Data Modeling Experts in Germany
in minutes from over 15,000 CVs with the power of AIHire experts who design clear data structures, build logical and physical models, and shape warehouse and analytics schemas. They support ER modeling, dimensional modeling, and database design for reporting, migration, and product platforms. Fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Data Modeling
Khalid El Mansouri
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Johannes Hohenthaner
Last position:
Business Analyst for Riester subsidy management migration at Insurance company
- Analysis of the Riester subsidy GeVos for provider change 2.0 in the AZUR subsidy management system
- Representation of the GeVos in BPMN 2.0 with Draw.io and Adonis
- Analysis of the data sets exchanged with the life insurance policy administration system and migration to the msg data sets
- Design and mapping of the interfaces to the new msg.ZulagenVerwaltung for various Riester subsidy GeVos at data field level
Kathrin Siegmann
Last position:
Requirements Engineer at Governikus GmbH & Co. KG
- Analysis, documentation, and alignment of requirements. Conducting stakeholder analyses, interviews, and workshops for requirements gathering and validation. Carrying out requirements reviews and working closely with business units and development teams.
Techniques & tools: requirements engineering, stakeholder management, workshop facilitation, system context modeling, requirements reviews, quality scenarios, Miro, Jira, Confluence
Fadi Shoaa
Last position:
Development of a production-ready Enterprise Document AI & Recommendation Platform at Freelancer
- Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
- Integration of Azure AI Document Intelligence and LLM technologies into existing business processes
- Development of robust REST APIs for automated document processing and system integration
- Extraction, validation, and storage of structured invoice data in Azure SQL as a base for analytics and machine learning models
- Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchase data
- Implementation of logging, monitoring, error handling, and validation mechanisms for stable production use
- Collaboration with business teams to define business rules and integrate the solution into existing enterprise processes
Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation
Yusuf Demirci
Last position:
Senior Project Management Transformation & Data at BG-PREVENT
Nationwide service provider for occupational medicine, occupational safety, and health management with a focus on prevention, health, and digital transformation.
- Role: Responsible for building and further developing professional project portfolio management in the area of Digital Transformation & Data. Steering and supporting strategic IT and transformation projects as well as supporting the introduction and establishment of project management standards, methods, and governance structures.
Focus areas:
- Build-up and further development of IT project portfolio management
- Analysis and structuring of business and technical requirements
- Steering and coordination of cross-functional IT initiatives
- Stakeholder management at business, management, and service provider level
- Introduction and further development of project management methods and tools (including Jira, Confluence, MS Planner)
- Preparation of decision bases, target visions, and implementation concepts in the context of digital transformation
- Steering and coordination of transformation, digitalization, and organizational projects
- Preparation of decision papers and management documents for steering committees
- Running workshops and stakeholder management with business units and IT teams
- Definition of requirements for dashboards, reporting, and KPI steering
- Support in the project Wissenskompass (requirements analysis and MVP concept)
- Analysis and evaluation of AI support options in knowledge management
- Investigation of AI use cases to improve knowledge provision and use
- Consideration of AI requirements as part of the Wissenskompass concept
- Coordination with strategic business units on the further development of project management standards
- Introduction, configuration, and training of Microsoft Planner to support project and task management
- Conducting user training and supporting employees in the introduction of new ways of working and tools
Thorsten Huber
Last position:
Product Owner, AI Manager at crazyALEX.de GmbH
Digitizing real-world places with 3D/LiDAR scans to make spatial data usable for AI applications and to derive concrete use cases and prototypes from it.
- Digital capture of real-world places as a basis for faster planning and analysis
- Browser-based access to 3D data for easier use and coordination
- Turning spatial data into concrete use cases, prototypes, and AI training scenarios
- Planning basis for urban development and other digital future applications
Keywords: LiDAR, 3D scan, AI, use cases, AI training, prototyping, Python, web development, data models, architecture
Thomas Polanski
Last position:
Project Manager & Product Owner – M&A Integration at voxa c/o IC Music and Apparel GmbH
- Project management of the legal and system-side integration of Taschenkaufhaus into the Voxa group: conversion of all contracts, accounts, and system access rights on the defined cutover date
- Migration from Microsoft Dynamics NAV 2009 to 2013: analysis of all existing interfaces, redefinition of processes, and coordinated go-live without interrupting operations
- Integration of the complaints and returns process into MS Dynamics NAV 2013; major process simplification through standardization
- Introduction of a new POS system (Shopify POS) in all stores: requirements analysis, configuration, rollout, and employee training
- Use of n8n automation workflows for data reconciliation between marketplaces and ERP; manual processes significantly reduced
Wolfgang Orgler
Last position:
Business Analyst at Ă–sterreichische Post AG
IT systems: Azure DevOps, SharePoint, Opal/Repost, JustinMind, Monday, SAP
Analysis of requirements for branch software
Coordination of intercultural teams
Partly agile project organization
Master data management / DMS
UI/UX design and mockup creation
Requirements documentation
Digitalization of signatures
Stakeholder management and workshop facilitation
Billing/bank transfer
Business analysis / requirements engineering
Martin Petermann
Last position:
Business Analyst and Test Manager at ProSiebenSat.1 Tech & Services GmbH
- Analysis of affected business processes taking numerous stakeholders into account
- Interface analysis, architecture and system design
- Communicating and coordinating various subprojects and interface partners
- Creating epics and user stories, maintaining the backlog, workshops and review presentations
- Support during implementation between business departments and development
- Test management including strategy and approach definition
- Test case definition, execution and approval
- Cross-team organization of integration and acceptance tests
- Support of test environments
- Technologies and tools: Java, Angular, Kubectl, REST, AWS SNS/SQS, Kafka, S4/HANA, Bruno
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
Peter Herrmann
Last position:
Consultant Financial Data Warehouse Migration Interfaces Reporting at Large bank / central institution
- New connection of the product interfaces of the Financial Data Warehouse (FDW) directly to the Abacus 360 native interfaces
- IT environment: PC, client-server, Citrix remote client, Oracle DB
- Mapping of FDW outbound to Abacus 360 Native
- Analysis of requirements documents, business concepts, and existing interface rules
- Definition of new FDW rules for outbound to Abacus 360
- Adjustment of test scripts for the new interfaces
- Execution of tests to ensure correct data delivery and processing
Umut GĂĽlac
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.
