Data Modeling Experts in Cologne
in minutes with vetted specialists and precise AI matching.Hire experts who shape ER models, dimensional models, and data warehouse structures, and who turn messy source data into clear, usable schemas. From analytics foundations to integration work, you get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Cologne, who have recently used Data Modeling
Henning Uiterwyk
Last position:
Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON
- Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
- Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
- Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
- Operationalization of the Data Governance Framework with definition of data standards
- Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
- Training and coaching the data team in migration, data quality, and data modeling
Markus Blohm
Last position:
Consultant, Technical Project Manager at Lanxess
- Project: ESU Windows and SQL Server consolidation / Configuration Management in ServiceNow
- Creation of an as-is analysis of all servers worldwide
- Creation of an as-is analysis of all SQL servers worldwide
- Creation of requirements analyses for SQL and server migrations
- Coordination of requirements with partners for migrations to Hyper-V (on-premises) or Azure Cloud
- Moderation of jour fixe meetings
- Creation of roadmaps and solution models for server migrations
- Setup of test scenarios
- Moderation of workshops for the introduction of a Global Admin Team
- Creation of data models (CMDB) in ServiceNow
- Conducting workshops for the CMDB data model
- Creation of solution models for the CMDB
- Creation of seamless configuration and work documentation for the CMDB
- Creation of reports for license management
- Creation of KPIs for data quality in ServiceNow
- Creation of a service catalog
- Moderation of workshops for creating service requests
- Interface between needs analysis and ServiceNow development team
- Systems used: Windows 7, Windows 10, Microsoft Office 365/2010, Windows Server 20xx, SQL Server 20xx, SharePoint, Azure Cloud, Hyper-V, ServiceNow, various tools
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
Beshr Alnirabieh
Last position:
System Administrator – HealthCare IT & Data Infrastructure at Cellitinnen Hospital Association
- Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
- Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
- Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
- Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
- Requirements management and test coordination when implementing clinical requirements in complex IT structures.
Rodion Orlinskiy
Last position:
Founder, CTO & Managing Director at MYNR Product Mining GmbH
- Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
- Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
- Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
- Developed graph-based representations of product structures and dependencies for analytical reasoning.
- Designed and implemented an agentic AI framework for AI-supported decision workflows.
- Built scalable analytical microservices and integrated reporting through modern BI technologies.
- Coordinated backend, AI, and frontend development across the MYNR platform stack.
Abdelkader El Moumane
Last position:
Lead Business Analyst (PIM)
- Further development and optimization of the PIM system (e.g. data modeling, interfaces, user experience)
- Analysis, structuring, and professional evaluation of business requirements in close coordination with business units and stakeholders
- Translating business requirements into functional and technical concepts (business & solution design)
- Designing and further developing the target PIM architecture including data models, object structures, versioning, and lifecycle concepts
- Defining interfaces, integration concepts, and data flows between PIM, eCommerce, ERP, and other systems
- Quality assurance in close collaboration with business units and the development team
- Effort estimations for analysis, design, and testing activities
- Agile, Scrum, 4APortal, SAP ERP, SAP eCommerce (Hybris)
Johannes Wagner
Last position:
Senior Data Engineer at Soorce GmbH
- Analysis of business requirements
- Integration of different data sources such as ERP systems, production systems, and external data sources
- Implementation of load processes and processing logic with MSSQL
- Data modeling and optimization of data models
- Setting up data quality management incl. data profiling with dynamic programming
- Support in designing and establishing data governance, especially in the areas of data quality management and data protection
- Support in developing BI solutions with Tableau to help decision-making processes
Maurice Knopp
Last position:
Solution Architect – Cloud-Native Transformation of IoT Monitoring Platform at NDA / Wind Energy Sector
- Led the end-to-end architecture and migration of a legacy on- premise IoT monitoring system to a cloud-native Azure platform within a 17-member development team
- Designed and implemented a scalable microservices architecture (Java 21, Spring Boot, Kubernetes, Azure Services), decoupling IoT data streams and eliminating legacy system bottlenecks
- Defined technology stack, mentored developers, and orchestrated cross-functional teams in 4 countries to ensure high-quality delivery and alignment with architectural standards
- Drove requirements engineering and system redesign, removing years of technical debt and introducing event-driven processing and automated workflows
- Key Achievements
- Increased system stability and uptime by ~10x, eliminating need for 24/7 DevOps intervention
- Reduced hosting costs by ~80% (5x savings) through cloud optimization
- Improved performance and scalability, enabling stable handling of high-volume IoT data streams
- Delivered successful zero-disruption migration from on-prem to cloud, with strong user satisfaction and reliability from day one
Alexander Rautzenberg
Last position:
Business Analyst at Financial Services Provider Landesbank
The Helaba ATLAS project aims to modernize core systems and make them future-proof. As part of the subproject, the existing legacy system for international payments is being replaced by a modern web-based application.
