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Telegram Experts in Germany

matched in minutes from over 15,000 CVs

Hire experts who create Telegram bots, Mini Apps, automation workflows and secure messaging integrations. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.

Meet FRATCH Experts in Germany, who have recently used Telegram

Verified expert

Daniel A.

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AI Developer & Solutions Architect | RAG & Automation

Mülheim
Daniel A.

Last position:

Sales Development Representative (SDR) at TenderFlow GmbH

  • Acquires new B2B customers for an AI SaaS startup in the public tendering space and books product demos with IT decision-makers.
  • Qualifies target customers based on a defined ideal customer profile, including discovery, needs analysis, and objection handling.
  • Builds domain knowledge in public procurement (EVB-IT, German and EU procurement portals) for conversations on equal footing.
Verified expert

Marc S.

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Fullstack Engineer | Java & Spring Boot | Angular | System Integration

Leverkusen
Marc S.

Last position:

Fullstack Developer at PLANT-MY-TREE

PLANT-MY-TREE®-per-order

The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.

Tasks:

  • Design of the modular software architecture based on Spring Modulith to ensure high maintainability
  • Development of the event-driven business logic for evaluating Shopify orders via webhooks
  • Implementation of automated invoicing by connecting the weclapp REST API
  • Building the frontend using React Router and Shopify App Bridge for native integration
  • Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
  • Integration of internationalization processes for global use in the frontend and email communication
  • Automation of deployment processes using Docker and GitLab CI/CD

Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest

Verified expert

Sundeep K.

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AI Engineer

Ingolstadt
Sundeep K.

Last position:

AI Engineer at Kingstech Services Pte Ltd

  • Fine-tuned and deployed Generative AI and LLM models (OpenAI, DeepSeek, Qwen-2.5) using PyTorch and Hugging Face, increasing ERP automation accuracy by 25%.
  • Designed and implemented a secure RAG-powered AI Chabot for customer-specific invoice and quotation generation, cutting response times by 40%.
  • Architected cloud-native AI/ML pipelines on AWS and GCP with Docker and Kubernetes for scalable model training, deployment and monitoring.
  • Developed and integrated an API-driven AI Chabot (Telegram) with ERP systems, boosting document processing speed by 30%.
  • Built AI agents for chatbots to enable multi-step reasoning, intelligent task execution, and context-aware interactions.
  • Applied ML and NLP techniques for intelligent document understanding, workflow automation, and data-driven business decisions.
Verified expert

Lukas G.

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Self employed consultant and Full-Stack UX Engineer and Architect

Merenberg
Lukas G.

Last position:

Ertrea Campaign Helper

Self-initiated, solo project, in active development

  • Full-stack TypeScript app (Nuxt 4, Vue 3, Nitro, Drizzle ORM, PostgreSQL) for running tabletop RPG campaigns, built around a system-agnostic core designed to extend from Pathfinder 2e to other systems without rewrites.
  • Deliberate content-ownership model: Live References vs. Owned Content, with publishing modeled as an immutable snapshot rather than a flag, designed for forward compatibility from day one. Namespaced, frozen slugs for collision-safe URLs.
  • Data ingestion pipeline importing curated Foundry VTT data into a normalized schema, with version-checking. Library currently holds 1,209 creatures and 1,796 spells (PF2e Remastered content); licensing confirmed clear under ORC/OGL for statblock display.
  • Strict TDD workflow (red-green-refactor, vertical slices; Vitest, Playwright, PGlite for fast in-memory DB-integration tests), Architecture Decision Records, a maintained domain glossary.
  • Standalone, account-free public tools (Creature Database, Spell Database, Encounter Builder) built to launch ahead of the full campaign/adventure product, as a lower-friction wedge to get real usage sooner. Self-hosted on a Hosteurope VPS.

Stack: Nuxt 4, Vue 3, Nitro, Drizzle ORM, PostgreSQL, Vitest, Playwright, PGlite

Verified expert

Markus K.

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Senior Full-Stack Engineer / Cloud Systems Architect

Schweinfurt
Markus K.

Last position:

Senior Full-Stack Engineer / Cloud Systems Architect at Bernd Linder

  • Self-employed since 2008 in planning, developing, and supporting custom software, web, and system solutions for clients as well as my own projects.

  • Complete technical implementation of projects — from requirements analysis and architecture to programming, release, maintenance, and further development.

  • Development of database-driven web applications, customer portals, admin interfaces, ordering processes, user and permission management, and custom backend functions.

  • Design and development of REST APIs, webhooks, microservices, and interfaces to reliably connect different applications and external services.

  • Implementation of numerous smaller services and automations for data processing, monitoring, notifications, recurring tasks, and technical business processes.

  • Development of Telegram bots with the Telegram Bot API, including automated notifications, user interactions, status queries, and control of technical workflows.