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
Ankit Handa
Last position:
AI Evaluation Analyst at Turing
Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.
- Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
- Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
- Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
- Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.
Boris Solos
Last position:
Generalist expert for software development at Mercor
- Training the AI models, evaluating images and texts for UI/UX, turning the provided data into insights via OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
3 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
92%
Master's degree or higher
64%
Doctorate
11%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
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 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 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
What data modeling covers
Data modeling defines how information is structured, connected, and stored. It turns business rules into usable models for applications, analytics, and reporting. Strong work here keeps data consistent, searchable, and ready for change.
Common deliverables
- Conceptual, logical, and physical models
- Entity-relationship diagrams and table structures
- Dimensional models for warehouses and BI
- Naming rules, keys, and relationships
- Data dictionaries and migration mappings
Tools and methods
Professionals often work with ER modeling tools, SQL, and database design standards. They adapt models for relational systems, cloud warehouses, and streaming or operational data stores. In Germany, they often collaborate with product, analytics, and engineering teams in English or German.
When companies bring in specialists
Teams call in freelance expertise when a schema is unclear, reporting breaks, or a platform is growing fast. They also need help during data warehouse redesigns, system consolidation, and migrations from legacy databases. A good specialist reduces rework before it reaches production.
What strong specialists do
Strong professionals ask about business rules, not just tables. They balance normalization, performance, and maintainability, and they document decisions so others can extend the model safely. They also spot where master data, reference data, or history handling needs extra care.
Signs you need help
- Reports use inconsistent fields or definitions
- New features keep breaking existing data
- Multiple systems store the same customer or product data
- A migration needs clean mapping and validation
- The team needs better warehouse or BI structure
Frequently asked questions
Curious about Data Modeling? Here are the answers that come up again and again.
Data Modeling is used to define how data is organized, related, and stored so teams can build reliable applications, reports, and warehouses. It helps reduce duplication, prevent inconsistent records, and make future changes easier. In practice, it sits between business rules and the database design.
Data Modeling focuses on the structure and meaning of data, while database design turns that structure into an implementation for a specific database. A model may be conceptual, logical, or physical, depending on the stage. Good specialists move cleanly from business concepts to tables, keys, and constraints.
Hire Data Modeling support when the team is redesigning a core schema, preparing a migration, or fixing reporting issues caused by poor structure. It also helps when product and analytics teams use different definitions for the same data. A freelance specialist is useful when you need focused work without slowing the core team.
A strong Data Modeling professional usually brings SQL, database normalization, and knowledge of warehouse patterns such as dimensional modeling. Experience with ER modeling tools, data governance, and migration planning is also valuable. For analytics-heavy systems, familiarity with BI and master data concepts helps a lot.
A small cleanup may only need a specialist who can review the current schema and propose targeted changes. A larger redesign, such as a legacy migration or warehouse rebuild, needs someone who can handle business rules, history, and performance trade-offs. The right choice depends on complexity, not just the tool stack.
Data Modeling is the broader discipline, and ER modeling is one common method inside it. ER diagrams are useful for showing entities, attributes, and relationships, especially during analysis and design. Many specialists use ER modeling together with dimensional modeling and physical schema design.
Yes, most Data Modeling work can be done remotely because the key output is structured thinking, documentation, and review sessions. For teams in Germany, remote collaboration often works well if business stakeholders are available for workshops and clarifications. On-site time can still help at the start of a complex redesign.
A good Data Modeling outcome is clear, consistent, and aligned with real business rules. Check whether it avoids unnecessary duplication, supports the main queries, and includes sensible keys, constraints, and history handling. The model should also be documented well enough for others to maintain it.
The average hourly rate of freelancers in Germany who have used Data Modeling in their recent projects is 100 €, which corresponds to a daily rate of about 802 € based on an 8-hour working day.
Of the freelancers in Germany who have used Data Modeling in their recent projects, 92% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Germany who have used Data Modeling in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Germany who have used Data Modeling in their recent projects are German (99%), English (95%), and French (20%).
The most common industries among freelancers in Germany who have used Data Modeling in their recent projects are Information Technology (85%), Professional Services (49%), and Banking and Finance (48%).
The most common business areas among freelancers in Germany who have used Data Modeling in their recent projects are Information Technology (96%), Business Intelligence (74%), and Product Development (72%).
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 
Cologne 
Frankfurt 
Dusseldorf 
Leipzig 
Essen 
Nuremberg 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!
Philipp Thomaschewski
FRATCH CEO
