Data Modeling Experts in Zurich
matched in minutes with vetted, available specialists and the power of AIHire experts who design reliable data structures, map complex business domains and shape analytics-ready schemas across relational, dimensional and NoSQL systems. FRATCH matches you quickly and precisely with vetted, available freelancers for your project.
Meet FRATCH Experts in Zurich, who have recently used Data Modeling
Marco S.
Last position:
MS Power BI Developer at Bayern Facility Management GmbH
Power BI development and administration, training, consulting, data modeling, DAX development
MS Fabric, MS Power BI, DAX
Matthias S.
Last position:
Lecturer in Software Management at Graubünden University of Applied Sciences
- Design and delivery of the university module “Software Management” in the Bachelor’s degree program in Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, and agile and hybrid project management
- Coverage of release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Combining methodological foundations with experience from software development, customer projects, delivery, release management, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid approaches, requirements engineering, risk and quality management, release management, test management, Moodle
Paulo M.
Last position:
Power BI / Fabric & SAP BI Consultant at Financial Bank
- Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
- Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
- Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
- Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
- Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
- Optimized UNX universes, reducing query execution time by 40%.
- Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.
Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.
Gwang Jin K.
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Markus F.
Last position:
Logistics Expert/Coach at RAPID Technic AG
- Coaching, developing fundamentals and leading technical aspects in logistics transformation
- Extending SAP WM functionalities
- Efficiency measures in shuttle warehouse technology
- Setting up logistics operations reporting
- Comprehensive inventory planning and execution
- Preparing the technical and commercial foundations for cooperation with external logistics service providers
- Recommendations for the future process and organizational structure
Dariusz K.
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Bartosz P.
Last position:
Senior Project Manager, Product Owner at SoftwareONE
- Led a global enterprise-platform upgrade across 60+ countries, coordinating multiple localizations, integrations, and stakeholder groups from multiple locations, including Europe, US and India.
- Product Owner for a delivery team focused on platform usability, performance, and reliability—owning backlog, roadmap, and KPI outcomes.
- Implemented governance and audit-ready processes that made change safer and more predictable, and improved platform compliance with regulatory requirements.
Ala L.
Last position:
VR/AR/ML Project Site Lead (contract by Experis) at Meta
- Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
- Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
- Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
- Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective
Michael R.
Last position:
Doctor of Economics at University of St. Gall
- Awarded the degree of Doctor of Economics (Dr. oec.)
- Passed doctoral examination with the grade "good"
- Dissertation: Development of OR-based software systems – concepts for problem- and user-oriented design
Milica M.
Last position:
Full-Stack Developer at Holycode
- Contribute to a cross-functional team building a cloud-based bookkeeping platform for SMEs
- Design and implement Java Spring Boot microservices with clear separation of concerns
- Integrate core services via REST and gRPC APIs
- Implement event-driven workflows using RabbitMQ for reliable, decoupled messaging
- Model and manage transactional data in PostgreSQL and leverage Redis for caching
Sven M.
Last position:
SAP BW development and consulting, ongoing support, international industrial company at Rafi Berg
- Extension of the planning application for annual and rolling planning
- Improvements for navigation and filtering with master data
- Administration of the planning InfoProvider: selective deletion of unneeded data, generation of zero records
- Fixing issues from the open items list
- Technologies: SAP BW, SAP BW-IP, SAP SD
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Project Management, Information Technology, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
82%
Doctorate
18%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
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 Zurich 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 Zurich 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 (58%)
- Professional Services (58%)
- Education (50%)
- Healthcare (50%)
- Aerospace and Defense (33%)
- Government and Administration (33%)
- Food and Beverage (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Foundations and purpose
Data modeling defines how information is structured, related, stored and governed. It turns business concepts such as customers, products, contracts and transactions into clear data entities, attributes and relationships. The work supports operational databases, reporting systems, data warehouses, data lakes and shared data products.
Modeling approaches
Experts choose an approach that fits the system’s purpose, query patterns and ownership model. Conceptual models align stakeholders, logical models clarify rules and relationships, and physical models translate them into implementation details. Common patterns include normalized relational models, dimensional star schemas, Data Vault structures and document-oriented designs.
Ecosystem and tooling
Data Modeling connects closely with SQL, relational database systems and cloud data platforms. Professionals may work with PostgreSQL, Microsoft SQL Server, Oracle Database, Snowflake, BigQuery, dbt and enterprise catalog tools. They use diagramming, metadata management, version control and automated validation to keep models understandable and consistent.
Where it delivers value
Companies bring in Data Modeling expertise when information is fragmented, definitions conflict or a new platform must scale without losing trust.
- Design schemas for transactional applications and APIs
- Build dimensional models for reporting and analytics
- Map source systems into warehouse or lakehouse structures
- Define master data, lineage and shared business terms
- Improve performance, integrity and long-term maintainability
When to involve specialists
Freelance specialists are useful during migrations, mergers, ERP or CRM changes, analytics rollouts and data-platform modernization. They can assess existing schemas, identify duplication and unclear ownership, then create a practical target model and migration path. In Zurich, collaboration may combine remote workshops with on-site sessions, depending on stakeholder needs and language expectations.
What strong experts deliver
Strong professionals connect technical structure with business meaning. They ask how data is created, changed, queried and governed before choosing a pattern. Their deliverables may include model diagrams, data dictionaries, naming standards, mapping rules, SQL definitions, validation checks and documentation that teams can maintain after handover.
Frequently asked questions
Curious about Data Modeling? Here are the answers that come up again and again.
Data Modeling is used to describe the entities, attributes and relationships that information systems need to store and use. It supports application databases, reporting layers, warehouses, lakehouses, master data and integration work.
Data Modeling focuses on the meaning, structure and relationships of data across business and technical layers. Database design applies those decisions to a specific database, including indexes, constraints, partitioning and performance settings; the two activities often overlap.
A Data Modeling specialist chooses based on workload, consistency needs, access patterns and governance requirements. Relational models suit structured transactions, dimensional models support analytics, and NoSQL approaches can fit flexible or high-volume access patterns when their trade-offs are understood.
A strong Data Modeling expert often brings SQL, database administration awareness, data warehousing and ETL or ELT experience. Knowledge of cloud data platforms, dbt, data governance, lineage, APIs and business analysis can also make the model more useful in production.
The right level depends on scope, risk and the state of the source systems. A focused schema review may need a specialist who can work independently, while a cross-domain transformation benefits from experience with stakeholder workshops, legacy analysis, migration planning and governance.
Data Modeling is often well suited to remote collaboration because diagrams, definitions and SQL artifacts can be reviewed online. Projects involving sensitive data, complex stakeholder workshops or regulated environments may still benefit from on-site work in Zurich, with communication arranged in the languages the team uses.
Review whether Data Modeling decisions are traceable to business requirements and whether entities, keys, relationships and definitions are unambiguous. Ask for examples of documentation, validation rules and performance considerations, then test whether the model supports real queries without unnecessary duplication or hidden assumptions.
A Data Modeling freelancer may deliver conceptual, logical and physical diagrams, a data dictionary, source-to-target mappings and SQL-ready schema definitions. Depending on the engagement, the work can also include governance rules, lineage documentation, migration support and handover sessions for the internal team.
The average hourly rate of freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects is 122 €, which corresponds to a daily rate of about 976 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects, 91% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects are English (100%), German (92%), and French (50%).
The most common industries among freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects are Information Technology (75%), Banking and Finance (58%), and Professional Services (58%).
The most common business areas among freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects are Information Technology (100%), Product Development (58%), and Project Management (58%).
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
