
R Expert in Frankfurt
in minutes with precise AI matching and vetted, available freelancersHire experts who turn complex data into reliable analysis, interactive Shiny applications and clear R Markdown reports. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical and project needs.
Meet FRATCH Experts in Frankfurt, who have recently used R
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.
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Eric B.
Last position:
Quality Assurance Lead (QSV) at Federal Employment Agency
Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.
Set the fundamental guidelines using the QA handbook
Summarized test results in QA reports for PLA
Analyzed project outcomes for improvement opportunities
Quality management of requirements analysis (especially processes, methods and tools)
Ensured compliance with SERA guidelines
Created a cross-project test concept
Agreed on sprint completion reports
Conducted formal reviews of deliverables according to guidelines and/or project plan
Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Zahra D.
Last position:
Data and Process Analyst in Healthcare at Ministry of Health and Medical Education
- Optimized the patient journey through big data analysis and cross-functional collaboration
- Regionalized NICU centers with 86% coverage using mathematical models
- Developed patient flow and geoprocessing models with Python and ArcGIS, resulting in an 18% increase in efficiency
- Built simulation models to optimize bed utilization and reduce waiting times with Rockwell Arena
- Developed analytical dashboards in collaboration with clinical experts
- Implemented machine learning algorithms for birth predictions and cross-functional prescription analyses
Judith B.
Last position:
BI & Analytics Consulting
- Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
- Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
- Continuous development and optimization of reporting structures with a focus on scalability and data quality
- Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present findings and align on optimization measures
- Designing and managing end-to-end data flows from data collection to visualization
- Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery
Kabir K.
Last position:
AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm
- Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
- Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
- Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.
Alexey L.
Last position:
Frontend Styler at Finanz Informatik
- Implementation of business transaction layouts for the online banking UI in compliance with BITV (accessibility)
- Technologies: JavaScript, jQuery, LESS
Daniel H.
Last position:
Business Analyst, MiFID II Consultant at Deutsche Bank AG
- Sub-project manager and business analyst for MiFID II cost transparency
- Creating technical specifications to connect existing applications to a new MiFID II platform
- Modeling new processes in BPMN for business units
- Preparing decision templates for the steering committee
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Abdullah A.
Last position:
Technical Program Manager - IT & Corporate Social Responsibility (CSR) at Maxon Computer GmbH (a Nemetschek Company)
Led cross-functional compliance and IT programs spanning infrastructure, security, legal, and executive stakeholders, ensuring audit readiness and regulatory alignment.
Acted as single point of ownership for IT governance and CSR programs, defining scope, milestones, risks, and success metrics.
Partnered directly with VP of IT as a governance and control counterpart, supporting security incidents, compliance posture (ISO 27001, GDPR, SOC 2), and executive reporting.
Supported organizational readiness for emerging EU regulations, including the EU Cyber Resilience Act (CRA) and EU AI Act, by analyzing regulatory requirements, identifying governance and compliance impacts, and aligning internal policies and control processes.
Designed and scaled data collection and reporting processes for CSR and regulatory reporting across group and subsidiary level.
Drove process improvements and standardization, increasing transparency, predictability, and audit readiness.
Technologies and tools: Office 365 Power BI, MS SharePoint, MS Word, MS Excel, MS Teams, Zendesk, Confluence, JIRA, Vanta.
Yevgeniy Ö.
Last position:
Tester, Test & Data Analyst at NORD/LB
- Analyze system requirements and mapping concepts (ETL requirements) for data flows and transformation logic in the bank's DWH
- Analyze data in DB tables and views of the DWH using SQL (DB2)
- Independently define, create, and execute test cases in JIRA Xray (SIT)
- Write SQL queries in DB2 to verify data scenarios and mappings
- Create test plans for SAP FSDP and concurrent projects
- Conduct error and root cause analyses in coordination with business analysts, developers, test managers, and the infrastructure team
- Thoroughly document test results in JIRA Xray
- Coordinate between business analysis, development, DB infrastructure, business units, and external vendors
Petru K.
Last position:
Architect & Technical Team Lead & Senior Developer at Goetel GmbH
- Design, architecture & development/programming of ETL/ELT data pipelines, DWH, BI solution
- Technical project lead, POC – proof-of-concept creation
- Liaison between business units and technical teams
- Azure DevOps Boards & Jira
- Data modeling & data engineering – data warehouse & data mart
- Azure (Data Factory, Azure SQL, Azure DevOps CI/CD, Azure Data Lake V2, Business Central REST API, OData API, OAuth2 tokens)
- SharePoint lists & API for ADF, Firebird DB, Postgres DB, DB2
- Power BI (Power Query), DAX, Excel PBI add-on, GIS data
- Automated ETL process monitoring/logging, performance monitoring, error monitoring – capturing & resolution
- Index performance tuning & statistics monitoring, Transact-SQL
- Data security – MFA (multi-factor authentication) & OAuth2, MS Graph, Azure networks & firewalls, gateways, roles, user groups – with read/write permissions
- Sources – Vario Bill, Camunda, Radius, Geo Database, OTRS, PAST, MS Dynamics Business Central, Azure Blob Data Lake, SharePoint lists
Ralitsa P.
Last position:
Process, Project and Requirements Manager, Client Project @ RUBINLAKE at 1&1 Versatel GmbH
- Introduction of a new workflow tool for fibre connectivity & broadband delivery
- Requirements design, estimation and prioritization
- Creation of rollout and project plans
- Managing the development team using Scrum
- Design and project management of the API interface to existing tools
- Process modeling for the new order dispatching teams (FCD & BD)
- Designing processes inside and outside the team
- Requirements design and implementation of necessary tools
- Creation and calculation of production KPIs
Rashid I.
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 13 years)