- Analysis of functional and technical requirements
- Analysis and optimization of business processes
- Process modeling
- Preparation and facilitation of workshops
- Defining project scope and prioritizing requirements
- Business process management (analysis, modeling, and optimization)
- Specification of user stories
- Designing business and authorization concepts
- Testing and acceptance
- Designing mockups in Figma
- Creating the UI/UX style guide for web applications Approach: Scrum (agile) Technologies: Jira, Confluence, MS Teams, Conceptboard, Java, Vaadin, Figma
Emmanouil Tzouridis
Last position:
Senior Analytics Engineer at Trade Republic Bank GmbH
- Implementation of analytics and automation solutions for the Anti Financial Crime business unit
- Providing the infrastructure, including reusable data models and feature ingestion for production ML and rule based models in the areas of Account Take-Over and Card fraud detection, as well as Customer Risk Assessment
- Tools used: Snowflake, dbt, Looker, AWS, Python, Airflow, Metaflow
Jens Hagemeyer-Lee
Last position:
#52 Test Manager in Safety-Critical Infrastructure at Telecommunications Company
- Network elements, network, operational and operator-related systems
- Supporting around 20 different products (managed agile)
- Requirements analysis and management (functional and non-functional)
- Test concept and planning (scope, test phases, effort, schedule, resources, organization, etc.)
- Aligning approach with clients and service providers
- Managing and assisting in creation of test cases for system, integration and end-to-end tests
- Guiding and supporting test execution
- Defect management and planning bug fixes with external providers
- Preparing and facilitating workshops
- Regular reporting and creating automated test reports
- Further development of agile testing methodology and configuration of supporting tools
- Conceptual support in developing a quality seal for rating product and service quality of internal and external providers
- Requirements engineering based on ISO/IEC 25010, Scrum, SaFE
- BMC Remedy, Atlassian Confluence, Atlassian Jira (including plugins Xray, Structure), Microsoft Office (incl. Visio), Obsidian, doxis document management system, Gitlab, Obsidian
Manuel Schneider
Last position:
Project Manager at Univention
Industry: digital sovereignty, public sector
Content:
- Project steering (teams: consulting, development, testing, deployment/operations)
Products and standards:
- Jira, Confluence, Asana, Miro, Mural
- Open Source, Keycloak, Open Xchange, ownCloud
Florian Rubel
Last position:
Senior Fullstack Developer at Ivii GmbH
- Two-month modernization of the management UI for AI-powered cameras
- Rewrote a complex React application to Vue 3 with single file components
- Set up the core architecture of the Vue application and configured Vite, Pinia, Router, I18n, ESLint, and Prettier
- Custom integration of Leaflet to display detection zones on images
- Assisted with backend extension and authentication adjustments
Peter Brungs
Last position:
Data Warehouse Consultant (Development and Analysis) at Atruvia AG
- Developed and enhanced ETL loading jobs with IBM DataStage and optimized SQL in an IBM DB2 environment as part of the Agree21 data migration
- Analyzed data quality and developed test procedures
- Created PowerShell scripts and documented GIT deployment processes
- Technologies: RedHat Linux, IBM DB2 with DBVisualizer, IBM InfoSphere DataStage 11.7, JIRA, TortoiseGIT, TortoiseSVN, PowerShell scripts
Jannik Jespers
Last position:
Freelance Salesforce Consultant & Developer at Self-employed
- Consulting and delivery of over 30 Salesforce projects (Sales Cloud, Service Cloud, Experience Cloud, Pardot, Marketing Cloud)
- Designing and setting up CRM architectures including requirements management, data modeling, and automation
- Implementing custom solutions (Apex, LWC, Flows, integrations)
- Developing interfaces with ERP, DMS, and email systems (SAP, Microsoft Dynamics, DocuWare, etc.)
