KNIME Experts in Germany
for data workflows, automation and analytics, matched with vetted freelancers in minutesHire experts who design KNIME Analytics Platform workflows, connect enterprise data sources and automate repeatable reporting and machine learning processes. FRATCH finds precise matches with vetted, available freelancers for remote or on-site work in Germany.
Meet FRATCH Experts in Germany, who have recently used KNIME
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Philipp G.
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Volker H.
Last position:
Data Analyst at Optaro GmbH
Creation of workflows for generating the data basis for the article import of a web shop: combining data from several sources, analyzing the requirements, designing the process with Jupyter Notebooks and Knime. Also creating code for automation in Python using Polars and Pandas.
Processing the source data, filtering and merging the source files and creating the needed intermediate products, creating the upload files, plausibility checks, quality checks.
Technologies used: PyCharm, Python, Jupyter Notebooks, SQL, Knime. Pandas, Polars
Michael K.
Last position:
Enterprise Architect, Lead Architect of the transformation program and coach at Swiss Ministry
- Development of the overall architecture
- Support for the respective workstreams in developing architectures in the areas of infrastructure, data centers, security, and network topology
- Management of the architect pool
- Support for program management in setting up the transformation project based on agile methods
- Consideration of regulatory requirements for IT projects in the federal administration
Shanna T.
Last position:
Problem Resolution Manager at CARIAD SE (VW AG), formerly CARMEQ GmbH (VW AG)
- Automotive SPICE®: all assessments fully achieved
- Agile transformation: V-model → SAFe successfully implemented
- Series release: on-time, quality-assured software delivery for key Volkswagen Group models (including ECE homologation)
- Stakeholder management: internal & external
- Process optimization: implemented a continuous improvement process (CIP) with a tracking system
Marc M.
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Anastassiya S.
Last position:
Management Consulting (Internship) at ALLORD KFT
Support with organizational and analytical tasks. Worked in the team on project tasks.
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.
Michael S.
Last position:
Application Operations at Hausbank
- Configuration and expansion of monitoring
- Setup of a monitoring test instance and inclusion of Windows and Linux servers
- Creation of documentation for the checkmk environment
- Handover to operations
- Administration, installation, documentation
- IT environment: Windows Server 2019, Ubuntu Server, Checkmk
Michael D.
Last position:
Sole Proprietor at Unternehmens- und Managementberatung Michael Dobmeier
- Advising and technical implementation of AI integration and workflow automation for small and mid-sized businesses
- Building a multi-tenant AI agent platform as a product base
- Combining strategic consulting, technical implementation, and team enablement
Project examples:
- Development and architecture of the SOLUMiDO Agent-UI platform for integrating digital colleagues into business processes (Next.js, TypeScript, PostgreSQL, Keycloak)
- Development of the ToolChange Assistant: a multilingual, voice-controlled AI agent for optimizing setup times and reducing errors
- Implementation of an AI email assistant for intelligent email classification and processing with Microsoft 365 integration
- AI video marketing integration (STORYNEXT) for mid-sized companies, including AI-assisted briefing and performance analysis
- Social media content automation with AI text creation, approval workflow, and automatic publishing
- Business process analysis and digital solutions implementation for facility management service providers
- Digital consulting and web presence development for associations in rural areas
Gernot L.
Last position:
Founder and Managing Director at Softwerk/Ruhr GmbH
- Architecting and developing SaaS platform for graphical definition and execution of pandas data processing pipelines
- Developed POlyglott, an open-source Python CLI tool for translation workflow management featuring PO file parsing, quality linting with glossary enforcement, and DeepL API integration for machine translation
- Developed web application for material compliance management (EU REACH) using Django and modern web technologies
- Built automated infrastructure platform using Proxmox, Terraform, and Ansible — VM provisioning, configuration management, internal DNS, and fleet-wide security hardening across multiple subnets
Friederike B.
Last position:
Independent Consultant and Trainer at Friederike Bohm Consulting
- Consulting on lean, logistics, AI applications and process optimization
- Customized concepts for digitalization, change & transformation
- Adaptive training and workshops for professionals and managers
Jeanne Y.
Last position:
Process Engineering Intern at Procter & Gamble
- Independently initiated and deployed automated validation workflows using Python, cutting manual processing by 58% and improving efficiency
- Developed a machine learning model for synthetic defect generation, reducing downtime and production costs; deployed locally and via Databricks and Azure AI Factory
- Utilized a small dataset of image data from the production lines and extended this dataset with training on models like cycleGAN and pix2pix
- Built and optimized the Linux-based development environment for training 3D models; maintained reproducibility via GitHub
- Presented technical insights to cross-functional teams (engineers, QA, project managers), ensuring alignment of ML solutions with operational needs
Martin R.
