Data Quality Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Data Quality
Gwang Jin Kim
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
Lenka Pytelkova
Last position:
Workday Technical Architect at Swisscom
(Project Assignment via consulting company HighPerfPeople)
- Lead the Workday Optimization Board, defining and presenting the Workday enhancement roadmap; drive prioritization based on stakeholder input, system analysis, and identified capability gaps.
- Challenge business requirements and proposed solutions to ensure alignment with long-term architecture principles, platform strategy and operational sustainability.
- Own the complete lifecycle of Workday enhancements from business discovery and solution design through implementation governance, testing strategy, deployment and stabilization.
- Act as functional/technical lead for key product areas including Peakon, Workday Learning, and Talent/Performance processes (e.g., year-end cycle, goal setting).
- Define and implement Workday branding and communication standards (templates, notification design, messaging structure) to improve consistency and employee experience.
- Build and enhance manager- and HR-facing tools (reports, dashboards, guidance/Journeys, process support assets) to reduce manual effort and improve decision-making.
- Translate complex system behavior, security/privacy constraints, and process implications into clear options for business stakeholders and leadership.
- Drive cross-functional collaboration with HR process owners, IT/security, and vendors to resolve issues and enable scalable solutions.
- Strong focus on adoption: ensure changes are usable, understandable, and actionable for employees, managers, and HR teams.
Monika Elsen
Last position:
Tax Specialist at Julius Bär / Bosshard & Partner
- Operational responsibility in tax relief at source
- Took over and stabilized a complex department during a project phase
- Analysis, review, and optimization of existing processes and workflows
- Updating and further development of the specialist manual
- Analysis and resolution of individual cases in an international tax environment
Peter Wydler
Last position:
IT Consultant at WYP-Consulting
Mandy Govender Huggenberger
Last position:
Founder & Principal Consultant at MGH Consulting
- Established an independent consulting practice offering transformation, strategy, AI enablement and operational design to organisations across Switzerland and internationally
- Delivering pro-bono and paid engagements with NGOs, foundations, trusts and SMEs across Switzerland
- Service offering spans governance design, digital transformation, AI tools training and data visualisation
- Building a Swiss-based team with a vision to employ internationally experienced consultants
Hanspeter Jost
Last position:
Lead Salesforce Consultant DACH at DXC Technology
- Recording, validating, and coordinating customer requirements
- Analyzing customers' business processes, and designing and implementing solutions in Salesforce
- Designing and developing Salesforce architectures using Sales and Service Cloud
- Maintaining and expanding my skills to stay current with Salesforce's new features
- Taking an active role in the pre-sales phase and working closely with sales and pre-sales teams
- Building and strengthening the team's expertise in new areas
- Actively helping to define and align my role within DXC's best practices
- MC Growth implementation
- AI Agentforce Agents Builder
- Agent Designer with elements.cloud
- Salesforce org assessments
- Process configuration mining
- Serving as a single point of contact for global SFDC contacts
- Coordinating projects with the EMEA and global headquarters
- Preparing proposals and presales work with Salesforce Account Executives and client partners for global accounts
Max Meinhardt
Last position:
Qualtrics CXM Solutions Expert at Freelancing
Support with the introduction and implementation of the Qualtrics XM platform in the consulting and service environment for customers, e.g. in the banking sector, focusing on data quality, parameterization, technical coordination, and implementation support
Technical validation of configurations, feedback flows, and reporting setups
Review and assurance of data quality (mapping, mandatory fields, regulatory-relevant fields)
Performance of UAT, functional tests, and data checks in collaboration with the department and IT
Coordination with stakeholders from consulting, service, compliance, IT, and product management
Clarification of technical requirements with the business side and derivation of adaptation requirements in the platform
Creation of documentation, test protocols, and quality-related artifacts
Support in the preparation of internal approvals and rollouts
Successful technical acceptance of the new feedback and reporting functionalities
Increase in data quality in the relevant fields (e.g., feedback classification, assignment to the consulting process)
Stable implementation of the platform in the consulting environment with clear handover to IT and specialist departments