- Introducing agile project methods (Scrum, Kanban) in client projects
- Coaching in-house Salesforce teams (admin and dev training)
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 19 years)
Position duration
1.8 years (Germany: 3 years)
Positions per freelancer
14 (Germany: 13)
Top business areas
Information Technology, Business Intelligence, Quality Assurance
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
94% (Germany: 92%)
Master's degree or higher
61% (Germany: 64%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
95% (Germany: 97%)
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 Cologne 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 Cologne using Data Modeling
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
Core purpose
Data modeling defines how data is structured, named, linked, and governed. Strong models help teams build reliable applications, reporting layers, and analytics stores without confusion between source systems, business rules, and downstream use.
Where it fits
- Operational systems and master data design
- Data warehouses and dimensional modeling
- Integration between ERP, CRM, and BI tools
- Normalization, keys, and relationship design
- Documentation for teams and stakeholders
Common methods
Professionals use conceptual, logical, and physical modeling to match business needs with real database structures. In practice, that often means ER modeling, star schemas, snowflake schemas, and careful mapping of attributes, constraints, and hierarchies.
Tools and ecosystem
Work often happens with SQL, ERwin Data Modeler, SAP PowerDesigner, dbt, and diagramming tools used by analysts and data teams. Good specialists can also work across PostgreSQL, SQL Server, Oracle, Snowflake, and Databricks when the model must fit a live stack.
When to bring in help
Companies usually look for freelance expertise when a system grows too fast, source systems do not agree, or reporting breaks because the model is unclear. In Cologne, this is common in commerce, logistics, manufacturing, and media teams that need clean handovers between local and remote specialists.
What strong experts deliver
Strong professionals ask about business terms before drawing tables. They produce models that support change, keep naming consistent, document assumptions, and align with developers, analysts, and data owners.
- clear entity and relationship design
- stable warehouse structures for BI
- migration support from old schemas
- data dictionaries and model documentation
- review notes for future changes
Frequently asked questions
Questions about Data Modeling? Start with the answers below.
Data modeling defines how information is organized so systems can store, join, and use it reliably. It supports application design, reporting, integration, and warehouse work by turning business rules into clear structures. Without it, teams often end up with duplicate fields, unclear relationships, and hard-to-maintain databases.
Data modeling is the broader discipline. ER modeling is one way to design entities and relationships for operational systems, while dimensional modeling is common in analytics and BI. Many projects need both approaches at different layers.
Data modeling help is useful when a new system is being designed, a legacy schema needs cleanup, or reporting data no longer matches business rules. It is also a good fit when internal teams know the source systems but need a specialist to shape the structure. Freelancers can step in for reviews, redesigns, or short delivery phases.
A strong Data modeling specialist usually brings solid SQL, database design, and a good grasp of business analysis. Knowledge of normalization, keys, constraints, schema migration, and warehouse design is common too. Communication matters, because the model has to reflect how the business actually works.
A simple reporting schema may only need a focused review, while a core platform or warehouse redesign needs deeper expertise. Data modeling work becomes more sensitive when many systems depend on the same tables or when migrations are involved. The more shared the data is, the more important careful design becomes.
Data modeling is about structure and meaning, not server operations or application logic. Database administration keeps the database running, and software design shapes the behavior of the product. A good model supports both, but it answers a different question: what the data should represent and how it should relate.
Yes, most Data modeling work can be done remotely if stakeholders share source systems, business rules, and example data. On-site sessions can still help at the start, especially for workshops with product owners or data stewards in Cologne. Many teams use a mixed setup for reviews and handover meetings.
Look for clear questions about business meaning, not just technical terms. A strong Data modeling freelancer explains trade-offs, documents assumptions, and can show how the design supports both current and future use. Good signs are clean naming, sensible keys, and models that are easy to review with non-technical stakeholders.
The average hourly rate of freelancers in Cologne, Germany who have used Data Modeling in their recent projects is 111 €, which corresponds to a daily rate of about 887 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Data Modeling in their recent projects, 94% hold at least a Bachelor's degree and 61% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Data Modeling in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Cologne, Germany who have used Data Modeling in their recent projects are German (100%), English (95%), and French (27%).
The most common industries among freelancers in Cologne, Germany who have used Data Modeling in their recent projects are Information Technology (82%), Professional Services (68%), and Banking and Finance (59%).
The most common business areas among freelancers in Cologne, Germany who have used Data Modeling in their recent projects are Information Technology (100%), Business Intelligence (86%), and Quality Assurance (73%).
Main locations of FRATCH Experts, who have recently used Data Modeling
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 
Frankfurt 
Dusseldorf 
Leipzig 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
