Firebase Experts in Berlin
in minutes with vetted freelancers matched by AIHire experts who build Firebase Auth flows, Firestore data models, Cloud Functions, and push messaging for web and mobile products. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Firebase
Jorge Nuricumbo
Last position:
Senior Developer at SafeXSmart KI Solutions UG
AI Platform Backend – Senior Developer
Brought in to design and build a backend for an AI platform from scratch, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.
Tasks and responsibilities
- Architected and implemented a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a single interface.
- Designed and developed a backend from scratch in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure setup on Azure.
- Built a real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for live operation of AI influencer personas at scale.
- Developed a media management service with integration of cloud object storage for upload and retrieval of influencer-generated content.
- Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing the production error rate.
Tools and technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum
Viktor Shcherban
Last position:
AI Engineer (Freelance) at Empion
Enterprise AI content categorization and AI-powered web research.
- Built multi-LLM evaluation framework with annotated data
- Iterated LLM error rates based on annotated datasets
- Implemented AI-powered web research pipeline Stack: LLM, evals, OpenRouter, Python, Node.js, TypeScript, React
Muzamal Ali
Last position:
Data Scientist / AI Consultant at HelmX
- Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
- Collaborated on product features, achieving measurable impact and maintaining strong client relationships.
Can Savastürk
Last position:
Platform Engineer at ClimateChoice
In a lean, execution-focused environment, I took ownership beyond a narrow engineering lane, shaping and implementing systems across backend, data, and infrastructure. Partnered directly with the three founders in a fast-moving, high-stakes environment, turning strategic priorities into concrete technical decisions and production outcomes.
- Owned core platform development across backend (Django/Rest Framework/Postgres), ETL (Python/Dagster), infrastructure (Terraform/Kubernetes/AWS), and frontend (typescript/react) for a climate-tech SaaS product, driving continuous cross-stack development across five repositories from October 2021 to this day.
- Architected and owned a standalone internal Python scoring framework for CRC assessments, using YAML-driven rules and metaprogramming to enable non-technical users to define complex evaluation logic without hardcoded implementations.
- Built and stabilized ETL and scraping pipelines using Dagster and Scrapfly, improving document ingestion, tagging, retry behavior, deployment flow, and operational resilience.
- Contributed to platform modernization and reliability through Django/Python upgrades, Postgres/RDS and EKS changes, CDN/TLS updates, test and performance improvements, and observability hardening.
- Drove backend engineering for product features, translating requirements into technical specifications, API contracts, data structures, and scalable implementation plans.
Mario Jelinski
Last position:
Architect / Developer at handyhase
- Overhaul of the entire design and implementation of new UI/UX aspects using React
- Planning of the software architecture and structuring of the project for long-term scalability using Git for version control
Qaiser Abbasi
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Julien Look
Last position:
MLOps Engineer at SAMGEN
- Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
- Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
- Collaborating with Data Science team on MLOps workflow to automate integrated retraining
Matthias Zarzecki
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
Alicja Ryczak
Last position:
Senior Product Owner BFSG – Digital Accessibility & Conversion Optimization at AIDA Cruises
- Analyzed existing digital platforms for accessibility requirements under BFSG and WCAG 2.1 with a consulting firm
- Developed a product vision that unites digital accessibility and business goals like conversion optimization
- Defined relevant KPIs to measure success for both target areas
- Aligned strategy with cross-functional stakeholders, including Legal, BFSG consulting firm, Compliance, UX, Development, and Marketing
- Created and maintained a prioritized product backlog focusing on accessible features and conversion-related initiatives
- Derived detailed user stories and acceptance criteria based on legal standards (BFSG, WCAG) in close coordination with development teams
- Ensured BFSG compliance in digital product development with the help of a BFSG consulting firm
- Collaborated closely with UX/UI designers to develop accessible prototypes
- Conducted user research and usability tests focusing on users with disabilities
- Supported building an accessible design system
