
Google Cloud Platform Experts in Nuremberg
, matched fast from over 15,000 CVsHire experts who design secure GCP architectures, automate Kubernetes deployments and build data platforms with BigQuery, Cloud Run and Pub/Sub. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Nuremberg, who have recently used Google Cloud Platform
Oleg O.
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Jan M.
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
Partha N.
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Michael G.
Last position:
Lead Global eCommerce Operations at PUMAGroup
- Bedrock technology operations role providing the foundations on which PUMA's global product teams build PUMA.com and associated systems
- Managed a €3.5 million CAPEX portfolio including ~20 externals and 16 platform and tooling vendors
- Started up and led five functional teams for platform engineering, cloud administration, edge technology, continuous performance testing, and L2 support / incident management
- Person of last resort for mysteries, intractable bugs, compliance crises, litigation support, and black-hole issues where ownership was unclear or contested
- Sole author and driver of a multi-million-euro, multi-year RFP for Global Operations Center serving the direct-to-consumer technology estate for eCommerce, order management, and brick-and-mortar retail tech support
- Conceived, designed, developed and productionized Order Viewer, a secure internal application providing observability into PUMA.com order data at sub-second latency; independently delivered architecture, implementation, GCP deployment, SSO integration and organizational compliance.
Vladimir E.
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Muntaha S.
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Elnazossadat H.
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Vasuraj B.
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Ekaansh K.
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Torben M.
Last position:
Solution Architect (Volunteer) at Stop The Traffik
- Designed 3 architectures to determine the most cost-effective solution regarding customer requirements
- Created the production and test environments from scratch
- Tech Stack: AWS (Serverless, CI/CD), GitHub
Ralf T.
Last position:
Director Global Cloud - Quality & Compliancy at Eviden
- Leading a global team for quality assurance and compliance in cloud services
Christian P.
Last position:
Lead Consultant at masoona Consulting GmbH
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud Platform
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 16 years)

Position duration
2.4 years (Germany: 2 years)

Positions per freelancer
7 (Germany: 11)

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Banking and Finance, Retail

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
67% (Germany: 59%)

Certifications per freelancer
3

Most common languages
German, English, Spanish

Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg 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.
Discover detailed Google Cloud Platform rate benchmarks:
Explore rate insightsAverage rates of experts in Nuremberg using Google Cloud Platform
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Google Cloud Platform 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 (92%)
- Banking and Finance (58%)
- Retail (50%)
- Automotive (33%)
- Healthcare (33%)
- Manufacturing (33%)
- Professional Services (33%)
- Education (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud foundation
Google Cloud Platform, commonly called GCP or Google Cloud, is a public cloud environment for running applications, data services and enterprise infrastructure. Companies use it to provision compute, storage, networks and managed services without maintaining every physical system themselves. Workloads can run in Google-managed regions, private environments or hybrid architectures.
What it builds
GCP supports customer-facing applications, internal business systems, analytics platforms and machine learning products. Its services cover both small cloud-native workloads and complex enterprise estates.
- Deploy containerized services with Cloud Run or Google Kubernetes Engine
- Store and analyze data with Cloud Storage, BigQuery and Dataflow
- Connect systems through Pub/Sub, APIs and event-driven services
- Run managed databases with Cloud SQL, Spanner or Firestore
Ecosystem and tooling
Strong specialists work across the Google Cloud console, gcloud CLI, Terraform and Google Cloud Deployment Manager alternatives. They commonly use Docker, Kubernetes, Helm, GitHub Actions or Cloud Build for delivery. IAM, VPC networking, Cloud Monitoring, Secret Manager and Security Command Center support governance and operations.
When expertise matters
Companies often bring in freelance GCP expertise when moving workloads from on-premises systems or another cloud provider. Specialists can establish landing zones, reduce operational complexity, modernize applications and prepare data estates for advanced analytics. In Nuremberg, this can support industrial, logistics, healthcare and software businesses while allowing remote collaboration across Germany.
- A migration plan lacks clear dependencies and rollback paths
- Cloud costs or permissions are difficult to explain
- Releases depend on manual infrastructure changes
- Data pipelines cannot meet reliability or governance needs
Delivery and security
A capable professional turns business requirements into documented cloud architecture and repeatable infrastructure. They define IAM roles, network boundaries, backup policies and observability before production use. They also test failure recovery, review service limits and make operational ownership clear for internal teams.
Choosing a specialist
Look for evidence of systems similar to yours, not just a list of Google Cloud certifications. A strong professional can explain trade-offs between managed services, containers, serverless components and virtual machines in plain language. They should show how Terraform, CI/CD, monitoring and security controls fit together, and adapt communication to remote or on-site teams in Nuremberg.
Frequently asked questions
Before you brief your next project: the most common questions about Google Cloud Platform.
Google Cloud Platform is used to host applications, manage databases, process data and run machine learning workloads. Its services also support container orchestration, event-driven integration, identity management and hybrid connectivity.
Google Cloud Platform is often considered for its strengths in data analytics, Kubernetes and machine learning. AWS and Azure may be a better fit when a company already has deep ties to their ecosystems, so the right choice depends on existing skills, compliance needs, architecture and migration effort.
Google Cloud Platform work often requires Terraform, Docker, Kubernetes, Linux, networking and CI/CD knowledge. Strong specialists also understand IAM, observability, data engineering and application security rather than treating cloud services as isolated products.
GCP projects need a specialist who has handled the same level of risk and complexity, from a focused Cloud Run service to a regulated multi-project environment. Ask for examples involving production operations, recovery planning, access controls and the specific Google Cloud services your scope requires.
Google Cloud Platform projects are often suitable for remote collaboration because infrastructure, documentation and delivery pipelines are digital. On-site sessions in Nuremberg can still help with legacy systems, stakeholder workshops or factory and office connectivity, while clear English or German communication keeps decisions moving.
Google Cloud Platform quality shows in clear architecture decisions, reproducible infrastructure and practical security controls. Review a specialist's approach to monitoring, failure recovery, cost visibility and handover, then use a focused technical discussion to test whether they can explain trade-offs.
Google Cloud Platform managed services are useful when a team wants to reduce routine administration and focus on product or data work. A specialist should still assess portability, performance, integration limits, operational ownership and vendor dependency before recommending services such as BigQuery, Cloud SQL or Pub/Sub.
Google Cloud Platform engagements may produce a target architecture, Terraform modules, migration runbooks, CI/CD pipelines and secured project environments. Depending on scope, the professional may also deliver data pipelines, Kubernetes configurations, dashboards, incident procedures and training for the internal team.
The average hourly rate of freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects is 88 €, which corresponds to a daily rate of about 705 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects are Information Technology (92%), Banking and Finance (58%), and Retail (50%).
The most common business areas among freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects are Information Technology (100%), Product Development (83%), and Business Intelligence (67%).
Main locations of FRATCH Experts, who have recently used Google Cloud Platform
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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