
Python Expert in Frankfurt
for production systems, automation and data work, matched in minutes with vetted specialistsHire experts who build APIs with Django and FastAPI, automate operations, and create reliable data and machine learning workflows with Python. Get a precise match to a vetted, available freelancer without slowing down your project.
Meet FRATCH Experts in Frankfurt, who have recently used Python
Reza N.
Last position:
Senior IT-Security Expert at Teambank AG
- Completed the integration of log sources into Microsoft Sentinel, including GCP workloads – centralized consolidation of all security-relevant events from Azure and GCP environments for complete end-to-end telemetry and comprehensive compliance evidence
- Developed custom rules and use cases based on the GFG Use-Case Library and the MITRE ATT&CK Matrix to cover company-specific threats and GFG-relevant scenarios with precise, mapped detection rules
- Tuned detection rules to minimize false positives, optimized detection thresholds, and modeled exceptions – enabling the SOC to work with relevant, prioritized alerts while reducing Mean Time to Detect/Respond
- Built SOAR capabilities in Sentinel by developing playbooks to automate recurring response processes such as containment, user and host isolation, and ticketing – shorter response times and 24/7 scalability
- Designed and built a log transformation solution to normalize and enrich incoming raw logs (GeoIP, CMDB, threat intelligence) and convert them into a consistent schema for high-performance KQL queries, use case logic, and correlations
- Managed Azure security through Azure Policies to enforce security and compliance standards, prevent drift, and continuously remediate deviations
- Operated the Defender XDR portal to link endpoint, identity, email, and SaaS signals with Sentinel findings, enable holistic incident triage, and orchestrate measures directly from XDR
Technologies: Microsoft Sentinel, Microsoft Defender XDR, Azure Policy, KQL, GCP, MITRE ATT&CK
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self hosted solutions
- Development of reusable agentic workflows and mini applications that enable non technical employees to solve business problems independently
- Implementation of internal business applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Implementation of nine mini applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Techstack: Python, Nextjs, Typescript, Streamlit, Anthropic SDK (Claude), Azure, Linux Ubuntu, PostgreSQL, MS SQL, Angular, Authentik
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Kurt H.
Last position:
Interim Scrum Master / Agile Delivery Lead at Boehringer Ingelheim (via Fusion Consulting)
- Senior agile practitioner in a complex, regulated pharmaceutical environment — facilitating Scrum ceremonies across three international teams (~40 people) while supporting delivery governance and agile coaching.
- Time-limited assignment to bridge the gap until the client could fill the role internally
- Facilitated all Scrum ceremonies (Sprint Planning, Daily Stand-up, Review, Retrospective) across multiple international teams; kept sprints predictable and productive
- Coached teams and Product Owners in agile practices within a GxP-regulated environment, pragmatically balancing agile ways of working with QMS compliance requirements
- Tracked and visualized delivery metrics, managed dependencies, and produced status reports for senior stakeholders and Steering Committee
- Stepped up to project leadership of the internal CCMS product initiative: introduced structured processes and transparent tooling into a previously low-governance environment
- Actively contributed to the company-wide Agile Community of Practice, including authoring blog articles on agile topics
- Commended for analytical thinking, reliability under pressure, and the ability to manage multiple workstreams simultaneously
Kevin F.
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Justina K.
Last position:
Freelance Consultant for Change & Data Transformation at Freelance Fast Data Consulting
Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present
- Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
- Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.
Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025
- Concept development and solution design for new end-to-end processes including technical interfaces
- Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
- Analysis and validation of data models
- Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
- Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
- Documentation and comments on technical and business requirements to support implementation in agile squads
Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present
- Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
- Development of business solution concepts for migration to the target system, including system integration and data flows
- Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
- Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
- Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Torsten F.
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.
Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.
Supporting stakeholders in managing sales processes and early detection of KPI trends.
Use of Microsoft Power BI as central analysis and reporting platform.
Developing a proposal for the necessary evolution of processes and the Power BI platform.
Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.
Analysis and inventory of the client's Power BI platform.
Analysis of processes and data governance.
Recording and documenting current business processes.
Developing recommendations for process and reporting platform improvements.
Designing and implementing dashboards in Power BI.
Defining company-wide KPIs and aligning them with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Anthony M.
Last position:
Research and Development, AI for Enterprise at Mwanachama
- Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
- Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
- Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
- Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
- AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
Maxime D.
Last position:
Lead Product Manager E-invoicing & AI at fino data services GmbH
- Responsible for the concept, planning, and implementation of the product development of GetMyInvoices 2.0 and the subcomponent InvoiceRails
- Independent work on all aspects of the project, including concept, specification in tickets, and coordination of developers
- Creation, management, and prioritization of tickets to ensure all tasks are completed on time and with high quality
- Carrying out and/or coordinating tests and ensuring the proper implementation of the developed features and functionalities
- Close collaboration with developers to clarify technical requirements and ensure the implementations match the specifications
- Regular reporting on project progress and documentation of key decisions, changes, and risks
- Taking on the subject matter lead for all topics around e-invoicing and Peppol, especially in relation to the InvoiceRails component
- Internal consulting and knowledge sharing on e-invoicing and Peppol for other teams and departments
- Tracking market trends and new developments in e-invoicing and Peppol to continuously adapt the product strategy
- Ensuring the long-term scalability and flexibility of the products for future technical and regulatory changes in the e-invoicing area
Matthias V.
Last position:
Freelance IT Consultant at Freelance IT Consultant
Uday V.
Last position:
Senior Full Stack Java Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Alexander H.
Last position:
Freelance Full-Stack Engineer & Technical Lead at Self Employed
- Full-stack TypeScript development
- Application architecture
- Technical leadership
- Infrastructure and scalability
- Legacy and architecture migrations
- Building and improving production applications
Benjamin R.
Last position:
Technical Director at maincubes Holding & Service GmbH
- Development and implementation of technical guidelines for electrical and mechanical systems
- Development of the electrical safety organisation as responsible electrician (gVEFK)
- Implementation and oversight of DCIM and related technical software solutions
- Design of technical solutions for lifecycle infrastructure and customer projects
Discover over 15,000 top freelancers
Statistics of experts using Python
Aggregated from the professional profiles of matched freelancers.
Experience
16 years

