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Data Quality Expert

to turn unreliable data into trusted decisions, matched in minutes with vetted professionals

Hire experts who profile datasets, define validation rules, and improve data pipelines across CRM, ERP, analytics, and master data environments. Get precise access to vetted, available freelancers who fit your Data Quality requirements quickly.

Meet FRATCH Experts who have recently used Data Quality

Verified expert

Jens L.

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Interim Product Manager , Product Lead | B2B Platforms | AI Integration

Hamburg
Jens L.

Last position:

Consulting Digital Development & Transformation at European Mar GmbH

Developed the product vision and outcome strategy for a new registry platform, designed a management workshop for strategic alignment, conducted BPMN process mapping across systems and roles, analyzed user story practices and further developed them on an outcome basis, and brought together stakeholders from business departments, management and the external development partner.

Skills: Product Strategy, Outcome Roadmapping, Stakeholder Workshops, BPMN/Process Analysis, Miro, Linear

Verified expert

Michael H.

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Interim Manager | Project & Transformation Manager | Agile Coach

Schönau am Königssee
Michael H.

Last position:

Interim Head of IT / Transformation Manager at A German medium-sized industrial distributor, B2B e-commerce

Agile Transformation: introducing agile principles and transforming traditional IT departments into Scrum and Kanban teams

IT Operating Model: redesigning the IT organization and introducing modern delivery structures and roles

Flight Levels: building up Flight Levels practices within IT to align strategy, coordination and operational execution

Leadership & Coaching: recruiting Agile Coaches and coaching Scrum Masters and IT leaders

ERP Operations: acting as Interim Product Owner for the existing ERP landscape and ensuring business continuity

ERP Transformation: reorganizing and supporting the ERP migration as a Project Manager; Phase 1 (financial accounting) live since October 2025

Operational Core (ERP): establishing dedicated teams for ERP Support, Feature Development, and ERP Migration

Modern Workplace: initiating the transition towards a Microsoft 365-based cloud workplace environment

Integration: establishing a dedicated team to drive integration and connectivity initiatives

Warehouse Operations: building a cross-functional team to support logistics and warehouse-related capabilities

Maintenance & Operations (M&O): introducing a dedicated team for system engineering, security, stable operations and continuous improvement

AI Initiatives: identifying and promoting practical Artificial Intelligence use cases across the IT department

As Interim Head of IT for a German medium-sized industrial distributor, I am responsible for 31 IT employees and lead the digital and organizational transformation, reporting directly to executive leadership. I took over an IT department with almost no basic structures – no clear roles, processes, documentation or ticket system – and with significant technical debt that tied up most of its capacity. Introduced agile principles and ways of working in the IT organization and transformed the traditionally structured IT department into cross-functional Scrum and Kanban teams focused on transparency, collaboration, and customer value delivery.

Redesigned the entire IT organization by establishing a modern operating model, introducing new roles such as Product Owner, Scrum Master and Solution Architect and strengthening the organization through strategic hiring and targeted capability development. Recruited and onboarded Agile Coaches to accelerate the transformation and personally managed and coached Scrum Masters as well as IT department leaders to foster servant leadership, self-management and a culture of continuous improvement.

Aligned IT-internal planning across eight teams to three Flight Levels based on Klaus Leopold (strategy, coordination, team), laying the foundation for later company-wide portfolio management. Consolidated the backlog of more than 10 workstreams and prioritized it by business value and cost of delay. Introduced a ticketing system to increase transparency and enable data-driven decision-making, flow-based work management, and greater accountability at all levels.

Established and supported multiple cross-functional teams, including the Operational Core (ERP) domain with dedicated streams for Support, Feature Development and ERP Migration, as well as teams responsible for Warehouse Operations, Maintenance & Operations (M&O) including system engineering and security, Modern Workplace, Data Quality and integration initiatives. Worked closely with Agile Coaches to support team development, remove impediments, and continuously improve delivery effectiveness.