Reinhold Schätz
Last position:
Senior Software Developer at Hitachi Energy
- Support and further development of the Leegoo Builder
- Handling ad hoc requests
- Definition of rules/attributes and their rules
- Optimizing and managing SQL queries
Daniel Schmidt
Last position:
Senior Manager at devpoint GmbH
- Design and co-implementation of an insolvency management platform in Germany for a client (based on an AI development tool)
- Concept, requirements engineering, and implementation support for a Dubai-based company to integrate processes into a CRM
- Business analysis and requirements engineering at Swisscom for integrations
- Integration of a new knowledge management system into the business processes at Swisscom AG – REST API definition
- Project manager, consultant, and sparring partner for the realignment/process digitalization at GIB Solutions AG
- Process designer and prototype for an AI-based real estate marketing system in Dubai
- Interim head of the ICT department at a telecom company, reorganizing and optimizing processes with a team of 5 at GIB Solutions AG
- Agile requirements engineer / external PO for a web-based solution for the German company DEHN AG
- Project management and consulting for the existing marketing and campaign planning solution at Swisscom AG
- Building the ALoHA nearshore offering at devpoint
Fatima Dumicz
Last position:
Clinical Data Manager at Consultant – Clinical Data Management & Clinical Operations
- Served as a DM contractor for Mirum Pharmaceuticals between 2025-02-01 and 2026-05-31, leading end-to-end clinical data management activities
- Coordinated a significant networking event for HEMEX (Swiss CRO), fostering connections within the Swiss biotech ecosystem
- Engaged with stakeholders to explore innovative models that simplify execution and reduce operational burdens for clinical trials
Dariusz Kaczmarkiewicz
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
Kalin Stefanov
Last position:
Sr Data Engineer / Architect at Samsung Logistics
- Architected and implemented a structured three-layer enterprise data warehouse model in Azure, establishing a robust and scalable data environment.
- Migrated legacy stored procedures to streamlined Azure Data Factory (ADF) pipelines, enhancing data processing efficiency.
- Introduced comprehensive Git-based source control, ensuring rigorous version management and collaborative development practices.
- Established automated data quality frameworks with proactive monitoring and alerting, significantly improving data integrity and reliability.
- Spearheaded the design of an enterprise data model, enabling a self-service BI environment that empowered business teams with advanced analytics capabilities.
- Developed and delivered insightful dashboards and reports in Power BI, transforming raw data into actionable business insights.
- Technologies: Azure Data Factory (ADF), Azure, MS-SQL, DataVault 2.0, Git, Power BI, data quality automation, Agile/Scrum, data modeling, self-service BI, stakeholder management.
André Siegert
Last position:
CEO at Cybo.Tech Advisory
Mehmet Ünüvar
Last position:
Director and Senior Project Manager at Peak Suisse
- Managing and steering consulting and implementation projects in the financial services sector
- Responsible for project scope, budget, and resources
- Coordinating with clients and stakeholders in Zug and Zurich
Viktors Dundurs
Last position:
IT Consultant at Dundurs Consulting GmbH
- Supporting the implementation of a digitalization project in the area of nutrient balancing
- Analyzing complex business processes and interfaces to surrounding systems (data flows, dependencies)
- Designing processes for data retrieval, storage, and sharing, including plausibility checks and validation logic
- Creating and prioritizing user stories and guiding developers in agile sprints (clarifying acceptance criteria, conducting technical reviews)
- Supporting the Product Owner in defining functional and technical requirements
- Participating in the rollout process and delivering training for stakeholders
- Documenting processes, requirements, and interfaces (including records/changes for releases)
Discover over 15,000 top freelancers
Statistics of experts using Data Quality
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.7 years
Positions per freelancer
11
Top business areas
Information Technology, Project Management, Quality Assurance
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Finance
Bachelor's degree or higher
91%
Master's degree or higher
82%
Doctorate
9%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
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 Switzerland 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 Switzerland using Data Quality
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 quality covers
Data quality keeps business data accurate, complete, consistent, timely, and usable. Specialists work on rules, checks, remediation flows, and ownership so teams can trust reports, analytics, and operational systems. It is often called DQ or data quality management.
