% hold at least a Master's degree.
On average, freelancers in Hamburg, Germany who have used GraphQL in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Hamburg, Germany who have used GraphQL in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Hamburg, Germany who have used GraphQL in their recent projects are Information Technology (100%), Retail (65%), and Media and Entertainment (55%).
The most common business areas among freelancers in Hamburg, Germany who have used GraphQL in their recent projects are Information Technology (100%), Product Development (100%), and Operations (55%).
Main locations of FRATCH Experts, who have recently used GraphQL
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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Munich 
Cologne 
Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
