
Data Modeling Experts in Cologne
matched in minutes by AIHire experts who design clear data structures, map business entities and prepare schemas for analytics, applications and cloud platforms. FRATCH connects you with vetted, available freelancers whose skills match your scope, systems and delivery needs.
Meet FRATCH Experts in Cologne, who have recently used Data Modeling
Markus B.
Last position:
Consultant, Technical Project Manager at Lanxess
- Project: ESU Windows and SQL Server Consolidation / Configuration Management in ServiceNow
- Prepared an as-is analysis of all servers worldwide
- Prepared an as-is analysis of all SQL servers worldwide
- Conducted requirements analyses for SQL and server migrations
- Coordinated requirements with partners for migrations to Hyper-V (on-premises) or Azure Cloud
- Facilitated regular status meetings (Jour Fixe)
- Developed roadmaps and solution models for server migrations
- Set up test scenarios
- Facilitated workshops for the rollout of a global admin team
- Designed data models (CMDB) in ServiceNow
- Led workshops for the CMDB data model
- Developed solution models for the CMDB
- Created end-to-end configuration documentation and work instructions for the CMDB
- Prepared reports for license management
- Defined KPIs for data quality in ServiceNow
- Created a service catalog
- Facilitated workshops to define service requests
- Acted as interface between requirements analysis and the 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
Henning U.
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
Alexander B.
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
Maurice K.
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
Manuel S.
Last position:
Project Manager at Univention
Industry: digital sovereignty, public sector
Responsibilities:
- Project coordination (teams: consulting, development, testing, deployment/operations)
Products and standards:
- Jira, Confluence, Asana, Miro, Mural
- Open Source, Keycloak, Open Xchange, ownCloud
Johannes W.
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
Andreas K.
Last position:
Backend Developer at Univention GmbH
- Developed a SCIM-compliant Python interface to connect external systems
- Expanded and enhanced UCS modules in Python
- Extended and newly developed Helm charts for container orchestration in Kubernetes
- Maintained and further developed CI/CD pipelines in GitLab
- Implemented automated tests with Pytest and Playwright
'Nubus' is based on a microservice architecture, relies on open source technologies, and runs in Docker containers.
UCS is an IAM complete solution based on Debian, used as an alternative to Microsoft's Active Directory. The work was characterized by the close integration of infrastructure and application logic.
Jannik J.
Last position:
Freelance Salesforce Consultant & Developer at Self-employed
- Consulted on and delivered over 30 Salesforce projects (Sales Cloud, Service Cloud, Experience Cloud, Pardot, Marketing Cloud)
- Designed and built CRM architectures, including requirements management, data modeling, and automation
- Implemented custom solutions (Apex, LWC, Flows, integrations)
- Developed interfaces with ERP, DMS, and email systems (SAP, Microsoft Dynamics, DocuWare, among others)
- Introduced agile project methods (Scrum, Kanban) in customer projects
- Coached internal Salesforce teams (admin and developer training)
Alexander R.
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 T.
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
Beshr A.
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 O.
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.
Thomas R.
Last position:
Power BI Consultant
Focus:
Consulting in reporting and project management for Power BI
Goal:
Creation of IT application dashboards for business areas
Activities:
- Technical consulting and support in managing and coordinating an existing reporting setup
- Structured collection, analysis, and preparation of business reporting requirements
- Technical coordination with defined internal contacts
- Design and optimization of Power BI reports to improve data analysis
- Development of concepts and recommendations for the further development of an efficient and transparent reporting system
- Support in the user-friendly visualization of relevant company KPIs as a basis for decision-making
Tools/Skills: MS-PowerBI, DAX, MS-Office 365, PowerQuery M, BCS
Michael W.
Last position:
Founder & Salesforce Consultant at MW Cloud Solutions (MWCS)
- End-to-end implementations of Marketing Cloud Next (Growth/Advanced), from discovery workshop to go-live — Data 360 (Data Cloud) setup, data streams and mapping, identity resolution rules (match & reconciliation), consent management, Sales Cloud integration.
- Campaign orchestration across the MCN flow types — segment-, event-(forms & engagement), schedule- and record-triggered flows (Salesforce & Data Cloud) plus API-based on-demand sends; segmentation and activation with Data Graphs, Calculated Insights, and Einstein personalization.
- Multilingual email template systems with dynamic, personalized content; deliverability (SPF/DKIM/DMARC) and GDPR-compliant double opt-in journeys.
- Operational support for Marketing Cloud Next orgs in ongoing consulting projects — campaign operations, data quality, performance analysis, and release readiness: campaigns deliver on schedule, credit costs stay predictable.
- At the same time, Account Engagement (Pardot) client projects — audits, implementations, lead scoring & grading; AE-MCN migration assessments; Agentforce grounding and guardrails.
Jens H.
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
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 18 years)