  • Programming native Android applications in Java as well as developing my own games and interactive applications with Unity.

  • Development, extension, and modernization of existing PHP, Java, JavaScript, and MySQL applications, including error analysis, performance optimization, and adaptation of grown codebases.

  • Setup and support of Linux-based server environments with Apache and Nginx, as well as management of databases, domains, DNS, SSL certificates, email services, access rights, and backups.

  • Development of browser-based automations with Selenium for data collection, checking, and processing of recurring workflows, reducing manual steps and making processes more reliable.

  • Independent implementation of complete platforms and web projects, including devpraxis.de, hq-smm.com, and socialboost24.com.

  • Many years of technical project support with responsibility for troubleshooting, maintenance, further development, documentation, and stable operation of production systems.

  • Quick onboarding into existing applications and unfamiliar codebases to analyze technical problems in a structured way and implement practical, long-term maintainable solutions.

  • Direct coordination with clients, clear explanation of technical topics, and independent implementation of agreed requirements.

  • By combining software development, automation, and system administration, many tasks can be handled completely from a single source, which reduces coordination effort, technical dependencies, and processing time.

Verified expert

Adnan U.

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Junior AI & Automation Engineer

Dortmund
Adnan U.

Last position:

Independent AI & Automation Projects

  • Development of an automated job-scouting workflow for the aggregation and LLM-based evaluation of job postings from RSS feeds and APIs.
  • Development of a Telegram bot for voice and text messages, featuring LLM-supported processing, summarization, and structured JSON output.
  • Implementation of a personal task-planning assistant using n8n, OpenRouter, and Supabase for automated daily and knowledge organization.
  • Development of LLM chatbots for structured knowledge retrieval utilizing prompt constraints, guardrails, and forced output formats.
Verified expert

Markus K.

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Founder & Managing Director

Kelkheim (Taunus)
Markus K.

Last position:

Founder & Managing Director at Qrafto UG (haftungsbeschränkt)

  • Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
  • Product and technology responsibility: Designed and developed the entire product.
  • Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
  • Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
  • Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
  • Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Verified expert

Viktor S.

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AI Engineer & Full-Stack Developer

Berlin
Viktor S.

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
Verified expert

Banjika N.

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Freelance | AWS Authorized Instructor

Köln
Banjika N.

Last position:

Freelance | AWS Authorized Instructor at Go Courses

  • Delivered AWS-authorized content through AAI program
  • Facilitated group and 1-on-1 mentorship sessions
  • Coached non-technical learners into cloud career paths
  • Created learning materials aligned with AWS Skill Builder and AWS Academy labs
Verified expert

Nikolai R.

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Principal Engineer (Contract)

Teningen
Nikolai R.

Last position:

Principal Engineer (Contract) at Independent Contractor

  • Built multi-tenant warehouse management SaaS: 40 API modules, 150+ routes, real-time updates via SignalR
  • Technologies: React, TypeScript, Redux Toolkit, RTK Query, Webpack, .NET 8, PostgreSQL, SignalR, Docker, GitHub Actions
  • Landing: Next.js 14, Tailwind CSS, 17 localizations, Stripe payments (SEPA + cards)
  • Testing: xUnit (150+ files), Jest, Playwright E2E; CI/CD: Docker, GitHub Actions
  • Telegram AI agent: daily inventory reports, shipment alerts and warehouse monitoring delivered to mobile
  • Background jobs and scheduled tasks for automated reporting, alerts, and data synchronization
  • Built German e-invoicing SaaS (XRechnung, ZUGFeRD), GDPR compliant, multi-tenant architecture
  • Technologies: React, TypeScript, RTK Query, Python, FastAPI, PostgreSQL, Redis, Celery; Testing: pytest (294 tests), Playwright
  • Implemented async task queues (Celery + Redis) and scheduled jobs for invoice processing, email notifications, and DATEV export
  • Developed AI-powered content automation platform: analyzes Git commits, generates and publishes posts to LinkedIn and Discord, responds to GitHub Issues automatically
  • Cron-based automated publishing pipeline and scheduled content generation and distribution across platforms
  • Multi-LLM architecture (OpenAI, Claude, Gemini) with pluggable provider system and RAG-based knowledge assistant integrated across all SaaS products
Verified expert

Filipp T.

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Multi-chain LLM copilot for academic teaching and studying

Bonn
Filipp T.

Last position:

Multi-chain LLM copilot for academic teaching and studying at Infolab.ai

  • Build a sophisticated AI copilot to augment the students’ learning experience and provide AI-derived insights to professors.
  • Build a multi-chain LLM system adapting to user needs at its own accord with a Weaviate vector DB based RAG system and evaluated it with Ragas.
  • Build responsive react frontend, and backend systems handling auth, data management and auxiliary services as a RESTful API.
  • Deployed and managed the app to the cloud in a production environment including the CICD via multi-stage deployment.
Verified expert

Wisdom N.

