Data Modeling Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Data Modeling
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Kathrin S.
Last position:
Requirements Engineer at Governikus GmbH & Co. KG
- Impact: Structured requirements analysis and quality assurance as a foundation for the further development of a software solution.
- Analysis, documentation, and coordination of requirements. Conducting stakeholder analyses, interviews, and workshops to gather and validate requirements. Conducting requirements reviews and working closely with business departments and development teams.
Techniques & Tools: Requirements Engineering, Stakeholder Management, Workshop Facilitation, System Context Modeling, Requirements Reviews, Quality Scenarios, Miro, Jira, Confluence
Thomas P.
Last position:
Product Owner & AI Automation Architect (B2B) at Ihre-Hygieneberatung
Development of a digital audit application for inspections in medical facilities. The goal is to connect on-site data collection, voice recording, documentation and downstream processes in one end-to-end, AI-supported workflow.
Design and development of a Flutter audit app with Claude Code for the structured execution and documentation of inspections.
Processing of voice recordings captured in the app through automatic transcription and AI-supported creation of structured inspection reports, followed by an approval process
Connecting various data sources such as email, Odoo 19, attendance records and Google Drive via n8n to automate billing and follow-up processes
Automatic provision of required documents and email delivery through n8n-controlled workflows, including the use of LLMs for text creation
Skills: Flutter, Claude Code, LLM Integration, n8n, Odoo 19, Google Drive, Process Automation
Jörg K.
Last position:
Exec. Coach / Consultant / Agilist at HASOMED GmbH
Repaired a broken “ScrumBan” process, then established a pure Kanban system; increased output in the Kanban flow by 22% within four weeks
Increased team autonomy and decision-making ability by implementing new decision strategies; resulting in up to 25% better outcomes
Redesigned retrospectives (including one-to-one coaching and workshops), which led to consistent implementation of the resulting action items
Intensive coaching of Product Owners (POs) to develop and support “Empowered Teams”, alongside leadership development to place agile frameworks and methods in a realistic context (“de-illusioning”)
Supported change management processes to promote an agile company culture among management and teams, improving internal communication to increase transparency and effectiveness in agile processes
Wolfgang O.
Last position:
Project Manager at EnBW - Netze Südwest
- New development and further development of the existing MS Dynamics CRM
IT systems: Microsoft Dynamics Customer Service, SharePoint, DevOps, SAP IS-U
- CRM implementation / further development
- Taking over from the previous service provider
- Business process analysis
- Agile project organization
- Business analysis / requirements engineering with AI support
- Use of AI in development
- Analysis of master data processes
- CRM customer data management
- Requirements documentation
- Stakeholder management
- Workshop moderation
Khalid E.
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 H.
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
Yusuf D.
Last position:
Senior Project Management Transformation & Data at BG-PREVENT
A nationwide service provider for occupational medicine, occupational safety and health management, focusing on prevention, health and digital transformation.
- Role: Responsible for establishing and further developing professional project portfolio management in the Digital Transformation & Data area. Managing and supporting strategic IT and transformation projects, as well as supporting the introduction and establishment of project management standards, methods and governance structures.
Key areas:
- Establishment and further development of IT project portfolio management
- Analysis and structuring of business and technical requirements
- Management and coordination of cross-functional IT initiatives
- Stakeholder management at department, management and service provider level
- Introduction and further development of project management methods and tools (including Jira, Confluence, MS Planner)
- Preparation of decision-making documents, target visions and implementation concepts in the context of digital transformation
- Management and coordination of transformation, digitalization and organizational projects
- Preparation of decision templates and management documents for executive committees
- Conducting workshops and stakeholder management with departments and IT teams
- Definition of requirements for dashboards, reporting and KPI management
- Participation in the Wissenskompass project (requirements analysis and MVP concept)
- Analysis and evaluation of AI support opportunities 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 departments to further develop project management standards
- Introduction, configuration and training for Microsoft Planner to support project and task management
- Conducting user training and supporting employees in the introduction of new ways of working and tools
Hans-Dieter G.
Last position:
Training as an AI Expert
I continuously expand my expertise in AI and automation. I work with ChatGPT, OpenAI, Manus, Gemini, MS CoPilot, APIs, LangChain, Hugging Face, Manus, TensorFlow, and Auto-GPT, as well as Python-based ML frameworks and MLOps tools, to intelligently transform traditional software development, analysis, and testing processes.
Fadi S.
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
Thorsten H.
Last position:
Product Owner, AI Manager at crazyALEX.de GmbH
Digitalization of real-world locations using 3D/LiDAR scans to make spatial data usable for AI applications and derive concrete use cases and prototypes from it.
- Digital capture of real-world locations as a basis for faster planning and analysis
- Browser-based access to 3D data for easier use and coordination
- Conversion of spatial data into concrete use cases, prototypes and AI training scenarios
- Planning basis for urban development and other digital applications of the future
Keywords: LiDAR, 3D scan, AI, use cases, AI training, prototyping, Python, web development, data models, architecture
Deepa K.
Last position:
Data Analyst – BI Lead Engineer at Novartis
- Leading enterprise BI transformation across Power BI & Microsoft Fabric, delivering scalable data models, automated reporting, and high-performance analytics solutions for commercial and operational leadership.
- Building and optimizing Power BI Dataflows, Fabric Lakehouse datasets, semantic models, and automated reporting pipelines to improve data scalability, governance, and reporting performance.
- Driving dashboard modernization and KPI governance by translating complex business requirements into executive-level insights, interactive visualizations, and decision-ready analytics.