Acted as Interim Product Owner for the operation and enhancement of the existing ERP landscape while supporting the ERP migration as a Project Manager. Reorganized the project organization and had the already negotiated contract with the implementation partner realigned with a focus on approach and overall responsibility; Phase 1 (financial accounting) has been live since October 2025. Collaborated with the selected implementation partner to design and establish the project organization and target operating model for the ERP transformation, introducing agile delivery structures and ways of working. Facilitated the alignment between business, IT and the external vendor and played a key role in negotiating the contractual framework and delivery model to ensure a sustainable foundation for the transformation program.

Initiated the strategic modernization of the workplace environment through the adoption of Microsoft 365 cloud capabilities, establishing the foundation for enhanced collaboration, scalability and future digital services.

Launched AI initiatives to identify practical business use cases and promote the responsible adoption of Artificial Intelligence across the IT department. Encouraged self-management and empowered teams to take ownership of decisions, delivery and continuous improvement.

Verified expert

Fadi S.

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Operational AI & Data Engineering Consultant

Oberhausen
Fadi S.

Last position:

AI-Engineer at Recruitment Agency

  • Design, development, and productive rollout of an Enterprise HR Copilot based on Microsoft Copilot Studio to automate internal HR processes
  • Development of an AI-supported assistant for answering employee inquiries based on a SharePoint knowledge base and internal company HR documentation
  • Integration of the Copilot into Microsoft Teams, including welcome logic, user guidance, and role-based routing
  • Automation of HR processes and approval workflows with Microsoft Power Automate to reduce manual processing steps
  • Development of realistic HR documents and response templates with Azure OpenAI, taking business requirements and consistent company policies into account
  • Implementation of prompt strategies, knowledge management, and response optimization to improve response quality and user acceptance
  • Close collaboration with business departments to analyze requirements and integrate the AI solution into existing company processes

Technologies:

Microsoft Copilot Studio, Microsoft Teams, Azure OpenAI, SharePoint, Power Automate, Power Platform, Microsoft 365, Prompt Engineering, Workflow Automation

Verified expert

Alexander F.

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My profile as CFO & Executive Finance and Controlling Manager

Willich
Alexander F.

Last position:

Freelance Business Consultant and Interim Manager at A. Folch von Sydow INTERIM MANAGEMENT

Advising various companies in the areas of controlling, finance and planning, transformation, business partnering, management reporting and AI-driven forecasting systems

Verified expert

Oliver V.

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Interim Manager and Management Consultant

Hamburg
Oliver V.

Last position:

Interim Manager and Management Consultant at Self-employed

  • Developed a market entry strategy for the claims division of an insurance services provider.
  • Analyzed and optimized existing claims processes.
  • Defined management metrics and KPIs to improve performance and efficiency.
  • Advised management on market positioning and process digitalization.
  • Led an IT team of 13 employees as part of an interim vacancy cover.
  • Ensured stable IT operations and managed external IT service providers.
  • Led regulatory projects, particularly the implementation of the DORA regulation.
  • Prepared and supported an IT security audit.
  • Change management and conflict moderation in a challenging transformation environment (FI migration).
Verified expert

Amit S.

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Senior IT Project Manager | IT Transformation | Program & Delivery Management

Düsseldorf
Amit S.

Last position:

IT Project Manager – SAP S/4 HANA Delivery Consultant at CHG Meridian UK Limited

  • Managed the integrated SAP S/4HANA delivery plan for 12 BTS workstreams, including milestone, dependency, and governance management.
  • Coordinated end-to-end delivery across Business, IT, and Operations, focusing on execution, readiness, and issue resolution.
  • Responsible for RAID, test, cutover, and deployment management to ensure a successful go-live.
  • Implemented KPI tracking, status reporting, and PMO governance to provide transparent management of performance, risks, and escalations.
Verified expert

William N.

