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Find experienced

Data Quality Experts in Zurich

to make critical data reliable, with fast AI matching

Hire experts who profile datasets, define validation rules and build monitoring workflows across warehouses, CRM systems and regulated data environments. FRATCH matches you quickly with vetted, available freelancers whose skills fit your Data Quality project.

Meet FRATCH Experts in Zurich, who have recently used Data Quality

Verified expert

Patrick B.

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Senior Software Engineer

Zürich
Patrick B.

Last position:

Senior Software Engineer at On AG

  • Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
  • Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
  • Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
  • Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
  • Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
  • Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
  • Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Verified expert

Charles S.

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Data & Analytics Product Manager | AI-Augmented Data Products | Executive BI Delivery | Financial Services

Zürich
Charles S.

Last position:

Data Delivery Lead at Westpac

  • Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
  • Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
  • Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
  • Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
  • Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Verified expert

Lenka P.

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Enterprise HR Project Manager | Workday Solution Architect

Zürich
Lenka P.

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.
Verified expert

Monika E.

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Tax Specialist

Oberengstringen
Monika E.

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
Verified expert

Gwang Jin K.

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Data Scientist / Applied AI, Automation & Data Systems Researcher

Zürich
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
Verified expert

Max M.

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Qualtrics CXM Solutions Expert

Zürich
Max M.

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

Verified expert

Dariusz K.

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Business System Analyst

Zürich
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

Verified expert

Steven I.

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Manager | SAP S/4HANA Finance & RE-FX

Zürich
Steven I.

Last position:

Lead Consultant Finance, Controlling & Real Estate Management

Greenfield – S/4HANA (since January 2026 Post Merger)

Functional responsibility at the interface between Finance, Controlling and Real Estate Management in an S/4HANA transformation in the context of an announced merger

Key areas:

  • Introduction of Lease Accounting according to IFRS 16 as the initial focus
  • Design of integrated processes in leasing, real estate and Finance integration
  • Cost Allocation and cost accounting in Controlling
  • Expansion of the role to serve as the functional link between Finance, Controlling and RE-FX in the merger context
Verified expert

Viktors D.

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IT Consultant

Baar
Viktors D.

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)
Verified expert

Udo W.

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Performance Improvements

Zurich
Udo W.

Last position:

Julius Bär

Application ownership and further development of test user management (TUM)

Areas of responsibility: Application ownership (Application Ownership / ITSO), application management, incident management, deployment / release management, requirements management, prioritization, further development, automation, and interface management

Technologies: SQL Server, Python, GitLab, UC4, Lieberman, Linux

Responsible for the operation and continuous development of a central application for managing more than 5.000 technical test users and their data.

Gathered and assessed business requirements, independently prioritized further development, and planned and coordinated implementation using agile methods and PI Planning, in close collaboration with the relevant business units and IT teams.

Expanded the central SQL Server database with additional information about test and real users, and integrated further applications through defined interfaces. The modular application used Python-based processing components, with execution and workflows controlled through UC4. This enabled data from different source systems to be automatically transferred, processed, and made available, as well as new test users to be created automatically.

Ensured reliable application operations and continuously optimized and automated existing processes.

Application ownership, modernization, and migration of incident management (TRANT)

Areas of responsibility: Application ownership (Application Ownership / ITSO), application management, incident management, deployment / release management, requirements management, software modernization, migration, interface integration, and quality assurance

Technologies: UC4, Jira, SQL Server, Oracle, Java, Python, Lieberman, Linux, Jai

Responsible for the operation and development of an application that automatically records, processes, and forwards technical incidents in various test environments.

Automated the creation of Jira incident tickets when UC4 workflows were blocked, including routing them to the relevant application managers.

Modernized the application by migrating from Java to Python, moving the database from Microsoft SQL Server to Oracle, and replacing the Jenkins scheduler with UC4.

Integrated the Jira API and used the bank's internal AI solution Jai to support code migration and subsequent validation. Independently and critically reviewed AI-generated results for business and technical accuracy.

Shift lead for operations control in test environments

Areas of responsibility: Monitoring various test systems

Technologies: UC4, TSO, HOST, Azure-Cloud

Responsible for monitoring and controlling automated processing workflows in various test environments, including systems running in the Azure-Cloud.

