Azure Functions Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Azure Functions
Niklas Witzel
Last position:
AI Engineer at Tensora GmbH
- Designed and developed a multi-tenant SaaS platform enabling organizations to build their own knowledge bases and chat with brand-customized AI assistants (white-label approach with dynamic branding per organization).
- Implemented a scalable RAG architecture with a GPT-4o tool-use loop, hybrid semantic search, and strict tenant isolation at database and search index level.
- Built persistent, project-like chat sessions including a streaming API (SSE), multilingual support, and speech input/output (STT/TTS).
- Delivered the cloud infrastructure as Infrastructure-as-Code, fully automated per-customer CI/CD pipelines, and an onboarding process for new tenants.
Technologies used: Python, FastAPI, Pydantic (v2 noted), Next.js, React, TypeScript, Tailwind CSS, OpenAI / LLMs (GPT-4o), Azure AI Search, Cosmos DB, Azure Blob Storage, Azure Cognitive Services Speech, Azure App Service, Azure Container Registry, Retrieval-Augmented Generation (RAG), Server-Sent Events (SSE), Docker, Terraform, GitHub Actions, REST, OpenID Connect (OIDC), Multi-Tenancy
Alexander Bromberg
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Nune Isabekyan
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Sophia Wagner
Last position:
AI Engineer & Technical Consultant at Freelance
- Delivered ML pipelines for OCR, semantic search, and computer vision
- Integrated Azure AI Agents and GPT workflows for automation and QA
- Deployed cloud-based FastAPI services with scalable architecture
- Created integration docs and advised on LLM production readiness
Matthias Wähler
Last position:
Freelance Consultant Business Intelligence (Self-employed) at mw-consult.it
Data Engineering
Business Analyst
Consulting
2025 – present
Data Engineer & Architect
- Azure Data Factory
- Azure Databricks (PySpark)
- PowerBI Service
Lead developer for the further development of the Modern Data Warehouse, as well as Power BI reports and data models based on the ERP systems Amparex and EyeOffice. Focus on topics for the marketing department with data connection via API to Amplitude and Klaviyo with Python
- 2024 – present
Data Engineer & Architect
- SQL Server (T-SQL)
- SSIS (ETL)
- SSAS Tabular
- PowerBI Report Server
- Atlassian Jira & migration to Azure DevOps with GIT (KANBAN)
Development of Power BI reports and data models based on Infor LN ERP data after migration from Baan, including the underlying data structures with Microsoft SQL Server for further development of the Data Warehouse
Consulting for controlling on the specification of business requirements and development of reporting solutions
- 2025 – 06.2025
Data Engineer & Architect
- PowerBI Dataflows
- PowerBI Service
Cloud migration of the Data Warehouse, as well as Power BI reports and data models from Microsoft Dynamics BC 2021 to Microsoft Dynamics BC Cloud, including migration of the underlying data structures from Microsoft SQL Server to Power BI Dataflows
- 2022 – 06.2024 (ongoing support for data engineers)
Data Engineer & Architect
- SQL Server (T-SQL)
- SSIS (ETL) & BIML
- SSAS Tabular
- Azure DevOps with GIT (SCRUM)
Development of analytical models based on Microsoft Dynamics BC 2021 in combination with data from the company's own MariaDB database, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse. Merging of the ERP systems BC 2021 and DATEV in the Data Warehouse
Consulting for business users on the specification of business requirements and coaching of developers for the development of reporting solutions
- 2022 – 08.2023
Business Analyst & Interim Manager
- PowerBI Service
- Azure Databricks (PySpark)
- Atlassian Jira (SCRUM)
Project management for reporting solution requirements, as well as development of Power BI reports and data models with data from Azure Databricks based on SAP R/3, Google Analytics, webshop and CRM with a business focus on customer, sales and marketing
- 2022 – 05.2022
Power BI Specialist
- PowerBI Service
- Azure DevOps with GIT (SCRUM)
Development of Power BI reports and data models based on data from Exasol with a business focus on assortment management in purchasing
- 2021 – present (ongoing support for existing customers)
Power BI Specialist & Data Engineer
- SQL Server (T-SQL)
- SSIS (ETL) & BIML
- PowerBI Service
- Azure DevOps with GIT (KANBAN)
- Azure Functions (Python)
Development of Power BI reports and data models based on abas ERP data, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse.
Synchronization of customer data for Pipedrive CRM via Azure Functions with Python.
