Data Modeling Experts in Zurich
to shape reliable data systems, matched in minutes with vetted freelancersHire experts who design clear schemas, dimensional models and data architectures for analytics, applications and reporting. FRATCH uses fast, precise AI matching to connect you with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Zurich, who have recently used Data Modeling
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
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
Nikita V.
Last position:
Salesforce Technical Architect at Fennia
- Designed and engineered a shared web component library for a customer portal serving 360,000+ private users and integrated the LWC framework with Storybook via Rollup.
- Resolved WCAG AA compliance issues to support strict accessibility requirements.
- Integrated legacy systems into a new portal via REST API to support existing products.
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
20 years
Position duration
2.2 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
90%
Master's degree or higher
90%
Doctorate
20%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
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 Zurich 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 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 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 (73%)
- Banking and Finance (55%)
- Education (45%)
- Professional Services (45%)
- Healthcare (36%)
- Aerospace and Defense (27%)
- Insurance (27%)
- Manufacturing (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Foundations
Data Modeling defines how information is structured, related and governed across databases, applications and analytical systems. Experts translate business concepts into entities, attributes, relationships, constraints and naming standards. Their work creates a dependable foundation for storing, querying and sharing data.
Models and Patterns
Professionals choose the right level of detail for each purpose. Conceptual models align stakeholders, logical models clarify business rules, and physical models guide implementation. Common patterns include normalized relational schemas, dimensional models with facts and dimensions, and data vault structures for traceability and change.
Ecosystem and Tooling
Data Modeling connects closely with database design, SQL, data warehouses, lakehouses and modern transformation workflows. Specialists may work with ER modeling tools, dbt, Snowflake, BigQuery, PostgreSQL, SQL Server or cloud architecture services. They also document lineage, definitions and ownership so teams can use data consistently.
Where It Delivers
Companies bring modeling expertise into new platforms, migrations and reporting initiatives. Typical deliverables include:
- Conceptual, logical and physical data models
- Dimensional schemas for analytics and business intelligence
- Source-to-target mappings and transformation specifications
- Data dictionaries, governance rules and lineage documentation
When Support Matters
Freelance specialists help when data is duplicated, reporting definitions conflict or a growing system has no clear structure. They can assess existing schemas, resolve integration issues and prepare models for new products, regulatory reporting or enterprise analytics. In Zurich, remote collaboration often works well, while workshops with local business and technology teams can benefit from on-site availability and clear language alignment.
Signs of Quality
Strong professionals connect technical structure with real business use. They ask how data is created, changed and consumed before proposing a model, then test decisions against performance, security, ownership and future change. Look for precise documentation, thoughtful trade-offs, practical SQL knowledge and experience communicating with product, finance and operations teams.
Frequently asked questions
Curious about Data Modeling? Here are the answers that come up again and again.
Data Modeling is used to describe how information is organized, connected and governed in a system. It supports operational databases, analytics platforms, reporting, integrations and application design by giving teams a shared structure and vocabulary.
Data Modeling focuses on the meaning, relationships and rules behind information, while database design turns those decisions into a specific technical implementation. The two overlap, but modeling can remain independent of a particular database engine or storage technology.
A strong Data Modeling specialist often brings SQL, relational database design, data warehousing and data governance skills. Experience with ETL or ELT workflows, cloud storage, analytics tools, lineage and stakeholder workshops is also valuable.
The right level depends on the system’s scope, data quality and number of stakeholders. A focused schema review may need a specialist for a short engagement, while an enterprise warehouse or migration requires deeper discovery, governance and implementation support.
Data Modeling is well suited to remote work because models, documentation and review sessions can be shared digitally. For teams in Zurich, occasional on-site workshops can still help when business definitions, ownership and conflicting reporting needs must be resolved quickly.
Bring in a Data Modeling freelancer when teams disagree about definitions, systems duplicate information or new reporting needs expose structural gaps. External expertise is also useful before a migration, warehouse build or major application redesign.
Review whether the Data Modeling professional explains assumptions, captures business rules and documents relationships clearly. Ask for examples of trade-offs involving normalization, analytics performance, data quality, ownership and future change.
Data Modeling is often weighed against a less formal approach based on source structures and transformation logic alone. That approach may be faster initially, but a well-defined model usually improves consistency, discoverability and control as data products and reporting needs grow.
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 975 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects, 90% hold at least a Bachelor's degree, 90% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects are English (100%), German (91%), and French (36%).
The most common industries among freelancers in Zurich, Switzerland who have used Data Modeling in their recent projects are Information Technology (73%), Banking and Finance (55%), and Education (45%).
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 (64%), and Quality Assurance (55%).
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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