Monitored UC4 and HOST workflows and analyzed and handled incidents. When processing workflows were blocked, Jira tickets were automatically created through TRANT and assigned to the relevant application owners. In coordination with them, affected jobs were restarted or stopped as needed. HOST processes were also monitored and controlled through OPC.

A multi-shift operation was introduced to ensure stable and as continuous as possible testing.

Test data anonymization manager

Areas of responsibility: Planning/anonymizing/publishing production data for test systems

Technologies: UC4, Informatica (PowerCenter and IDMC)

To ensure test environments could run with real data, production databases were cloned regularly. Production data had to be untraceable in test environments. For this reason, the cloned databases were first anonymized with Informatica PowerCenter and later with Informatica IDMC. Critical tables and columns in the various databases (Oracle, SQL-Server, MongoDB) had to be identified and analyzed at the data level. Rules for handling critical data were agreed with the application owners.

Verified expert

Daniel S.

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Senior Manager

Bellikon
Daniel S.

Last position:

Senior Manager at devpoint GmbH

  • Concept development, requirements engineering, and implementation support for a Dubai-based company integrating processes into a CRM
  • Business analysis and requirements engineering at Swisscom for the integration of a marketing planning tool at Swisscom
  • 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 and process digitization at GIB Solutions AG
  • Process designer and prototype developer for an AI-based solution for a real estate property marketing system in Dubai
  • Ad interim head of the ICT department at a telecommunications company, reorganizing and optimizing processes with 5 people 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
  • Concept, setup, and development of an intelligent refrigerator, IoT, hardware, software
  • Setup of devpoint's Nearshore offering ALoHA
Verified expert

Peter W.

View profile

IT Consultant

Wallisellen
Peter W.

Last position:

IT Consultant at WYP-Consulting

Discover over 15,000 top freelancers

Statistics of experts using Data Quality

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

Data Quality experts in Zurich have 21 years of professional experience on average.

Position duration

2.3 years

Data Quality experts in Zurich stay in a single position for 2.3 years on average.

Positions per freelancer

10

Data Quality experts in Zurich have completed 10 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Project Management

Data Quality experts in Zurich have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Banking and Finance, Professional Services

Data Quality experts in Zurich are most in demand in Information Technology, Banking and Finance, and Professional Services.

Certification focus areas

Information Technology, Project Management, Product Development

Data Quality experts in Zurich earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

90%

90% of Data Quality experts in Zurich hold at least a Bachelor's degree.

Master's degree or higher

40%

40% of Data Quality experts in Zurich hold at least a Master's degree.

Doctorate

10%

10% of Data Quality experts in Zurich have a doctorate (PhD).

Certifications per freelancer

2

Data Quality experts in Zurich hold 2 professional certifications on average.

Most common languages

German, English, Spanish

Data Quality experts in Zurich most often speak German, English, and Spanish.

Speak two or more languages

92%

92% of Data Quality experts in Zurich speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
9% of Data Quality experts in Zurich charge less than €480 per day.
9% of Data Quality experts in Zurich charge between €640 and €800 per day.
36% of Data Quality experts in Zurich charge between €800 and €960 per day.
45% of Data Quality experts in Zurich charge €960 or more per day.
<€480 €640-​800 €800-​960 €960+

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 Quality

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 867 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

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 Quality 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%)
  • Banking and Finance (77%)
  • Professional Services (54%)
  • Insurance (38%)
  • Manufacturing (38%)
  • Education (31%)
  • Government and Administration (31%)
  • Telecommunication (31%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Quality covers

Data Quality is the discipline of making data accurate, complete, consistent, timely, valid and fit for its intended use. It covers profiling, cleansing, validation, enrichment and ongoing control across databases, applications, warehouses and reporting layers.

What it enables

Reliable data supports trusted analytics, customer records, financial processes and operational decisions. Specialists help teams turn unclear quality problems into measurable rules and repeatable controls.