Last position:
Interim Mandate: Global R&D Controlling / Project Controlling at Klüber Lubrication München GmbH
- Further development of the company-wide BI/data warehouse system for the global R&D area
- Implementation of global standards for R&D controlling
- Building and maintaining an R&D-related management information and KPI system
- Ensuring profitability in product development, including the target costing approach
- Ensuring continuous project controlling (budget, deadlines, progress)
- Preparing the planning
- Preparing analyses and comments as part of group reporting (monthly, quarterly, and annual closing)
Discover over 15,000 top freelancers
Statistics of experts using KNIME
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.3 years
Positions per freelancer
11
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
75%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
93%
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 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 KNIME
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.
KNIME 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 (70%)
- Manufacturing (63%)
- Automotive (60%)
- Banking and Finance (47%)
- Healthcare (40%)
- Professional Services (40%)
- Education (37%)
- Transportation (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
KNIME at a glance
KNIME Analytics Platform is a visual environment for creating data science, reporting and automation workflows. Professionals connect data, transform it, analyze results and document each step through reusable nodes instead of writing every process from scratch. KNIME supports both exploratory work and controlled production pipelines.
Typical applications
KNIME appears wherever teams need repeatable data preparation and transparent analysis:
- Combining data from databases, files, APIs and business systems
- Cleaning, joining and enriching records for analysis
- Building predictive models and evaluating their results
- Automating recurring reports and operational workflows
- Creating data quality and validation processes
Ecosystem and tooling
Strong KNIME specialists work with the KNIME Analytics Platform, KNIME Business Hub and connected services such as databases, cloud storage and REST APIs. They may also use Python, R, SQL, JavaScript or Java nodes when visual workflows need custom logic. Familiarity with pandas, scikit-learn, Spark or common business intelligence tools can extend what a workflow delivers.
When companies need expertise
Companies often bring in freelance KNIME expertise when manual spreadsheet work has become difficult to control, data sources do not align or an analytics team needs a reliable handover. A specialist can assess an existing workflow, establish naming and testing standards, improve performance and prepare processes for scheduled execution. In Germany, remote collaboration is common, while workshops may still benefit from on-site sessions and German-language communication.
What strong professionals deliver
A capable KNIME professional starts with the business question and traces it back to reliable inputs, clear transformations and useful outputs. They create modular workflows, handle missing and inconsistent data, document assumptions and separate experimentation from production logic. They also understand permissions, credentials, scheduling, version control and the operational ownership required after delivery.
Selecting the right specialist
Look for work samples that show more than attractive node layouts. Ask how the professional handles data lineage, errors, testing, large datasets and changes in source systems. Relevant experience with your databases, cloud environment and reporting needs matters, as does the ability to explain a workflow to analysts and business stakeholders. A short technical review can reveal whether the proposed design is maintainable.
Frequently asked questions
The facts hiring teams ask for most often when it comes to KNIME.
KNIME is used to build visual workflows for data preparation, analytics, reporting and automation. Companies use it to combine sources, clean records, train models, generate outputs and make recurring processes easier to operate.
KNIME Analytics Platform provides a visual, documented workflow layer, while Python and R offer more direct programming control. Many projects use them together: KNIME manages orchestration and transparency, and Python or R nodes handle specialized analysis.
A strong KNIME freelancer often brings SQL, data modeling, statistics and experience with APIs or cloud storage. Python, R, database administration, business intelligence and machine learning can also be valuable, depending on the workflow’s purpose.
The required depth depends on the work. KNIME projects involving simple preparation may need workflow design and SQL knowledge, while production automation, model deployment or complex integrations call for proven experience with testing, scheduling, credentials and operational support.
Yes, KNIME workflows can usually be designed, reviewed and documented remotely when data access and environments are available. On-site workshops in Germany can help with process discovery, stakeholder alignment or systems that cannot be accessed outside the company network.
Ask a KNIME specialist to explain a comparable workflow, including data quality checks, error handling and handover. Review how clearly they document dependencies and how they would test the process when source data or business rules change.
KNIME Analytics Platform supports data preparation, feature engineering, model training, validation and comparison through dedicated nodes. Professionals can extend these workflows with Python, R or specialized integrations when the built-in options are not enough.
KNIME can support enterprise workflows when teams apply suitable controls for access, credentials, scheduling, documentation and version management. The right setup depends on the organization’s data landscape, governance requirements and use of KNIME Business Hub or connected infrastructure.
The average hourly rate of freelancers in Germany who have used KNIME in their recent projects is 94 €, which corresponds to a daily rate of about 752 € based on an 8-hour working day.
Of the freelancers in Germany who have used KNIME in their recent projects, 100% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Germany who have used KNIME in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used KNIME in their recent projects are German (100%), English (93%), and French (20%).
The most common industries among freelancers in Germany who have used KNIME in their recent projects are Information Technology (70%), Manufacturing (63%), and Automotive (60%).
The most common business areas among freelancers in Germany who have used KNIME in their recent projects are Business Intelligence (90%), Information Technology (83%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used KNIME
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
