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GraphQL Experts in Berlin

matched in minutes from over 15,000 CVs

Hire experts who design typed schemas, connect federated services and deliver responsive web or mobile data layers with GraphQL, Apollo and automated testing. FRATCH matches you quickly and precisely with vetted, available freelancers.

Meet FRATCH Experts in Berlin, who have recently used GraphQL

Verified expert

Alois R.

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Senior Backend & Fullstack Developer

Berlin
Alois R.

Last position:

Senior Fullstack Developer at brandung GmbH

  • Opt-in RAG extension over tenant-owned data sources (SharePoint, Confluence) on existing multi-tenant enterprise AI platform
  • Architecture: ADRs, solution evaluations, permission strategy, cost modeling
  • End-to-end SharePoint and Confluence connectors: OAuth consent flows, token refresh, metadata sync, search integration
  • Permission resolution: ACL indexing at ingestion and query-time verification (document-level security)
  • Elasticsearch hybrid search (semantic + keyword) with RRF scoring
  • RAG chat with context injection and source citations
  • Stack: Elastic Cloud, Elasticsearch, Docker, Northflank, Next.js, React, TypeScript, Prisma, Microsoft Graph API, Atlassian REST API, OAuth 2.0
Verified expert

Chintan P.

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Product Owner and Technical Product Lead

Berlin
Chintan P.

Last position:

Product Owner and Technical Product Lead at Sustamize GmbH

  • LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

  • Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records

  • Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems

  • ML algorithms for predicting emissions hotspots and optimizing product design

  • Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

  • Led a 15-person cross-functional team in developing 10+ AI features

  • Strategic product planning and AI roadmap with 35% shorter time-to-market

  • Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

  • On-time project delivery with 95% budget adherence through data-driven backlog management

  • Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)

  • Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

Verified expert

Ines S.

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UX/UI Designer

Berlin
Ines S.

Last position:

Freelance UX Designer at Ines Siebrecht UX | UI Design

Verified expert

Hubertus S.

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Senior Technical Product Manager / Chief Product Officer

Berlin
Hubertus S.

Last position:

Senior Product Manager AI

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

  • Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
  • Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
  • Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
  • Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
  • Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.
Verified expert

Imran A.

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Software Engineer II

Berlin
Imran A.

Last position:

Software Engineer II at LivePerson Germany GmbH

  • Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
  • Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
  • Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
  • Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
  • Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
  • Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.
Verified expert

Alexandr K.

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Principal Engineering Consultant

Berlin
Alexandr K.

Last position:

Technical Co-Founder at Dealyv

  • Joined the initial development team and helped transform an n8n prototype into a production-ready 0-to-1 product in a fast-paced environment.
  • Owned delivery across CRM and Twilio integrations, customer communication workflows, and administrative interfaces.
  • Collaborated on AI evaluation, microservice architecture, and other cross-functional product and engineering topics.
  • Supported the CEO across VC communications, customer acquisition, product positioning, onboarding, documentation, pricing, and sales.
Verified expert

Nada S.

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Senior Frontend Engineer (React & TypeScript)

Berlin
Nada S.

Last position:

Freelance Senior Frontend Engineer at Self-Employed

  • Senior software engineer focused on React, TypeScript and AI-assisted product workflows
  • Build frontend systems for complex SaaS products, internal tools and operational workflows
  • Recent work includes AI evaluation tooling, support reliability analysis and developer-focused QA systems
  • Available for freelance and contract engagements, especially remote-first projects
Verified expert

Aruldass A.

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Full-stack AI Engineer

Berlin
Aruldass A.

Last position:

Web Module Lead at Mphasis Limited

  • Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.
Verified expert

Fernando C.

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Senior Front-End Developer

Berlin
Fernando C.

Last position:

Senior Front-End Developer at Moss

  • Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
  • Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
  • Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
  • Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
  • Works with complex cross-entity relationships without a single-schema solution.
  • Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.
Verified expert

Santhosh K.

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Freelance Software Engineer

Berlin
Santhosh K.

Last position:

Freelance Software Engineer at Zalando SE

  • Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
  • Optimise k8s resources and integrate native Prometheus metrics with OPA
  • Migrate from internal monitoring solution to Prometheus CRs + Dash0

Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana

Verified expert

Matthias Z.