- Designing end-to-end Microsoft Fabric architectures integrating data ingestion, transformation, virtualization, and enterprise reporting across cross-functional business domains with SAP BW to Qlik to Power BI migration.
- Delivering AI-enabled reporting capabilities, threshold-based alerting, and automation frameworks within the Power BI ecosystem to accelerate business decision-making.
- Partnering with commercial leadership, analytics teams, and IT stakeholders to standardize KPIs, optimize BI strategy, and deliver scalable, business-critical reporting solutions.
- Recognized for combining strong stakeholder leadership, technical architecture expertise, and business-driven analytics to deliver impactful enterprise BI transformation initiatives.
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
Mladen B.
Last position:
Senior SAP BW/4HANA / BPC / SAC Consultant – Freelancer at Company in Berlin and Belgium in the utilities sector
- Implementation of data models in BW/4HANA, ABAP CDS Views, HANA Calculation Views, AMDP Scripts, OData Services, object-oriented ABAP in BW, SAC.
- Adjustments in BPC for BW/4HANA.
Peter H.
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
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
3 years
Positions per freelancer
12
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
63%
Doctorate
10%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
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 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.
Discover detailed Data Modeling rate benchmarks:
Explore rate insightsAverage 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 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 (85%)
- Professional Services (49%)
- Banking and Finance (48%)
- Manufacturing (39%)
- Automotive (37%)
- Retail (34%)
- Telecommunication (27%)
- Healthcare (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data model foundations
Data modeling defines how information is organized, related and governed within an application, database or analytical environment. Professionals translate business concepts into conceptual, logical and physical models that clarify entities, attributes, relationships, keys and constraints. The result is a shared structure for building systems that remain understandable as requirements change.
Relational and NoSQL design
A strong model reflects the way data is created, queried and maintained. Relational designs use normalization, schemas, foreign keys and carefully chosen indexes, while document, key-value, graph and column-oriented systems require different patterns. Specialists weigh consistency, query performance, flexibility, storage needs and operational complexity instead of forcing every workload into one approach.
Ecosystem and tooling
Data modeling connects business analysis with database engineering, software delivery and analytics. Common work includes:
- Mapping source systems, domains and data ownership
- Designing SQL schemas, dimensional models and canonical structures
- Documenting models with ER diagrams and metadata tools
- Aligning models with cloud warehouses, lakehouses and APIs
- Managing schema changes through version control and migration workflows
Where companies use it
Companies bring in data modeling expertise when a new product needs a durable information structure, when reporting definitions conflict, or when a legacy database blocks change. In Germany, specialists may support manufacturing, finance, healthcare, logistics and public-sector systems, working remotely or alongside local product and data teams. Clear models also help teams prepare governed data for integration, analytics and machine learning.
When freelance expertise helps
External professionals are useful during platform migrations, mergers, modernization programs and warehouse redesigns. They can assess an existing schema, identify duplication and unclear ownership, define target models, and leave behind documentation that internal teams can maintain. They also help establish naming conventions, data quality rules, lineage and review practices before implementation work accelerates.
What strong professionals deliver
Quality is more than a tidy diagram. Strong specialists connect models to real business processes, test assumptions with stakeholders and explain trade-offs in language that technical and non-technical teams can use. They understand SQL, transactions, indexing, APIs, integration patterns and analytical modeling, while adapting their approach to the chosen database, delivery method and governance requirements.
Frequently asked questions
Curious about Data Modeling? Here are the answers that come up again and again.
Data Modeling is used to define how information is structured, connected and governed in databases, applications, warehouses and integration flows. It helps teams agree on business concepts, protect data quality and build systems that can evolve without creating unnecessary duplication or confusion.
Data Modeling describes information at conceptual, logical and physical levels, including relationships, meaning and rules. Database design focuses more directly on implementing that model in a particular database through schemas, indexes, constraints and performance choices. In practice, the two disciplines overlap and are often handled together.
A strong Data Modeling specialist usually understands SQL, relational databases, dimensional modeling and data integration. Experience with NoSQL patterns, cloud warehouses, APIs, metadata, lineage and data governance is valuable when the work spans operational and analytical systems.
The right level of Data Modeling experience depends on scope, risk and system complexity rather than a fixed career duration. A focused schema review may need a specialist who can work independently on a defined problem, while a migration or enterprise model requires experience with domains, stakeholders, legacy constraints and implementation trade-offs.
Data Modeling is well suited to remote collaboration because diagrams, documentation, repositories and review sessions can be shared online. On-site workshops can still help when domain knowledge is distributed across German teams, regulated environments or operational sites, and language expectations should be agreed before work begins.
A company should consider a Data Modeling expert when teams disagree about definitions, reporting cannot be reconciled, a migration is approaching or a new product lacks a clear information structure. Freelance support can provide focused assessment and an impartial target model without delaying internal delivery work.
Evaluate Data Modeling work by checking whether the model reflects real business rules, avoids unjustified duplication and supports the queries and processes that matter. Ask for clear assumptions, documented ownership, rationale for key decisions, representative test cases and a practical path from the current structure to the proposed design.
Data Modeling is commonly considered alongside SQL databases such as PostgreSQL, MySQL and Microsoft SQL Server, as well as cloud warehouses and NoSQL systems. The relevant choice depends on workload, consistency needs, access patterns, integration boundaries and the team’s ability to operate the technology over time.
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, 63% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used Data Modeling in their recent projects have 18 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 (98%), 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 (73%), and Product Development (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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Leipzig 
Essen 
Nuremberg Request a free demo
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FRATCH CEO