  • Profile fields, tables and source systems
  • Detect duplicates, missing values and invalid formats
  • Define quality rules and acceptance criteria
  • Trace issues from reports back to their source

Ecosystem and tooling

Data Quality work often connects SQL, Python, data warehouses, ETL and ELT pipelines, master data management and metadata catalogs. Professionals may also use observability, lineage and governance tools, while data cleansing and data quality management are common search terms for the same field.

When companies need specialists

Freelance expertise is useful when a migration exposes inconsistent records, a new reporting program needs trusted inputs or data products require stronger controls. It also helps when internal teams know the symptoms but lack time to investigate root causes.

  • Reconcile data between source and target systems
  • Prepare customer or product data for migration
  • Establish ownership for critical data elements
  • Monitor quality failures in recurring pipelines

What strong professionals deliver

Strong professionals connect business definitions with technical checks. They document assumptions, separate source defects from transformation errors and make results understandable to data owners, analysts and engineering teams.

They deliver rule libraries, profiling reports, issue workflows, remediation plans and monitoring dashboards. They also know when automated cleansing is safe and when a business decision is required.

Working in Zurich

Zurich teams may apply Data Quality controls to banking, insurance, healthcare, retail and public-sector information, often across multilingual stakeholders and strict internal governance. A freelancer should be able to work remotely or on site, communicate clearly in the team’s working language and collaborate with data owners as well as technical specialists.

Before starting, agree on critical datasets, access boundaries, ownership, measurable quality dimensions and the handover format. That creates a practical scope and makes improvement visible without treating every data issue as the same problem.

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Frequently asked questions

What clients ask us most about Data Quality — answered in short.

Data Quality is used to ensure that information is accurate, complete, consistent, valid and timely enough for a business purpose. Companies apply it to customer data, financial records, product catalogs, analytics pipelines, migrations and operational reporting.

Data Quality focuses on whether data meets defined conditions and can be trusted for use. Data governance sets ownership, policies and decision rights, while data observability focuses on detecting changes and failures across data systems; the disciplines often work together.

A strong Data Quality specialist often brings SQL, data profiling, ETL or ELT knowledge, Python, metadata management and data lineage experience. Familiarity with master data management, cloud warehouses and business process mapping is also valuable.

The right Data Quality experience depends on scope, system complexity and the cost of errors. A focused profiling or cleansing assignment may need a specialist who can work independently, while enterprise controls require experience with governance, stakeholder alignment and production monitoring.

Data Quality work is often suitable for remote collaboration because profiling, rule design and documentation can be performed securely online. Zurich companies should still clarify access controls, workshop expectations, time-zone overlap and whether German or another team language is required.

A well-scoped Data Quality engagement can produce a current-state assessment, profiling results, documented rules, issue priorities and a remediation plan. Depending on the project, the specialist may also deliver pipeline checks, dashboards, ownership definitions and handover documentation.

Ask how the Data Quality specialist distinguishes symptoms from root causes and how they measure improvement without hiding exceptions. Strong answers cover business definitions, sampling, reproducible checks, lineage, stakeholder ownership and clear documentation.

Data Quality becomes more demanding when records support financial, healthcare or other controlled processes. The specialist must balance accuracy and completeness with access restrictions, auditability, retention rules and carefully documented decisions.

The average hourly rate of freelancers in Zurich, Switzerland who have used Data Quality in their recent projects is 108 €, which corresponds to a daily rate of about 867 € based on an 8-hour working day.

Of the freelancers in Zurich, Switzerland who have used Data Quality in their recent projects, 90% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 10% hold a doctorate.

On average, freelancers in Zurich, Switzerland who have used Data Quality in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.3 years.

The most common languages among freelancers in Zurich, Switzerland who have used Data Quality in their recent projects are German (92%), English (92%), and Spanish (38%).

The most common industries among freelancers in Zurich, Switzerland who have used Data Quality in their recent projects are Information Technology (85%), Banking and Finance (77%), and Professional Services (54%).

The most common business areas among freelancers in Zurich, Switzerland who have used Data Quality in their recent projects are Information Technology (92%), Product Development (69%), and Project Management (69%).

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.

Countries:

Zurich Geneva Basel Bern

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