Where it matters
- Customer and product master data
- Reporting and BI datasets
- ETL and ELT pipelines
- Warehouse and lakehouse layers
Bad source data spreads fast. Strong experts find the breakpoints, define clear validation logic, and prevent the same issue from returning in later loads or downstream dashboards.
Tools and methods
Data quality work often sits next to SQL, Python, dbt, Airflow, Spark, and warehouse tools such as Snowflake, BigQuery, or Databricks. Experts also use profiling, reconciliation, schema checks, and exception handling to make data flows dependable.
When companies bring in help
Teams often need outside specialists when data issues block a release, a migration, or a new reporting layer. That also happens after mergers, source-system changes, or cloud moves, when controls must be rebuilt without slowing delivery.
What strong experts deliver
- Clear data rules and test logic
- Root-cause analysis for recurring defects
- Monitoring for broken feeds and anomalies
- Practical fixes across source, transform, and target layers
Strong professionals do more than flag bad records. They make quality visible, define ownership, and leave teams with controls that fit real operations.
Working in Switzerland
In Switzerland, data quality experts often support regulated industries, finance, insurance, healthcare, and industrial companies with strict reporting needs. Many projects run smoothly in remote setups, while workshops or cleanup sessions may benefit from on-site time in German, French, or English depending on the team.
Frequently asked questions
Questions about Data Quality? Start with the answers below.
A strong Data Quality expert defines the rules that data must satisfy and then checks where those rules fail. The work includes profiling, validation, exception handling, and fixing root causes so the same issue does not keep returning.
No. Data Quality is the broader discipline that covers prevention, monitoring, governance, and remediation. Data cleansing is one part of it, focused on correcting or standardizing bad records.
A good Data Quality specialist usually works with SQL and Python, plus orchestration and transformation tools such as Airflow and dbt. Depending on the stack, they may also touch Snowflake, BigQuery, Databricks, or Spark.
Data Quality focuses on the rules, checks, and fixes that make data trustworthy. Data observability is more about monitoring pipelines and spotting anomalies early; in practice, the two often work together.
A Data Quality freelancer is a strong fit when you need targeted help for a migration, a warehouse rebuild, or a backlog of broken checks. They are also useful when internal teams know the symptoms but need an outside view on the root cause.
A strong Data Quality professional usually brings data modeling, ETL or ELT knowledge, and a solid grasp of source-to-target flows. Business communication matters too, because the best fixes often depend on clear ownership and practical sign-off from data users.
Yes. Much Data Quality work can be delivered remotely, especially rule design, profiling, and pipeline fixes. For Swiss teams, on-site sessions can still help when several business units need to align on definitions or data ownership.
A capable Data Quality expert can explain how they found a defect, how they traced it back to the source, and how they prevented repeat failures. Look for concrete examples of checks, controls, and remediation logic rather than vague claims about improving data.
The average hourly rate of freelancers in Switzerland who have used Data Quality in their recent projects is 128 €, which corresponds to a daily rate of about 1,027 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Data Quality in their recent projects, 91% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Switzerland who have used Data Quality in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Switzerland who have used Data Quality in their recent projects are English (100%), German (94%), and French (29%).
The most common industries among freelancers in Switzerland who have used Data Quality in their recent projects are Information Technology (82%), Professional Services (76%), and Banking and Finance (59%).
The most common business areas among freelancers in Switzerland who have used Data Quality in their recent projects are Information Technology (82%), Project Management (76%), and Quality Assurance (76%).
Main locations of FRATCH Experts, who have recently used Data Quality
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
