Data Modeling Expert in Dusseldorf
for clear, reliable data structures, matched in minutesHire experts who turn business requirements into conceptual, logical and physical data models, including dimensional schemas for analytics and robust database design. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Dusseldorf, who have recently used Data Modeling
Elif A.
Last position:
Business Analyst Professional at HES
- Requirements Engineering
- Process optimization and introduction of collaborative working models
- Process modeling with BPMN
- Analysis, specification, and documentation of logistics processes, IT systems, and data models
- Development of conceptual solutions
- Use case creation and documentation
- Data analysis with SQL
- Administration of Jira & Confluence
Adrian K.
Last position:
Senior Advisor, Process Governance & Transformation at MOIA GmbH
- Ran a group-wide steering committee to set strategic direction for a turnaround program. Planned delivery to secure go-to-market and investor milestones
- Prepared the project structure and supplier management process for an ACQ.4 Automotive SPICE audit. Built dry runs and compiled evidence with the team, resulting in a successful CL2 assessment
- Synchronized Automotive SPICE activities with the organization's SAFe rollout by screening base practices and agile artifacts for overlap. Avoided approximately 30% duplicate effort
Songül D.
Last position:
Freelance SAP BW Consultant at DKV Mobility Services
- Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
- Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
- Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
- Integrated SAP and non-SAP data sources (including MS Dynamics)
- Improved reporting transparency through consolidated data models
- Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance
Boris S.
Last position:
Generalist expert for software development at Mercor
- Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Ehsan M.
Last position:
BI Developer at Telecommunications Infrastructure
- Gathered and analyzed requirements in close collaboration with business departments to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Conducted detailed error analyses and optimized existing semantic and data models to ensure a robust data architecture and high data quality and to improve PowerBI reporting.
- Developed and implemented scalable ETL processes for data preparation and integration.
- Built a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and key performance indicators.
Olga M.
Last position:
Migration of the existing DWH from MS SQL Server to Azure Databricks at Oraylis GmbH
- Led the migration of the existing DWH, including HR data, application processes, project business and time tracking, from an MS SQL Server environment to Azure Databricks
- Refactored existing data models and ETL processes and extended them with new objects and functionalities
- Used Azure Databricks (Unity Catalog, Notebooks, Spark SQL, Databricks Dataflows) and Power BI
- Technologies: MS SQL Server 2019 (SSMS, SSIS), Power BI, Delta Lake, Azure Databricks
Ludo P.
Last position:
Senior Consultant at Insurance
- DWH modernization
- Migration from Informatica PowerCenter to IDMC/CDI
- Migration from IBM DB2 to Databricks
Technologies: Informatica IDMC, Databricks
Andreas G.
Last position:
Senior Fullstack .NET (Core) & Angular Developer at IT Service Provider
- Supporting several agile teams in the new product development of an enterprise CRM and ERP application
- Web frontend development with Angular 17–21 (microfrontends, Domain-Driven Design, MDB-Bootstrap)
- Backend development with C# and .NET 7–10, MongoDB, MassTransit, RabbitMQ, Entity Framework Core, ElasticSearch (microservices, DDD)
- Technical feature design for assigned tasks
- Technical architecture design including forward-looking planning of AI-supported extension options
- Proof-of-concept implementation of AI-supported workflows with n8n and a locally hosted LLM (Ollama)
- Coordination with stakeholders and Product Owners, support with sprint planning
Result: Delivery of production-ready microservices and frontend modules in agile sprint cycles.
Environment: .NET 7–10 · Angular 17–21 · C# · TypeScript · OpenAPI · Microfrontends · DDD · Kubernetes · Docker · Helm · MS SQL Server · PostgreSQL · MongoDB · MassTransit · RabbitMQ · EF Core · ElasticSearch · Kibana · Azure DevOps · KeyCloak · n8n · Ollama
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
Dalia C.
