Data Modeling Experts in Cologne
for reliable data products, matched in minutes with vetted freelance professionalsHire experts who design clear relational and dimensional models, define data architectures, and prepare schemas for analytics and operational systems. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Cologne, who have recently used Data Modeling
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
Markus B.
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 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
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.
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
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
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
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.
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
Abdelkader E.
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)
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.
Florian R.
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
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 18 years)
Position duration
1.8 years (Germany: 3 years)
Positions per freelancer
14 (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
95% (Germany: 92%)
Master's degree or higher
68% (Germany: 63%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
96% (Germany: 97%)
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 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 19 Sep 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 (65%)
- Banking and Finance (57%)
- Transportation (43%)
- Retail (43%)
- Education (39%)
- Manufacturing (39%)
- Automotive (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Modeling Covers
Data modeling defines how information is structured, connected, stored, and used. Specialists translate business concepts into conceptual, logical, and physical models for relational databases, warehouses, lakehouses, and operational data stores. Their work creates a shared foundation for reliable applications, reporting, and analytics.
Models for Real Systems
A sound model can support customer records, product catalogs, order flows, financial data, or complex industrial processes. Experts choose structures that balance clarity, integrity, query performance, and future change. They may design normalized schemas for transactions or dimensional models with facts and dimensions for reporting.
Methods and Tooling
The ecosystem includes SQL databases, cloud warehouses, data lakes, and modeling tools such as dbt, ER/Studio, and Hackolade. Strong specialists understand metadata, naming standards, keys, constraints, lineage, and governance. They can document decisions and connect models with ETL, ELT, APIs, and business intelligence tools.
When Companies Need Help
Freelance expertise is useful when data has grown across disconnected systems or a new platform must be designed without creating future rework. Typical assignments include:
- Consolidating schemas after mergers or system changes
- Designing warehouse and lakehouse models for analytics
- Mapping source data for migration and integration
- Reviewing models for quality, scalability, and compliance needs
Working with Cologne Teams
Companies in Cologne often need data structures that serve retail, logistics, media, manufacturing, healthcare, or financial operations. A freelance specialist can work remotely, on site, or in a hybrid setup with product, application, and data teams. Clear documentation and communication in English or German help decisions move smoothly across locations.
Signs of Strong Expertise
The right professional asks how data is created, governed, queried, and changed before proposing tables or tools. They explain trade-offs instead of applying one pattern everywhere, validate assumptions with stakeholders, and leave behind usable documentation. Look for practical evidence in migration plans, model reviews, data dictionaries, and production-ready designs.
Frequently asked questions
Questions about Data Modeling? Start with the answers below.
Data Modeling is used to describe entities, attributes, relationships, rules, and storage structures before data is implemented. It supports reliable applications, reporting, analytics, migrations, and integrations by giving teams a consistent view of their information.
Data Modeling focuses on representing business information and its relationships at conceptual, logical, and physical levels. Database design turns that model into a working database, including indexes, permissions, partitioning, and implementation details.
Data Modeling specialists choose based on the workload rather than preference. Normalized models suit transactional systems that need consistency, while dimensional models often make analytical queries and business reporting easier; many modern data environments use both.
Data Modeling work often connects with SQL, data warehousing, ETL or ELT, data governance, master data management, and cloud platforms. Experience with dbt, BI tools, metadata, lineage, and migration planning is valuable when the model must operate across a wider data environment.
Data Modeling projects do not require a fixed level of experience. A focused schema review may need a specialist who can assess a defined area, while an enterprise model or migration calls for someone who has handled multiple domains, conflicting requirements, and production constraints.
Data Modeling is well suited to remote collaboration because workshops, model reviews, and documentation can happen online. Cologne teams should agree on working language, meeting times, access controls, and ownership of decisions; on-site sessions can still help when stakeholders need intensive discovery.
Data Modeling quality is visible in clear definitions, sensible relationships, controlled duplication, suitable keys, and documented assumptions. Ask the specialist to explain how the model handles change, data quality issues, performance, security, and the queries users actually need.
Bring in a freelance Data Modeling specialist when teams disagree about definitions, systems cannot share data reliably, or a warehouse, lakehouse, or migration is being planned. External expertise can provide an independent review and a practical model without distracting the permanent team from delivery.
The average hourly rate of freelancers in Cologne, Germany who have used Data Modeling in their recent projects is 108 €, which corresponds to a daily rate of about 861 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Data Modeling in their recent projects, 95% hold at least a Bachelor's degree and 68% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Data Modeling in their recent projects have 17 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 (26%).
The most common industries among freelancers in Cologne, Germany who have used Data Modeling in their recent projects are Information Technology (83%), Professional Services (65%), and Banking and Finance (57%).
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 (70%).
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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FRATCH CEO