Consulting for controlling and management on agile project management, the specification of business requirements and development of reporting solutions
- 2021 – present (ongoing support for existing customers)
Data Engineer & Architect
- SQL Server (T-SQL)
- SSIS (ETL) & BIML
- SSAS Tabular
- Azure DevOps with GIT (SCRUM)
Development of analytical models based on Microsoft Dynamics 365 FO, CS & CRM in combination with Microsoft Dynamics AX 2012 R3, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse
Concept for the migration of the SQL Server-based Data Warehouse to Microsoft Fabric with planned future implementation and temporary use of a hybrid data architecture for the introduction of Power BI Service during the migration phase
Consulting for business users on the specification of business requirements and development of reporting solutions
Enrico Goerlitz
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Michael Trapp
Last position:
Development of an app for displaying sheet music at Freelance Software Developer
- Industry: Digital music solutions
- Technologies used: Flutter, Dart, iOS, Android, GitLab, PlantUML
Wadim Lupejcenko
Last position:
Software Engineer & Consultant at Abat+ GmbH | Daimler Trucks AG
New development of the vehicle planning and delivery system (FAPS)
As part of the modernization of a central backend application, the existing monolithic COBOL-based system was replaced by a service-oriented architecture with Spring Boot. The goal of the project is to make the digital mapping of vehicle planning and delivery future-proof and scalable.
Work on the technical architecture and interface design
Development of a service based on Spring Boot for migrating existing data into a new data model
Development of REST APIs and the related service layer
Development of middleware for integrating the new backend into an existing client
Creation of unit and end-to-end tests
Adaptation of build pipelines
Developer training for customer staff (Java, Azure DevOps, general support)
Support for testers and other project members
Upgrade of the Spring Boot version (& Hibernate)
Creation of documentation
Java 8 and 17, Spring Boot, Spring JPA, Hibernate, Optimistic Locking (entity versioning), JUnit, Cucumber, PostgreSQL, Azure Cloud, Microservices, Azure Storage, Azure DevOps, Azure Kubernetes Service, RESTful web services, JSON, Scrum, Confluence, ArchUnit
Hicham Mokhtari
Last position:
Freelance Software Developer at Buhl Data Service GmbH
- Backend development: .Net 8, C#, PostgreSQL, Entity Framework Core, REST Web APIs, Docker, Kubernetes, Kafka, Open API Swagger, Apache Airflow, Resharper, Git, Microservices, SOAP, gRPC, Hangfire, OAuth 2, GraphQL
- Interface development for document processing with SmartFix, Softexpansion and Natif.ai: C#, REST API, Resharper, Git
- Deployment: Azure DevOps YAML, Vanilla Helmchart, Rancher, Kubernetes Cluster, Linux Docker, Windows VM, Python
- Unit tests and integration tests
- Telemetry, Kibana, Grafana, Elastic Search
- Work in a Kanban team of 8 developers, 1 tester and one Product Owner
Hannah De Vries
Last position:
Fullstack Developer at DB Cargo
- Development of Blazor-Server applications for data management
- Focus on unifying design and user experience
- Mentoring junior developers
- Establishing and consulting for coding guidelines and best practices
- Technologies: .NET 9, Blazor Server, MudBlazor, HTML, CSS, MS SQL Server (T-SQL, Views, Trigger, Stored Procedures, Table-Valued Functions), Entity Framework, Visual Studio, Scrum, agile, git
Keying Wu
Last position:
Freelance Fullstack Developer at Helaba Invest
- ChatGPT-like AI chatbot with file upload and interaction capabilities, hosted on Azure in Europe to ensure compliance with corporate data privacy regulations
- AI-powered legal document processing solution for automating the extraction of tax-related data from complex legal documents, enhancing accuracy of tax liability identification, reducing processing time, and mitigating risk of non-compliance
- Asset Manager Service portal (AMS) developed using Angular, Python, Docker, and Oracle DB, serving as a pivotal data catalog to enhance data retrieval efficiency and accuracy
- Dynamics 365 Azure integration via custom Azure Functions plugins to align CRM capabilities with unique requirements of an investment institute
Andre Fritzsche
Last position:
.NET Consultant (Fullstack) at AFri Consulting
Software development with C#
IT infrastructure development and maintenance with Microsoft Azure
Integration of third-party systems
Plan and set up DevOps CI/CD processes
C# (.NET 8)
Azure cloud services
DevOps
Jira
Dynamics
OData
API management
Key Vaults
Service Bus
Azure Functions
Blazor
Alexander Kapincev
Last position:
Senior Fullstack Developer at Deutsche Vermögensberatung AG (DVAG)
- Further development and maintenance of a complex sales platform focused on digital closing processes, customer portal interactions, and document generation for financial and insurance products
- Development and maintenance of microservices with Spring Boot 3 and Kotlin
- Frontend development with Angular 20 to display products, applications, and documents
- Conducting end-to-end tests with Playwright and integration tests with WireMock
- Creating and optimizing Quartz jobs and CronJobs
- Refactoring the security configuration in a multi-realm Keycloak setup with custom FilterChain, permission evaluator, and factory routing
- Creating dynamic emails with Thymeleaf
- Extensive error analysis with Application Insights, Log Analytics, and direct SQL debugging
- Introducing a dynamically controllable security architecture with flexible token processing based on path and realm
- Stabilizing and clearly structuring the closing process for complex product models
- Significantly increased maintainability and readability of code through modular refactorings
- Improved test stability and depth by combining Playwright, WireMock, and integration tests
- Targeted performance optimization through analysis of Hibernate statistics, query tuning, and use of SQL execution plans
- Technologies used: Java 21, Kotlin, Spring Boot 3, Angular, TypeScript, REST API, JSON, Kubernetes, Docker, PostgreSQL, Liquibase, Keycloak, OAuth2, GitHub Actions, Testcontainers, Azure Application Insights, Thymeleaf, Tilt, Microsoft SQL Server
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Aravind Sasi Nair Purayath
Last position:
AI – Data Specialist at Emirates Islamic Bank
- Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
- Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
- Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
- Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
- Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
- Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
- Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
- Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
- Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
- Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
- Integrated testing and CI/CD workflows for robust data pipeline deployment.