Position duration
1.8 years (Germany: 3 years)

Positions per freelancer
15 (Germany: 12)

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
90% (Germany: 92%)
Master's degree or higher
65% (Germany: 63%)

Certifications per freelancer
4 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
96% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Cologne are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Modeling 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 (83%)
- Professional Services (67%)
- Banking and Finance (54%)
- Transportation (46%)
- Retail (46%)
- Education (42%)
- Manufacturing (42%)
- Healthcare (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data foundations
Data modeling defines how information is structured, related and governed inside a system. Experts translate business concepts into entities, attributes, relationships and rules that teams can implement consistently. The work supports transactional applications, reporting environments, data warehouses, data lakes and integration layers.
Modeling approaches
Professionals choose a modeling approach that fits the purpose and delivery stage. Conceptual models clarify business meaning, logical models refine relationships and constraints, and physical models account for storage, indexing and performance. Entity-relationship modeling is common for relational systems, while dimensional modeling supports analytical workloads.
Ecosystem and tools
Data modeling connects closely with SQL, relational databases and cloud data services. Strong specialists may work with PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery or Databricks, along with schema repositories, diagramming tools and version-controlled migration workflows. They also understand normalization, denormalization, metadata and data lineage.
Typical project work
- Define entities, relationships, keys and business rules
- Create logical and physical schemas for new systems
- Refine warehouse models for reporting and analytics
- Map source data into shared models and integration contracts
- Document schemas, ownership, lineage and change impact
When specialists help
Companies bring in freelance expertise when a new product needs a stable schema, legacy data has become difficult to use, or reporting teams disagree on core definitions. Cologne companies can work with specialists on-site, remotely or in a blended setup. Clear documentation and disciplined communication help distributed teams align across German and international operations.
What strong experts deliver
Effective professionals connect technical structure with real business processes. They ask precise questions about ownership, access, quality, volume and change before choosing a model. They validate assumptions with stakeholders, test representative queries, explain trade-offs clearly and leave behind maintainable documentation that other teams can use.
Frequently asked questions
Questions about Data Modeling? Start with the answers below.
Data Modeling is used to describe how information is organized, connected and governed in an application or analytical environment. It helps teams define consistent entities, relationships, keys and rules before implementation, reducing ambiguity across databases, integrations and reports.
Data Modeling covers the meaning and structure of information before and beyond individual tables. Table design is part of the physical implementation, while modeling also addresses business concepts, relationships, ownership, normalization and how the structure serves operational or analytical needs.
A strong Data Modeling specialist often works comfortably with SQL, relational database design, dimensional modeling and data warehousing. Experience with data integration, metadata, lineage, cloud storage, governance and migration planning is also valuable when the model spans several systems.
The right Data Modeling experience depends on the system’s scope, data complexity and level of change. A focused schema review may need a specialist who can analyze an existing model, while a broad platform redesign calls for someone who has led modeling across business domains and implementation teams.
Data Modeling is well suited to remote collaboration because diagrams, schemas, documentation and review sessions can be shared online. On-site workshops in Cologne can still help when domain experts need to resolve conflicting definitions or agree on ownership and governance.
Entity-relationship modeling is useful when a team needs to clarify entities, relationships and business rules for a relational system. It works well during discovery and logical design, while dimensional modeling may be more appropriate for analytical reporting and warehouse workloads.
A capable Data Modeling expert explains trade-offs in plain language and connects every structural choice to a business or technical need. Ask to review examples of schema documentation, change-impact analysis and validation methods, then test whether the specialist asks about data ownership, quality and future use.
Before beginning, a Data Modeling freelancer should clarify the source systems, target workloads, business definitions, constraints and decision-makers. It is also important to agree on deliverables such as conceptual diagrams, logical schemas, physical definitions, documentation and a process for reviewing future changes.
The average hourly rate of freelancers in Cologne, Germany who have used Data Modeling in their recent projects is 107 €, which corresponds to a daily rate of about 853 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Data Modeling in their recent projects, 90% hold at least a Bachelor's degree and 65% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Data Modeling in their recent projects have 19 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 (96%), and French (25%).
The most common industries among freelancers in Cologne, Germany who have used Data Modeling in their recent projects are Information Technology (83%), Professional Services (67%), and Banking and Finance (54%).
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 (83%), and Quality Assurance (71%).
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.
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Frankfurt
Dusseldorf
Leipzig
Essen
Nuremberg