- Integrated A/B testing to evaluate conversion-related initiatives
- Managed the technical implementation of accessible features by the development team
- Conducted accessibility tests (e.g., screen reader, keyboard navigation)
- Monitored and optimized implemented features based on usage data and feedback
- Responsible for rollout/release and conducting user acceptance tests
- Designed and led interactive trainings on BFSG, WCAG, and UX accessibility for design teams, dev teams, and POs in collaboration with the consulting firm
- Built an internal knowledge platform to embed accessibility principles sustainably
- Raised company-wide awareness for inclusive digital products
Abhilasha Sharma
Last position:
Advisory Board at Intersteller Consulting GmbH
- Holds an advisory role in this startup on providing guidance on use of AI in product management to use Jira AI
- Working on real-world applications of AI tools like ChatGPT, Visual Studio, Augment, and Synthesia to enhance product management and user communication
Fikret Altay
Last position:
Senior Product Manager at Enocta
- Executing the roadmap for LMS/LXP platform with 550+ enterprise clients and 4+ million users
- Led the 0-to-1 development of a conversational AI role-play product with the AI team
- Led GTM for the AI Roleplay, creating a new ARR stream, acquiring 15+ enterprise customers in Q1
- Led the development & GTM of a conversational AI Mentor product
- Serving on the strategic leadership team, contributing to long-term product and business strategy
Roxana Bieber
Last position:
Omnichannel Strategy Lead & Transformation Management at emetriq GmbH
- Development and optimization of holistic full-funnel marketing strategies
- Analysis and evaluation of existing tracking and attribution models
- Development of recommendations to optimize data flow and tool integration
- Deriving insights based on performance data
- Creating management reports and deriving strategic recommendations for the C-level
- Developing an integrated, data-driven approach to manage digital marketing and communication activities
Burak Ceylan
Last position:
Senior Android Developer at Awesome Technologies GmbH
- Optimized the Amp healthcare app alongside a senior developer, specifically enhancing data caching mechanisms which led to a 25% improvement in load times.
- Applied MVI architecture, resulting in a 30% decrease in bugs and streamlining testing processes.
- Implemented CI/CD with Bitrise, reducing deployment sizes from 120MB to 104MB.
- Led the migration of 40% of the Java codebase to Kotlin.
- Achieved 85% unit test coverage.
Max Degterev
Last position:
Tech Lead, Interim CTO/CPO at MatchDispatch
I worked on automating cold outreach.
- Developed a queue architecture to support the parallel execution of large volumes of background tasks.
- Integrated multiple email delivery providers.
- Implemented an LLM-based data enrichment process.
Technologies: TypeScript, React, Node.js, Next.js, Drizzle ORM, PostgreSQL, Next-Auth, JWT, Docker, Kubernetes, AWS, CloudFlare, Traefik, Groq, Jest, Figma
Raghvendra Chauhan
Last position:
Graduate Product Manager at Metals Hub GmbH
- Led realization of AI-powered product experiences, including interactive AI-driven product tours and intelligent workflow assistants.
- Partnered with engineers and AI teams to design intuitive conversational interaction flows that improved user guidance and engagement by 25%.
- Translated design vision into detailed product specifications, ensuring clarity across chat-like and graphical interfaces.
- Prototyped and tested interaction models using user feedback loops and A/B experimentation to refine usability and trust.
- Owned end-to-end feature lifecycle — discovery, validation, delivery, optimization.
- Balanced simplicity and delight by streamlining complex workflows into intuitive, human-like digital interactions.
- Facilitated cross-functional alignment on priorities, technical feasibility, and measurable business impact.
Discover over 15,000 top freelancers
Statistics of experts using Firebase
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 14 years)
Position duration
1.7 years (Germany: 1.8 years)
Positions per freelancer
10
Top business areas
Product Development, Information Technology, Project Management
Top industries
Information Technology, Media and Entertainment, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
96% (Germany: 89%)
Master's degree or higher
50% (Germany: 54%)
Certifications per freelancer
1
Most common languages
English, German, Spanish
Speak two or more languages
93% (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 Berlin 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 Berlin using Firebase
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
App back end
Firebase is used to build the parts of an app that need fast setup and reliable scaling without a separate server stack. It fits authentication, data sync, file storage, messaging, analytics, and app release support for web and mobile products.