Last position:
Oracle Developer at Freelance
- Design and implementation of an OCI-based DWH and ETL system to replace legacy mainframe applications
- Development of a database optimization strategy and planning the rapid conversion of JCL and COBOL routines to PL/SQL with the help of AI
- Development of an Oracle Apex-based app for internal administrative processes in the public sector (office equipment, employee training)
- Implementation of PL/SQL workflows for approval processes and creation of a responsive mobile version with JavaScript and CSS
- Use of Azure DevOps for backlog and documentation, as well as Git for version control
- Development of REST interfaces for CRM systems
- Replacement and reprogramming of Oracle Forms screens with Oracle Apex and upgrading to the latest Apex versions
- Design of a Git branching strategy and conducting code reviews
- Maintenance and further development of an EDI-based data exchange system based on Oracle Advanced Queuing for the public sector in Austria
- Data analysis and creation of charts in the Oracle Apex frontend; installation of standalone ORDS and Apex 23.1
- Agile working according to the Spotify Model; development of complex Apex screens with the support of Oracle JET
- New development and customization of existing PL/SQL packages, workarounds for database version differences and query optimization
- Development of Apex applications for broker pools to manage and optimize Oracle databases in the banking sector, including SSO-based authorization systems with OAuth2 and Keycloak
- Development of extensive Oracle Apex applications for BI and data mining modernization projects, as well as development of manual and automated projection methods in the frontend
- Implementation of data warehousing projects in the banking sector and use of Scrum and Kanban in team-oriented projects
Akash B.
Last position:
SAP BW/4HANA & SAC Lead at Nagarro
- Led the design, implementation, and optimisation of SAP Analytics Cloud (SAC) dashboards, stories, and reports for business users.
- Worked closely with business stakeholders to gather and analyse reporting requirements, translating them into technical designs.
- Integrated SAC with SAP BW/4HANA, SAP S/4HANA, SAP HANA Views, and external data sources.
- Developed SAC Planning models and supported planning processes, including input forms, allocations, forecasts, and simulations.
- Configured live and import connections to SAP and non-SAP data sources.
- Conducted performance tuning, security setup, and ensured data accuracy in SAC environments.
- Provided training, documentation, and best practices for SAC adoption across the organization.
- Led incident management, change requests, and enhancements in SAC landscapes.
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)
Johann M.
Last position:
Project Manager at Staffing services provider with a focus on Finance & Controlling
- Building a central data model to consolidate data from CRM (ATS), online marketing, HR, and finance
- Integration of various data sources (including Sistrix, eTracker, HR Works, finance systems)
- Creation of a unified data basis for reporting and management
- Design and setup of the data structure
- Business analysis and definition of KPIs
- Coordination of data integration and alignment with business departments
- Consolidation and normalization of heterogeneous data sources
- Building an initial prototype in Excel
- Further development and implementation in Microsoft Power BI
- Central, consolidated data basis across multiple business areas
- Transparent management of CRM/ATS, marketing, HR, and finance KPIs
- Establishment of scalable BI reporting based on Power BI
Jan K.
Last position:
Software Architect: Training Platform for IT Career Changers at appvanced
- Mobile: Kotlin Multiplatform (KMP), Kotlin, Swift, SwiftUI, Jetpack Compose, Ktor, Room, Koin
- Backend: Spring Boot, GCP Cloud Run, GCP Load Balancer, GCP Eventarc
- Planned and developed a cloud backend architecture with Google Cloud Platform
- Developed a cross-platform architecture with Kotlin Multiplatform (KMP)
- Tech lead for comprehensive large project including webshop, two apps and omnichannel backend
Archana R.
Last position:
Power BI Assistant at Cataliquent Projekt GmbH
- Evaluate, design, and implement Power BI solutions for Cat4 reporting, significantly improving reporting efficiency, accuracy, and stakeholder visibility.
- Develop and maintain robust data integration interfaces between Cat4 and Power BI, eliminating manual processing bottlenecks.
- Configure and continuously optimise Power BI reports to deliver sharper management insights and support data-driven decision-making.
- Ensure full GDPR data protection compliance across Power BI reports, proactively identifying and mitigating risks.
- Acquired in-depth product knowledge of CAT4, a globally deployed enterprise platform, enabling effective requirements analysis, solution design, and seamless Power BI integration across client environments.
- Developed and integrated scalable reporting templates within the CAT4 product interface, delivering new product features and enhancing data visualisation, reporting efficiency, and stakeholder visibility across global users.
- Trained and mentored staff on Power BI configuration and best practices, accelerating adoption and embedding a data-driven culture.
- Prepared clear technical documentation and delivered hands-on demonstrations to end users and clients, ensuring smooth adoption and confident use of Power BI solutions integrated with CAT4.
- Researched and recommended licensing strategies for cost-effective and scalable Power BI deployment.