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DevOps Engineer

Berlin
Wisdom N.

Last position:

DevOps Engineer at Peer Network PSE UG

  • Built full CI/CD pipelines using GitHub Actions, Docker Compose, PostgreSQL, PHPStan, Newman, Gitleaks, Trivy, SQL validation, and HTMLExtra reporting.
  • Implemented automated SQL import in CI (docker-entrypoint-initdb.d) and custom Postman collection merging with Node.js for deterministic API testing.
  • Created organization wide PR auto labeling workflow and a Developer Mapping System (GitHub, Developer, Discord) for targeted CI notifications.
  • Developed full local DevOps environment (Dockerfile.local, Nginx and Supervisor) and a 400+ line Makefile supporting CI2, local CI replication, testing, monitoring, and pre-commit checks.
  • Built strict SQL validation system enforcing safe migration rules and blocking unsafe PRs.
  • Automated QA reporting: HTMLExtra, GitHub Pages deployment and auto pruning.
  • Implemented production API monitoring (Bash, Python, cron and Telegram alerts).
  • Built and deployed Mintbot automation (GraphQL queries, retries, logging, cron).
  • Designed backend and database deployment automation (SQL diff detection, DB cloning, SSH ProxyJump deployment, rollback logic, Discord notifications).
  • Created reusable workflow library (Discord messaging, artifact upload, Trivy, Gitleaks, branch sync, auto update PR, auto label).
  • Designed internal DevOps Dashboard architecture for CI health, PR freshness, repo analytics.
  • Built GHCR base image pipelines with FFmpeg, Rust, and PHP extensions for faster CI builds.
  • Standardized .github/ documentation, naming conventions, workflow structures.
  • Introduced Dependabot for the backend repository and built Cloudflare Worker for CVE alerts to Discord.
  • Implemented GitHub Actions enforcement: required checks, blocked outdated PRs, protected branches, mandatory reviews.
Verified expert

Alex I.

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Public Speaker

Berlin
Alex I.

Last position:

Public Speaker at WeAreDevelopers

  • Participated as a public speaker regarding leadership and transformational topics at the WeAreDevelopers World Congress with 15 thousand visitors.
Verified expert

Marharyta V.

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E-commerce Operations Specialist / Team Lead

Berlin
Marharyta V.

Last position:

E-commerce Operations Specialist / Team Lead at KMA.biz

  • Built and led a team of 10, creating training materials and structured workflows that improved efficiency and accountability.
  • Streamlined processes and introduced weekly reporting, shortening workflows and reducing issue resolution times.
  • Coordinated cross-functional projects, including the development of Telegram bots that automated customer interactions and key tasks.
  • Launched 100+ new SKUs in Nutra and Cosmetics, contributing to monthly revenue growth to over €1.5M.

Discover over 15,000 top freelancers

Statistics of experts using Telegram

Aggregated from the professional profiles of matched freelancers.

Experience

13 years

Telegram experts in Germany have 13 years of professional experience on average.

Position duration

3.4 years

Telegram experts in Germany stay in a single position for 3.4 years on average.

Positions per freelancer

7

Telegram experts in Germany have completed 7 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Operations

Telegram experts in Germany have gathered most of their hands-on project experience in Information Technology, Product Development, and Operations.

Top industries

Information Technology, Education, Retail

Telegram experts in Germany are most in demand in Information Technology, Education, and Retail.

Certification focus areas

Information Technology, Business Intelligence, Product Development

Telegram experts in Germany earn their certifications most often in Information Technology, Business Intelligence, and Product Development.

Bachelor's degree or higher

94%

94% of Telegram experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

50%

50% of Telegram experts in Germany hold at least a Master's degree.

Certifications per freelancer

3

Telegram experts in Germany hold 3 professional certifications on average.

Most common languages

English, German, Ukrainian

Telegram experts in Germany most often speak English, German, and Ukrainian.

Speak two or more languages

94%

94% of Telegram experts in Germany speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 3 6 9 12
3 of the Telegram experts in Germany charge less than €400 per day.
8 of the Telegram experts in Germany charge between €400 and €800 per day.
2 of the Telegram experts in Germany charge between €800 and €1200 per day.
One of the Telegram experts in Germany charges between €1200 and €1600 per day.
One of the Telegram experts in Germany charges €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany using Telegram

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

800
600
400
200
Rate comparison chart
Daily rate avg. 617 €

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 640 €

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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Telegram 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 (94%)
  • Education (47%)
  • Retail (41%)
  • Banking and Finance (35%)
  • Healthcare (35%)
  • Professional Services (35%)
  • Transportation (24%)
  • Food and Beverage (18%)

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

About the technology

Telegram’s role

Telegram is a cloud-based messaging service used for private conversations, groups, broadcast channels and customer communication. Its open interfaces make it more than a chat app: companies use Telegram Messenger to connect users with services, content and support workflows. Telegram’s focus on speed, broad device access and configurable privacy features suits both public communities and direct interactions.