Position duration
1.9 years (Germany: 2.7 years)

Positions per freelancer
14 (Germany: 9)

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Banking and Finance, Information Technology, Automotive

Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 99%)
Master's degree or higher
63% (Germany: 83%)
Doctorate
13% (Germany: 25%)

Certifications per freelancer
5 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
100%
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.
Average rates of experts in Frankfurt using R
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.
R experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (81%)
- Information Technology (63%)
- Automotive (50%)
- Energy (44%)
- Retail (44%)
- Telecommunication (44%)
- Healthcare (38%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
R for data work
R is an open-source language and environment for statistical computing, data analysis and visualization. Companies use it to explore large datasets, test hypotheses, build predictive models and communicate findings. Its strong support for reproducible research makes analysis easier to review and maintain.
Core ecosystem
The R ecosystem includes CRAN packages and the widely used tidyverse, with tools such as dplyr, tidyr, readr and ggplot2. Specialists also work with data.table, caret, tidymodels, Bioconductor and APIs for databases or cloud services. RStudio, now Posit Workbench, supports development, debugging and collaboration.
What experts deliver
- Clean and transform data from files, databases and external APIs
- Create statistical models, forecasts and experiment analyses
- Build dashboards and internal tools with Shiny
- Produce reproducible reports with R Markdown or Quarto
- Design publication-ready visualizations with ggplot2
R professionals can connect these deliverables to existing data platforms, notebooks and reporting workflows. They also help teams turn exploratory scripts into maintainable analytical products.
When freelance support helps
Companies often bring in freelance R expertise when an analytics team needs additional capacity, a model must move into production or a reporting process is being rebuilt. Frankfurt organizations in finance, healthcare, research, logistics and business services may need specialists who understand both the data and the operational setting. Remote collaboration works well when data access, documentation and review processes are prepared.
Skills beyond R
Strong professionals combine R with probability, statistical testing, machine learning and data storytelling. Depending on the assignment, they may also use SQL, Python, Git, Docker, cloud services and CI workflows. Experience with data privacy, access controls and performance matters when analysis becomes part of a business process.
Choosing a strong specialist
Look for clear examples of analyses, models, dashboards or reports similar to the planned work. A capable R specialist explains assumptions, validates results and separates exploratory code from production logic. They use version control, tests and documentation, and can communicate limitations without hiding uncertainty. For Frankfurt-based teams, language and availability should also match the collaboration model.
Frequently asked questions
Key details about R, drawn from the questions we get asked most.
R is used for statistical analysis, forecasting, data visualization, experimentation and machine learning. It also supports interactive Shiny applications and reproducible reports that help teams make evidence-based decisions.
R is especially strong for statistics, visualization and research-oriented analysis, with a broad package ecosystem for specialized methods. Python may be preferred for general software development and machine learning operations, so the right choice depends on the existing stack, delivery target and team skills.
R specialists often work with SQL, Git, Docker, cloud data services and CI pipelines. Statistical modeling, data governance and clear communication are equally important when analysis informs operational or regulated decisions.
R project needs vary with the data quality, modeling complexity and production expectations. A simple analysis may need focused analytical support, while a Shiny application or validated forecasting workflow calls for broader software, testing and documentation skills.
R projects are often suitable for remote collaboration because code, reports and review processes can be shared digitally. Frankfurt teams should define secure data access, meeting routines, documentation standards and whether German-language communication is needed.
R with Shiny is a good fit when users need an interactive internal dashboard, scenario tool or analytical interface without a separate front-end stack. A specialist should still assess authentication, performance, deployment and maintenance before recommending it.
R work should be reproducible, tested and understandable to another professional. Review the data preparation, model assumptions, validation approach, visual clarity and documentation rather than judging the result only by its appearance.
R specialists working with Frankfurt companies may support finance, healthcare, research, logistics or commercial analytics teams. They should clarify data residency and access rules, align with local working hours when needed and be ready to explain statistical results to non-specialist stakeholders.
The average hourly rate of freelancers in Frankfurt, Germany who have used R 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 Frankfurt, Germany who have used R in their recent projects, 100% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used R in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Frankfurt, Germany who have used R in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Frankfurt, Germany who have used R in their recent projects are Banking and Finance (81%), Information Technology (63%), and Automotive (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used R in their recent projects are Information Technology (94%), Business Intelligence (81%), and Product Development (81%).
Main locations of FRATCH Experts, who have recently used R
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.
Countries:
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