Core services
Strong specialists usually work across the Firebase stack, not just one product.
- Firebase Authentication for sign-in flows and identity setup
- Cloud Firestore for structured app data and real-time updates
- Realtime Database for low-latency sync patterns
- Cloud Functions for event-driven logic and integrations
- Cloud Messaging for push notifications
When experts help
Companies bring in freelance Firebase experts when a product needs clean data modeling, secure rules, or a stable handover from prototype to production. They also help when teams need to untangle mixed Firestore and Functions logic, improve release flow, or support a Berlin product team that works partly remote and partly on-site.
What strong specialists do
Good Firebase professionals write maintainable rules, shape collections around real product needs, and avoid data structures that become hard to query later. They understand how Auth, Firestore, Storage, and Functions work together, and they test edge cases around permissions, offline behavior, and background events.
Common delivery work
- New app setup with Firebase projects, environments, and access control
- Migration from custom back ends or another BaaS into Firebase
- Push notifications, app events, and in-app user flows
- Security rules review and data access cleanup
- Performance fixes for slow reads, writes, or function execution
Good fit indicators
Firebase is a strong fit when the product team wants speed, managed infrastructure, and a clear path from MVP to a live app. It is also common in consumer apps, internal tools, marketplace features, and mobile-first products where real-time data and quick iteration matter.
Frequently asked questions
What clients ask us most about Firebase — answered in short.
Firebase is used to build app back ends with managed services such as authentication, real-time data, file storage, messaging, and event-driven logic. Teams choose it when they want to ship web or mobile features quickly without running a full server stack.
Firebase is usually stronger when you want tight integration, fast setup, and mature mobile tooling. Supabase often appeals to teams that want a SQL-first model, while a custom back end gives full control but takes more design and maintenance work.
A strong Firebase specialist usually knows JavaScript or TypeScript, mobile app workflows, API design, and security rules. For many projects, experience with React, React Native, Flutter, or Node.js is also useful because Firebase often sits inside those stacks.
Firebase projects can range from simple authentication setup to complex event flows and data modeling. A small MVP may need a specialist for a short setup phase, while production systems often need someone who can review rules, functions, and schema design together.
Yes, Firebase work is often well suited to mixed collaboration because most tasks can be reviewed through code, console access, and shared environments. In Berlin, many teams bring the specialist in for workshops or handover sessions and keep the delivery remote afterward.
Firebase usually needs expert help when security rules are hard to trust, reads and writes become messy, or functions start carrying too much logic. Another sign is when the product has grown past the first prototype and the data structure no longer matches how the app is used.
A good Firebase professional can explain why a data model was chosen, how rules protect the app, and where logic should live in Functions rather than the client. Look for clear trade-offs, clean handover notes, and practical choices around testing, access control, and maintainability.
No, Firebase is widely used for web apps too, especially products that need login, sync, push messages, or quick backend delivery. Many teams use it across both web and mobile so the same data and authentication setup can support all clients.
The average hourly rate of freelancers in Berlin, Germany who have used Firebase in their recent projects is 86 €, which corresponds to a daily rate of about 688 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Firebase in their recent projects, 96% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Firebase in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Berlin, Germany who have used Firebase in their recent projects are English (100%), German (86%), and Spanish (14%).
The most common industries among freelancers in Berlin, Germany who have used Firebase in their recent projects are Information Technology (100%), Media and Entertainment (46%), and Retail (46%).
The most common business areas among freelancers in Berlin, Germany who have used Firebase in their recent projects are Product Development (100%), Information Technology (86%), and Project Management (54%).
Main locations of FRATCH Experts, who have recently used Firebase
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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Hamburg
Munich