SKILLS - BI & Visualisation: Power BI (Desktop, Service, Report Builder), DAX, Power Query
Project and Product Management Tool: CAT4
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
2.4 years (Germany: 3 years)
Positions per freelancer
10 (Germany: 12)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
94% (Germany: 92%)
Master's degree or higher
69% (Germany: 63%)
Doctorate
6% (Germany: 9%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (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 Dusseldorf 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 Dusseldorf 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 (75%)
- Banking and Finance (50%)
- Professional Services (50%)
- Retail (50%)
- Telecommunication (35%)
- Automotive (25%)
- Education (25%)
- Insurance (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Purpose and scope
Data modeling defines how information is structured, related and governed within a system. It translates business concepts into entities, attributes, relationships and rules that databases, applications and analytics tools can use consistently. The work may cover conceptual, logical and physical models, from an early business view to an implementation-ready schema.
Models for real systems
Companies use data modeling to create dependable foundations for operational and analytical systems. Typical deliverables include:
- Entity-relationship models for core business data
- Relational schemas with keys, constraints and normalization
- Dimensional models with facts, dimensions and analytical measures
- Data vault or other patterns for scalable warehouse environments
- Source-to-target mappings for integration and migration work
Ecosystem and tooling
Strong specialists work across SQL databases, cloud warehouses and data platforms rather than treating a model as an isolated diagram. They may use ERwin Data Modeler, SAP PowerDesigner, Hackolade, dbt, SQL and diagramming tools, while aligning models with PostgreSQL, SQL Server, Oracle, Snowflake or BigQuery. They also connect modeling decisions to APIs, pipelines and reporting layers.
When expertise matters
Freelance support is valuable when a company is replacing a legacy database, consolidating inconsistent sources or preparing a warehouse for reporting and machine learning. It also helps when delivery teams disagree on definitions or when a growing system suffers from duplicated, unclear or poorly governed data. In Dusseldorf, specialists may collaborate remotely or on site with business and technology teams across manufacturing, logistics, finance and retail.
Quality signals
A capable professional asks how data is created, changed, shared and used before choosing a structure. They document assumptions, ownership, naming conventions, cardinality, constraints and lineage in language that both technical and business stakeholders can follow. They test models against real queries and edge cases, and explain trade-offs between flexibility, performance, integrity and maintenance.
Skills beyond diagrams
Data modeling often overlaps with database design, SQL, data governance, master data management and integration. Useful adjacent knowledge includes dimensional modeling, event-driven systems, privacy controls, metadata management and cloud data architecture. The best engagement sets clear outcomes, such as an approved model, migration mapping, governance rules or implementation guidance, rather than measuring progress by diagrams alone.
Frequently asked questions
Not sure where to start with Data Modeling? These answers cover the essentials.
Data Modeling is used to describe the structure, meaning and relationships of information before or during system implementation. It supports relational databases, data warehouses, integrations, reporting and analytics by making definitions and rules explicit.
Data Modeling covers business concepts and logical relationships as well as the physical database structure. Database design usually focuses more narrowly on implementation details such as tables, indexes and constraints, although the two activities often overlap.
A strong Data Modeling specialist often brings SQL, database design, data governance and source-to-target mapping skills. Experience with dimensional modeling, dbt, cloud warehouses, metadata and data quality is useful when the model supports analytics or integration.
The right level of Data Modeling experience depends on scope and risk. A small schema adjustment may need focused support, while a warehouse redesign, merger or legacy migration calls for someone who can lead discovery, resolve competing definitions and validate the model with real workloads.
Data Modeling is often well suited to remote collaboration because workshops, model reviews and documentation can be handled online. On-site sessions in Dusseldorf can still help when specialists need direct access to business stakeholders, operational knowledge or sensitive system context.
Before starting Data Modeling work, gather existing schemas, sample data, reporting requirements and known business definitions. Clarify the systems in scope, expected deliverables, decision makers and any access or privacy restrictions so discovery can move quickly.
A good Data Modeling deliverable is understandable, traceable to requirements and specific about keys, relationships, constraints and ownership. Test it against important business questions and edge cases, then check whether it supports acceptable performance, data quality and future change.
Data Modeling is especially useful when several teams or systems must share consistent definitions, or when requirements are still being clarified. A schema-first approach can be faster for a narrow service, but it may leave important relationships, governance rules and downstream reporting needs unresolved.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Modeling in their recent projects is 97 €, which corresponds to a daily rate of about 775 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Data Modeling in their recent projects, 94% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Dusseldorf, Germany who have used Data Modeling in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Data Modeling in their recent projects are German (95%), English (95%), and French (15%).
The most common industries among freelancers in Dusseldorf, Germany who have used Data Modeling in their recent projects are Information Technology (75%), Banking and Finance (50%), and Professional Services (50%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Data Modeling in their recent projects are Information Technology (100%), Business Intelligence (90%), and Project Management (65%).
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.
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Essen 
Nuremberg Request a free demo
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FRATCH CEO
