
GraphQL Experts in Dortmund
matched in minutes with the power of AIHire experts who design resilient Apollo schemas, consolidate distributed backend services, and implement high-performance federation layers, matched precisely with vetted and available freelance professionals.
Meet FRATCH Experts in Dortmund, who have recently used GraphQL
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Sandra R.
Last position:
FRONTEND DEVELOPER at easy Marketing GmbH
- Development and enhancement of scalable Vue.js/TypeScript applications, as well as reusable components and frontend architectures
- Development of modern, high-performance web applications for internal software solutions using Vue.js, Pinia, and Vuex
- Efficient integration and processing of data from external APIs to support frontend development and ensure smooth end-to-end functionality
- Implementation and maintenance of automated tests for quality assurance using Vitest
- Creation of interactive website prototypes in Figma and Adobe XD as a basis for Vue.js implementations
- Participation in technical reviews and code reviews to ensure high code quality and continuously improve development processes
- Use of AI-supported development tools such as ChatGPT and Claude for more efficient development, error analysis, and code optimization
- Use of CI/CD pipelines for the efficient integration of automated tests, builds, and deployments into the development workflow
Manuel K.
Last position:
.NET Developer, SAP Business One Consultant at Own Projects
- DTO class generator: In-house development of a tool for the automatic generation of classes, functions, and methods for use in .NET Core projects based on SAP Business One Service Layer metadata
- E-invoice import add-on: Development of a SAP Business One add-on / coresuite module for the automated import of ZUGFeRD e-invoices as incoming invoices – with configurable mapping to flexibly control the import logic across four mapping types (DIRECT, SQL, FIXED, EXPR). The add-on is available as a licensed product for SAP Business One customers.
Stack: SAP Business One, SAP Business One Service Layer, coresuite Country Package, C#
Arkadius S.
Last position:
AWS Pricing Platform / API & Integration Architecture at Porsche Digital
Development and evolutionary further development of a highly available, cloud-native microservice and integration architecture for dealer and retail processes in the Porsche Car Configurator.
Responsibilities
- Development of Java-/Kotlin-based backend, API, and integration components (Spring Boot)
- Integration of internal and external systems via REST/OpenAPI, GraphQL, Apache Kafka, and AWS SQS (synchronous and asynchronous)
- Implementation of stable, high-performance communication and data flows in a cloud-native platform architecture
- Processing of structured data formats (JSON, Protobuf, GraphQL schemas) based on existing API patterns
- Performance optimization of distributed microservices with reduced response times and higher operational stability
- Technical tests (unit, integration, and API tests) as well as error analysis in production-like environments
- AWS Infrastructure as Code with Terraform and AWS CDK
- CI/CD automation (build, test, and deployment pipelines) with GitHub Actions
- AI-supported feature implementation (GitHub Copilot Agent)
Label: Kotlin, Java 25, Spring Boot 4, Protobuf, TypeScript, AWS, Terraform, CDK, Apache Kafka, AWS SQS, REST/OpenAPI, GraphQL, JSON, PostgreSQL, Docker, GitHub Actions, Maven, Gradle, JUnit, Mockito, Testcontainers
Hendrik B.
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Discover over 15,000 top freelancers
Statistics of experts using GraphQL
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 16 years)

Position duration
2.5 years (Germany: 2.7 years)

Positions per freelancer
11

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Manufacturing, Education
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
100% (Germany: 44%)

Certifications per freelancer
1 (Germany: 2)

Most common languages
German, English, Spanish

Speak two or more languages
100% (Germany: 99%)
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Dortmund 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 Dortmund 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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
GraphQL 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%)
- Manufacturing (83%)
- Education (67%)
- Healthcare (67%)
- Automotive (50%)
- Government and Administration (50%)
- Insurance (33%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Schema-driven API architecture and query orchestration
GraphQL serves as a flexible query language and runtime for application programming interfaces. It allows clients to request exactly the data structures they require, eliminating over-fetching and multiple sequential network roundtrips across web and mobile user interfaces.
Core ecosystem and modern runtime tooling
- Apollo Server, Apollo Client, and Apollo Federation for unified data graphs
- Relay and urql for declarative frontend state management
- GraphQL Yoga and Mercurius for fast Node.js backend runtimes
- Dataloader for solving the N+1 database querying problem
- Schema stitchers and code generation utilities like GraphQL Code Generator
Typical production use cases
Specialists deploy GraphQL to power single-page applications, cross-platform mobile apps, and microservice integration gateways. The technology serves as an abstraction layer across diverse legacy databases, external vendor APIs, and modern event-driven backends.
Enterprise demand in Dortmund and the Ruhr valley
Organizations in Dortmund across supply chain technology, digital commerce, and manufacturing platforms require cohesive data access. Schema architectures unify distributed legacy software and modern cloud environments, allowing engineering departments to modernise services without breaking client applications.
Key indicators for engaging freelance expertise
- Frontend teams blocked by rigid REST endpoints and slow API change cycles
- Severe latency issues caused by recursive microservice calls
- Need to federate multiple backend domains into a single unified graph
- Missing caching strategies, schema validation, and rate limiting controls
Qualities of strong query runtime professionals
Proficient specialists understand query complexity analysis, depth limiting, and persistent query caching to secure endpoints. They design clear Schema Definition Language contracts, write efficient batching resolvers, and structure long-term versioning workflows without breaking active client releases.
Frequently asked questions
Curious about GraphQL? Here are the answers that come up again and again.
Companies adopt GraphQL as an API gateway layer that allows client applications to query multiple data sources in a single network request. It enables product teams to evolve client interfaces independently from backend microservices while maintaining strict type safety.
While REST requires dedicated endpoints for every resource, GraphQL exposes a single endpoint backed by a strongly typed schema. This design prevents over-fetching and under-fetching of payload data, although it requires deliberate query execution management and batching mechanisms.
A GraphQL service typically aggregates relational databases, document stores, message queues, and existing REST services. Specialists use tools like DataLoader to consolidate these heterogeneous sources without introducing the N+1 problem.
Apollo Federation allows distributed teams to divide a unified GraphQL schema into modular subgraphs owned by distinct domain teams. The gateway combines these subgraphs into a seamless federated graph, ensuring clean ownership across complex engineering organizations.
Securing a GraphQL interface requires query depth limiting, cost analysis, rate limiting, and operation allowlisting. Strong professionals enforce field-level authorization and disable schema introspection on public-facing production instances.
Yes, many GraphQL projects in Dortmund operate successfully with hybrid models where specialists attend schema workshops on-site and execute implementation remotely. Local organizations in the technology hub around Phoenix West frequently welcome flexible delivery setups.
Engineering teams implementing GraphQL in Dortmund commonly operate in English for architectural documentation, codebases, and daily standups. However, German language proficiency remains valuable for cross-functional alignment with local enterprise stakeholders.
Look for deep knowledge of schema governance, schema design patterns, and caching strategies. An experienced GraphQL professional demonstrates concrete experience optimizing resolver performance, handling breaking changes, and configuring observability tooling like OpenTelemetry.
The average hourly rate of freelancers in Dortmund, Germany who have used GraphQL in their recent projects is 83 €, which corresponds to a daily rate of about 664 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used GraphQL in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Dortmund, Germany who have used GraphQL in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Dortmund, Germany who have used GraphQL in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Dortmund, Germany who have used GraphQL in their recent projects are Information Technology (100%), Manufacturing (83%), and Education (67%).
The most common business areas among freelancers in Dortmund, Germany who have used GraphQL in their recent projects are Information Technology (100%), Product Development (100%), and Operations (83%).
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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