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Senior iOS & Flutter Developer

Berlin
Matthias Z.

Last position:

Senior Flutter Developer at Materna

  • Developed a Flutter app for eID ID card logins
  • Focus: Flutter, iOS, eID, AusweisAppSDK, Mason, Keycloak, Agentic Coding, Arc42, Jenkins
Verified expert

Maciej R.

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Full Stack Developer

Berlin
Maciej R.

Last position:

Full Stack Developer (Freelancer) at Runbuggy

  • Led development of RunBot AI assistant autonomously using LLM-powered workflow automation (React, TypeScript, Java, MongoDB, NATS)
  • Architected TMS platform providing unified transportation management and real-time logistics visibility with AI processing pipelines
  • Designed event-driven microservices architecture supporting marketplace
  • Drove architectural decisions and technical leadership across full-stack platform development
Verified expert

Mathias V.

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Senior Android Developer / Freelancer

Berlin
Mathias V.

Last position:

Fullstack AI Engineer at Ammodia.com

Developed a custom Kotlin Multiplatform app with a Spring backend and AI features.

Verified expert

Ricardo C.

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Senior Frontend Engineer | UI/UX Designer

Berlin
Ricardo C.

Last position:

Senior Frontend Engineer at Deutsche Rente Versicherung

  • Developed healthcare and webinar platforms using React, Ionic and GraphQL.
  • Built scalable frontend applications in close collaboration with designers and backend teams.

Discover over 15,000 top freelancers

Statistics of experts using GraphQL

Aggregated from the professional profiles of matched freelancers.

Experience

14 years (Germany: 16 years)

GraphQL experts in Berlin have 14 years of professional experience on average. It is 2 years less than in Germany, where the average stands at 16 years.

Position duration

2 years (Germany: 2.7 years)

GraphQL experts in Berlin stay in a single position for 2 years on average. It is 0.7 years less than in Germany, where the average stands at 2.7 years.

Positions per freelancer

9 (Germany: 11)

GraphQL experts in Berlin have completed 9 positions on average over the course of their careers. It is 2 fewer than in Germany, where the average stands at 11.

Top business areas

Information Technology, Product Development, Project Management

GraphQL experts in Berlin have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Retail, Automotive

GraphQL experts in Berlin are most in demand in Information Technology, Retail, and Automotive.

Certification focus areas

Information Technology, Product Development, Project Management

GraphQL experts in Berlin earn their certifications most often in Information Technology, Product Development, and Project Management.

Bachelor's degree or higher

93% (Germany: 90%)

93% of GraphQL experts in Berlin hold at least a Bachelor's degree. It is 3% higher than in Germany, where the rate stands at 90%.

Master's degree or higher

39% (Germany: 44%)

39% of GraphQL experts in Berlin hold at least a Master's degree. It is 5% lower than in Germany, where the rate stands at 44%.

Doctorate

2% (Germany: 4%)

2% of GraphQL experts in Berlin have a doctorate (PhD). It is 2% lower than in Germany, where the rate stands at 4%.

Certifications per freelancer

2

GraphQL experts in Berlin hold 2 professional certifications on average.

Most common languages

English, German, Spanish

GraphQL experts in Berlin most often speak English, German, and Spanish.

Speak two or more languages

98% (Germany: 99%)

98% of GraphQL experts in Berlin speak two or more languages. It is 1% lower than in Germany, where the rate stands at 99%.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
9% of GraphQL experts in Berlin charge less than €400 per day.
52% of GraphQL experts in Berlin charge between €400 and €800 per day.
34% of GraphQL experts in Berlin charge between €800 and €1200 per day.
2% of GraphQL experts in Berlin charge between €1200 and €1600 per day.
2% of GraphQL experts in Berlin charge €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of experts in this technology in Berlin 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 Berlin using GraphQL

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 698 €
Germany avg. 727 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 700 €
Germany median 720 €

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.

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%)
  • Retail (51%)
  • Automotive (37%)
  • Banking and Finance (37%)
  • Media and Entertainment (37%)
  • Education (33%)
  • Healthcare (31%)
  • Manufacturing (31%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What GraphQL does

GraphQL is a query language and runtime for APIs. It lets a client request the fields it needs through a typed schema instead of receiving a fixed response shape. Companies use it to unify data from services, databases and external systems behind one clear API contract.