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Senior/Lead Business Analyst & AI Workflow Consultant | Requirements Engineering | BI | Workflow Automation | Claude Code

Berlin
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

Verified expert

Fred K.

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Interim Executive Manager | CRO · COO · SVP | Defence, Cybersecurity and Digital Restructuring of Safety-Critical Operations

Glienicke/Nordbahn
Fred K.

Last position:

Project Manager Digital Restructuring at Northrop Grumman LITEF GmbH

Assignment focus: Leading digital restructuring in a highly regulated Defence and Aerospace environment. Focus areas: improving data flows and data quality, introducing paperless data collection in production, integrating machine data for automatic SPC calculation and process control, as well as cybersecurity analyses.

Main objectives:

  • Analyze, structure and improve data flows and data quality in production
  • Introduce paperless data collection in manufacturing areas
  • Integrate machine data for automatic SPC data calculation and process control
  • Implement digital restructuring while meeting regulatory requirements in the Defence environment

Measures and results:

  • Analyzed and structured existing production data flows as a basis for control and reporting
  • Established mechanisms to ensure data quality and availability across manufacturing areas
  • Introduced paperless data collection in production — replacing manual and paper-based processes
  • Integrated machine data for automatic SPC data calculation (control charts, Cp/Cpk) and real-time process control
  • Conducted cybersecurity analyses in the production and IT environments

Area of responsibility: Project management for digital restructuring, paperless production, data management and data quality in a highly regulated Defence and Aerospace environment.

Verified expert

Elisabeth W.

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COO / Chief Transformation Officer in Consumer Goods

Munich
Elisabeth W.

Last position:

Executive Advisor | Business Potential & Strategy Implementation & Managing Partner at Wesse Consult

European business consultancy helping consumer goods and FMCG companies unlock untapped potential, define winning strategies, and execute with precision and measurable impact.

  • Analyzing business challenges with ~20% effort to drive ~80% output, ensuring clear priorities, structures and actionable recommendations that deliver rapid, measurable results.
  • Driving holistic Operations and business transformation, cost efficiency, customer focus, go-to-market strategy and KPI-driven performance.
  • Acting as a trusted C-Level advisor and sparring partner to turn strategy into measurable results; helping CEOs, founders and leadership teams in businesses of all sizes to strengthen growth and profitability.
Verified expert

Vadim R.

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Senior Product Owner & IT Project Manager | Mobile Banking · PSD2 · AI Product Development | 19M+ Users | Frankfurt · Remote

Frankfurt am Main
Vadim R.

Last position:

Independent AI Product Lab – Agentic Product Owner / Product Builder | R&D

  • Hands-on development of AI-native product prototypes with specialized AI agents for research, requirements, business logic, UX/flow design, test case generation and quality assurance.
  • Structured use and orchestration of AI agents through clearly defined roles, inputs/outputs and handover points; breaking down complex product tasks into verifiable work packages and iterative prototyping cycles.
  • Establishment of human-in-the-loop quality gates to validate AI-generated results for functional correctness, consistency, completeness and feasibility; targeted rework cycles in case of deviations.
  • Development of a regulatory GenAI/rules prototype for CRD VI with a structured decision flow, web UI, rule-based validation and automated test cases; iteration of the business logic through to a pilot-ready POC.
  • Design of an AI-to-Action banking prototype: AI intent → consent → bank/product logic → conversion including admin console; translating the product idea into MVP scope, role model, user flows and clickable prototypes.
Verified expert

Markus B.

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Consultant, Technical Project Manager

Bergheim
Markus B.