Discover over 15,000 top freelancers
Statistics of experts using Azure Functions
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.1 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
91%
Master's degree or higher
64%
Doctorate
15%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
93%
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 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 Azure Functions
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
Event-driven Azure work
Azure Functions is Microsoft’s serverless compute service for small, focused pieces of code that react to events. Teams use it for APIs, background tasks, file processing, message handling, and scheduled jobs without managing servers.
Common delivery patterns
- HTTP-triggered endpoints for lightweight APIs
- Queue- and event-driven processing
- Timer-based automation and maintenance jobs
- Durable workflows for multi-step processes
- Glue code between Azure services and external systems
Ecosystem and tooling
Strong Azure Functions work usually sits inside the wider Azure stack. Professionals need to know triggers and bindings, Azure Storage, Service Bus, Event Grid, Application Insights, and deployment via Azure CLI, Azure DevOps, or GitHub Actions.
When companies bring in specialists
Teams often ask for outside expertise when a function app needs a clean design, better observability, or safer scaling under load. The same applies when an older .NET, JavaScript, TypeScript, or Python codebase needs refactoring, or when local teams in Germany want remote support for a short delivery window.
What good specialists do well
Good professionals keep functions small, stateless where possible, and easy to test. They think about cold starts, retries, idempotency, security, and dependency management from the start. They also know when Azure Functions is the right fit and when another service should carry the workload.
Clear signs you need help
- Your triggers or bindings are hard to understand
- Failures are difficult to trace in production
- Scaling or latency is not behaving as expected
- Deployment pipelines are unstable or inconsistent
- The team needs help choosing between Functions, Logic Apps, or AKS
Frequently asked questions
Questions about Azure Functions? Start with the answers below.
Azure Functions is used for small units of code that run only when something happens. Common uses include HTTP APIs, file handling, scheduled tasks, queue consumers, and event-driven integrations across Azure and external systems.
Azure Functions is Microsoft’s serverless option and is often chosen when the rest of the system already lives in Azure. Compared with AWS Lambda or Google Cloud Functions, the main differences are the surrounding services, deployment flow, and operational fit rather than the basic event-driven model.
A strong Azure Functions specialist usually knows C#, JavaScript, TypeScript, or Python, plus Azure Storage, Service Bus, Event Grid, and Application Insights. Git, CI/CD, and secure cloud configuration also matter because the code is only one part of the delivery.
Azure Functions can be simple at first, but production work needs someone who understands triggers, bindings, retries, and observability. For a small prototype, a general cloud specialist may be enough. For a business-critical system, you want someone who has shipped and supported function apps before.
Azure Functions fits best when the team needs code-first logic, custom validation, or tighter control over processing. Logic Apps is often better for low-code orchestration and connector-heavy workflows, while Functions is stronger when the logic is more technical and reusable.
Yes, Azure Functions work is often delivered remotely because most of the setup lives in Azure and in code repositories. On-site time can help when a German team wants faster workshops, access reviews, or coordination with internal platform teams, but it is usually not required for delivery.
Look for clear function boundaries, good error handling, solid logging, and an explanation of why the chosen trigger and hosting model fit the case. A capable Azure Functions professional can also talk about scaling behavior, retries, timeouts, and how the functions will be tested and deployed.
One common mistake is putting too much logic into a single function and making it hard to maintain. Another is ignoring cold starts, idempotency, or monitoring. A strong Azure Functions expert will design for these issues early instead of patching them later.
The average hourly rate of freelancers in Germany who have used Azure Functions in their recent projects is 94 €, which corresponds to a daily rate of about 754 € based on an 8-hour working day.
Of the freelancers in Germany who have used Azure Functions in their recent projects, 91% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Germany who have used Azure Functions in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Azure Functions in their recent projects are German (100%), English (93%), and French (13%).
The most common industries among freelancers in Germany who have used Azure Functions in their recent projects are Information Technology (85%), Banking and Finance (48%), and Manufacturing (43%).
The most common business areas among freelancers in Germany who have used Azure Functions in their recent projects are Information Technology (98%), Product Development (93%), and Business Intelligence (53%).
Main locations of FRATCH Experts, who have recently used Azure Functions
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