Where it fits

GraphQL supports product interfaces that combine many data sources in one view. It is common in web and mobile applications, commerce experiences, media products, internal tools and data-rich dashboards.

  • Aggregate data from microservices
  • Serve tailored web and mobile queries
  • Expose typed APIs for frontend teams
  • Reduce over-fetching and repeated requests

Ecosystem and tooling

Strong specialists work with schema design, resolvers, directives, subscriptions and pagination. They may use Apollo Server, Apollo Client, GraphQL Yoga, Relay, Hasura or code-first libraries alongside TypeScript, Node.js, Java, Kotlin, Python or Go. Testing, schema checks and observability are part of reliable delivery.

When to bring in experts

Companies often need freelance expertise when a REST estate is becoming difficult to consume, several backend teams must share data, or a new product needs a stable API contract. In Berlin, GraphQL work can support digital products across commerce, mobility, media and finance while teams collaborate remotely or on site.

  • Shape a schema around real product needs
  • Connect services without hiding ownership boundaries
  • Improve caching, authorization and query limits
  • Plan migrations from REST or custom endpoints

What good delivery requires

A capable professional treats the schema as a product interface, not just a technical wrapper. They understand resolver performance, the N+1 problem, batching, persisted queries, error handling and security. They also document decisions and align the API with frontend and backend workflows.

How to assess specialists

Review examples of schemas, integrations and production troubleshooting rather than looking only at framework familiarity. Ask how the specialist handles breaking changes, deprecations, nested queries, access control and monitoring. Clear communication matters when remote teams in Berlin and elsewhere need to agree on ownership, release processes and language expectations.

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Frequently asked questions

Quick answers to the questions that come up most around GraphQL.

GraphQL is used to build APIs that let clients request precise data through a typed schema. It is useful for web and mobile products, dashboards and applications that combine information from several services.

GraphQL gives clients one schema-driven interface for selecting fields, while REST commonly exposes multiple resource endpoints with predefined responses. The better choice depends on caching, team ownership, operational maturity and how varied the client data needs are.

A strong GraphQL specialist should understand API design, authentication, databases, distributed systems and frontend data fetching. Experience with Apollo, Relay, TypeScript, schema testing and observability is also valuable.

The right level depends on the scope, not on a fixed number of years. A simple schema may need focused API experience, while federation, legacy integrations, high query complexity or strict security requirements call for a professional who has handled those concerns in production.

GraphQL can sit above existing REST endpoints and present them through a unified schema. A specialist should manage differences in errors, pagination, authentication and response shape rather than conceal service limitations.

GraphQL projects are often suitable for remote collaboration because schemas, reviews and tests can be managed in shared repositories. On-site workshops may still help with domain modeling, ownership decisions and alignment between product, frontend and backend teams in Berlin.

Look for a clear schema, predictable errors, sensible pagination and protection against expensive or unauthorized queries. A quality GraphQL implementation also includes tests, documentation, monitoring and a plan for deprecating fields safely.

A GraphQL freelancer should ask who owns the schema, which clients consume it, how services are connected and how releases are coordinated. They should also clarify whether the project uses Apollo, another GraphQL server, federation, subscriptions or a REST migration.

The average hourly rate of freelancers in Berlin, Germany who have used GraphQL in their recent projects is 87 €, which corresponds to a daily rate of about 698 € based on an 8-hour working day.

Of the freelancers in Berlin, Germany who have used GraphQL in their recent projects, 93% hold at least a Bachelor's degree, 39% hold at least a Master's degree, and 2% hold a doctorate.

On average, freelancers in Berlin, Germany who have used GraphQL in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2 years.

The most common languages among freelancers in Berlin, Germany who have used GraphQL in their recent projects are English (100%), German (96%), and Spanish (14%).

The most common industries among freelancers in Berlin, Germany who have used GraphQL in their recent projects are Information Technology (100%), Retail (51%), and Automotive (37%).

The most common business areas among freelancers in Berlin, Germany who have used GraphQL in their recent projects are Information Technology (100%), Product Development (96%), and Project Management (41%).

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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