Position duration
2.4 years (Germany: 5.1 years)

Positions per freelancer
11 (Germany: 10)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Professional Services

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
93% (Germany: 94%)
Master's degree or higher
56% (Germany: 69%)
Doctorate
11% (Germany: 12%)

Certifications per freelancer
4 (Germany: 2)

Most common languages
German, English, French

Speak two or more languages
98%
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 Frankfurt 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 Python rate benchmarks:
Explore rate insightsAverage rates of experts in Frankfurt using Python
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.
Python 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 (87%)
- Banking and Finance (63%)
- Professional Services (36%)
- Healthcare (30%)
- Automotive (29%)
- Education (29%)
- Transportation (29%)
- Government and Administration (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Python does
Python is a general-purpose programming language used for web services, automation, data processing, artificial intelligence and internal tools. Its clear syntax supports fast iteration, while a broad standard library and mature packages help teams move from a prototype to a maintainable production system. Python runs across cloud environments, servers, workstations and embedded workflows.
Web frameworks
Python web projects commonly use Django for structured, feature-rich applications and FastAPI or Flask for focused services and APIs. Strong specialists design routing, authentication, background jobs, validation and database access around the needs of the system. They also connect Python services with JavaScript front ends, message queues and external business systems.
Ecosystem and tooling
The Python ecosystem includes package management with pip and Poetry, environment isolation with venv and containers, and testing with pytest. Professionals work with SQL databases, Redis, Celery, Jupyter, NumPy, pandas and common cloud services. Quality work also includes type hints, linting, dependency control, documentation and automated delivery pipelines.
Common project work
- Build REST and asynchronous APIs for products and internal services
- Automate reporting, file processing and operational workflows
- Prepare data pipelines for analytics and machine learning
- Extend Django applications and integrate third-party systems
- Improve test coverage, runtime performance and deployment reliability
Python appears in finance, logistics, manufacturing, research and media. In Frankfurt, specialists may support local teams on site or collaborate remotely across Germany, depending on security needs and project routines.
When to bring in specialists
Companies often seek freelance expertise when a Python service must launch quickly, an existing codebase needs a safe transition, or internal teams lack capacity for a focused phase. Other signals include slow batch jobs, fragile integrations, unclear dependencies or notebooks that have not become reliable applications. A specialist can assess the system, define a practical path and deliver improvements without unnecessary rewrites.
What strong experts deliver
Effective Python professionals understand more than syntax. They clarify domain rules, choose suitable abstractions and make trade-offs visible. They write readable, tested code, protect secrets, handle failures and monitor services after release. They can explain decisions to technical and non-technical colleagues in English and, where useful, German, while leaving behind documentation that enables the team to continue confidently.
Frequently asked questions
Curious about Python? Here are the answers that come up again and again.
Python is used for web APIs, automation, data processing, scientific computing, machine learning and internal business tools. Its ecosystem lets specialists work across prototypes, integrations and production services without changing languages.
Python is often chosen for readable code, broad libraries and fast development, especially in data-heavy or automation projects. JavaScript can be a natural fit for browser-led systems, Java for large established enterprise environments, and Go for compact services where simple concurrency and low resource use are priorities.
Python work commonly requires SQL, HTTP, Git, testing and containerisation alongside the language itself. Depending on the project, useful adjacent skills include Django or FastAPI, cloud deployment, Linux, message queues, pandas and machine learning libraries.
Python experience should match the system’s risk and complexity rather than a fixed label. A small automation task may need a focused specialist, while a regulated service, high-volume data pipeline or legacy migration calls for someone who has handled production operations, security and long-term maintenance.
Python projects are well suited to remote collaboration through version control, issue tracking, reviews and automated tests. Frankfurt companies should agree on working hours, documentation and communication language early, especially when systems contain sensitive business data; some work may still require on-site access.
Python quality is visible in clear structure, meaningful tests, controlled dependencies and useful operational logging. Ask a specialist to explain trade-offs, failure handling and deployment, then review a small technical exercise or a representative code sample rather than relying only on a portfolio.
Python can support large production systems when the architecture, observability and deployment process are designed carefully. Strong professionals use suitable service boundaries, caching, queues, database practices and performance measurement instead of assuming that the language alone determines scale.
Python specialists should clarify the runtime environment, framework, repository state, deployment path, data sensitivity and definition of done. They should also ask whether the work involves a new service, legacy code, notebooks, automation or a migration, because each requires different delivery and review practices.
The average hourly rate of freelancers in Frankfurt, Germany who have used Python in their recent projects is 95 €, which corresponds to a daily rate of about 763 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Python in their recent projects, 93% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Python in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Frankfurt, Germany who have used Python in their recent projects are German (99%), English (98%), and French (12%).
The most common industries among freelancers in Frankfurt, Germany who have used Python in their recent projects are Information Technology (87%), Banking and Finance (63%), and Professional Services (36%).
The most common business areas among freelancers in Frankfurt, Germany who have used Python in their recent projects are Information Technology (96%), Product Development (75%), and Project Management (58%).
Main locations of FRATCH Experts, who have recently used Python
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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