Bots and Mini Apps

Telegram bots respond to commands, messages and events inside chats. Mini Apps extend this model with interactive web experiences that can support onboarding, commerce, account services or internal processes. Specialists connect these interfaces to business systems while keeping permissions, authentication and user journeys clear.

  • Create conversational bots for support, sales and operations
  • Build Telegram Mini Apps with responsive user flows
  • Connect payments, forms, notifications and external services
  • Manage channels, groups and automated moderation

APIs and tooling

The Telegram Bot API supports messages, media, keyboards, webhooks and administrative actions. More advanced integrations may use the Telegram API, TDLib or MTProto, depending on the product’s requirements and access model. Strong technical work also covers backend services, databases, queues, REST interfaces, web applications and observability around the integration.

When specialists help

Companies usually bring in freelance Telegram expertise when a bot must move beyond a prototype, a community needs reliable moderation or an existing integration has become difficult to maintain. Specialists can assess the right API approach, design error handling and document the connection for internal teams. In Germany, they may also support distributed teams that need clear communication in English or German.

  • Replace manual support steps with automated Telegram workflows
  • Connect Telegram interactions to CRM, ERP or ticketing systems
  • Improve delivery, logging, access control and failure recovery
  • Prepare a bot or Mini App for production operations

Quality signals

A strong professional understands Telegram’s update model, chat types, permissions and limits instead of treating the service as a generic webhook endpoint. They test retries, duplicate events, media handling and user consent, then separate bot logic from business logic. Clear deployment notes, monitoring and a plan for API changes are useful signs of durable work.

Delivery and fit

The right specialist starts by defining the user journey, Telegram surfaces, data flows and external systems involved. They should explain why the Bot API, Telegram API, TDLib or another component fits the case, including its trade-offs. For remote or on-site collaboration in Germany, agree early on working language, security responsibilities, release ownership and support after launch.

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Frequently asked questions

What clients ask us most about Telegram — answered in short.

Companies use Telegram for customer support, broadcast channels, community management, notifications, lead capture and automated service journeys. Bots and Mini Apps can connect these interactions with internal systems, payments or web-based processes.

Telegram offers public channels, large groups, bots and Mini Apps in a flexible messaging ecosystem. WhatsApp is often selected for direct customer communication, while Slack is built around workplace collaboration; the best choice depends on audience, workflow, governance and required integrations.

A strong Telegram specialist often works with backend services, webhooks, REST APIs, databases, queues and cloud deployment. Experience with authentication, payment flows, moderation, analytics and monitoring is also valuable for production integrations.

A simple Telegram bot may need focused integration work, while a Mini App or multi-system workflow requires broader product and backend expertise. Assess the project by its user journeys, security needs, data connections and operational support rather than by the technology name alone.

Yes, Telegram work is well suited to remote collaboration because requirements, bot flows and integrations can be reviewed online. Teams in Germany should define communication routines, working language, access controls and ownership of deployed services before work begins.

The Telegram Bot API is usually enough for bots that receive updates, send messages, manage interactions and connect to business systems. The Telegram API, TDLib or MTProto may be considered when a product needs deeper client-level capabilities that bots do not provide.

Review a specialist’s handling of retries, duplicate updates, permissions, media, rate limits and failed external requests. Good Telegram work includes readable architecture, secure secrets, useful logs, automated tests and documentation that another professional can maintain.

Ask which Telegram surfaces are required, who owns the bot or channel, what data must be stored and which external systems are involved. A Telegram specialist should also clarify deployment access, moderation responsibilities, release expectations and support after launch.

The average hourly rate of freelancers in Germany who have used Telegram in their recent projects is 77 €, which corresponds to a daily rate of about 617 € based on an 8-hour working day.

Of the freelancers in Germany who have used Telegram in their recent projects, 94% hold at least a Bachelor's degree and 50% hold at least a Master's degree.

On average, freelancers in Germany who have used Telegram in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 3.4 years.

The most common languages among freelancers in Germany who have used Telegram in their recent projects are English (100%), German (94%), and Ukrainian (18%).

The most common industries among freelancers in Germany who have used Telegram in their recent projects are Information Technology (94%), Education (47%), and Retail (41%).

The most common business areas among freelancers in Germany who have used Telegram in their recent projects are Information Technology (94%), Product Development (88%), and Operations (53%).

Main locations of FRATCH Experts, who have recently used Telegram

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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