Last position:

Consultant, Technical Project Manager at Lanxess

  • Project: ESU Windows and SQL Server Consolidation / Configuration Management in ServiceNow
  • Prepared an as-is analysis of all servers worldwide
  • Prepared an as-is analysis of all SQL servers worldwide
  • Conducted requirements analyses for SQL and server migrations
  • Coordinated requirements with partners for migrations to Hyper-V (on-premises) or Azure Cloud
  • Facilitated regular status meetings (Jour Fixe)
  • Developed roadmaps and solution models for server migrations
  • Set up test scenarios
  • Facilitated workshops for the rollout of a global admin team
  • Designed data models (CMDB) in ServiceNow
  • Led workshops for the CMDB data model
  • Developed solution models for the CMDB
  • Created end-to-end configuration documentation and work instructions for the CMDB
  • Prepared reports for license management
  • Defined KPIs for data quality in ServiceNow
  • Created a service catalog
  • Facilitated workshops to define service requests
  • Acted as interface between requirements analysis and the ServiceNow development team
  • Systems used: Windows 7, Windows 10, Microsoft Office 365/2010, Windows Server 20xx, SQL Server 20xx, SharePoint, Azure Cloud, Hyper-V, ServiceNow, various tools
Verified expert

Thomas P.

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Project Manager, Product Owner & AI Consultant, AI Transformation - ERP · Shop · Marketing

Leipzig
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

Verified expert

Ebru A.

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Business Analyst | Project & Product Manager | PMO | CRM & Salesforce | MarTech | SaaS & Rollout Management | Digital

Darmstadt
Ebru A.

Last position:

Product Analytics & App Tracking Consultant at EnBW mobility+ AG & Co. KG

  • Product Analytics, Mobile App Tracking & Tracking Governance (B2C Mobility App) – agile project management (Scrum/Kanban)
  • Product Ownership for Product Analytics and Mobile App Tracking of the EnBW mobility+ app; gathering, prioritizing, and translating business requirements into actionable concepts and Azure DevOps user stories with acceptance criteria.
  • Derivation of tracking requirements when introducing new app features (including Resilient Map), definition of tracking parameters (screens, events, custom definitions), and ensuring privacy-compliant tracking (Firebase, GA4, Adjust) based on the tracking concept.
  • Design and adaptation of dashboards and funnel reporting for campaigns (GA4 validation, onboarding and order flow analyses, conversion funnels, charging start flow) to identify drop-off points and optimization potential.
  • Management of the technical raw data export (Adjust to BigQuery) and connection to the data warehouse/data lakehouse, including data mapping; collaboration with international development teams, Data Engineering, Marketing/Sales, and Product Management.
  • Establishment of standardized tracking architecture, naming conventions, and governance; analysis and expansion of tracking (new features and “blind spots”), test design, handover to testers, and quality assurance and approval before releases; documentation in Conceptboard.
Verified expert

Eric B.

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Quality Manager / Test Manager / Senior Test Analyst / Senior Data Analyst / Statistical Programmer

Kelkheim (Taunus)
Eric B.

Last position:

Quality Assurance Manager (QSV) at Federal Employment Agency

  • Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.

  • Defining the general guidelines in the QA handbook

  • Summarising test results in QA reports for PLA

  • Analysing project results for improvement opportunities

  • Quality management of requirements analysis (particularly processes, methods, and tools)

  • Ensuring compliance with SERA requirements

  • Creating a cross-project test concept

  • Agreeing on sprint completion reports

  • Formal review of work results in accordance with requirements and/or the project plan

  • Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)

  • Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

Discover over 15,000 top freelancers

Statistics of experts using Data Quality

Aggregated from the professional profiles of matched freelancers.

Experience

16 years

Data Quality experts have 16 years of professional experience on average.

Position duration

3 years

Data Quality experts stay in a single position for 3 years on average.

Positions per freelancer

10

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

Top business areas

Information Technology, Business Intelligence, Project Management

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

Top industries

Information Technology, Professional Services, Banking and Finance

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

Certification focus areas

Information Technology, Project Management, Business Intelligence

Data Quality experts earn their certifications most often in Information Technology, Project Management, and Business Intelligence.

Bachelor's degree or higher

95%

95% of Data Quality experts hold at least a Bachelor's degree.

Master's degree or higher

68%

68% of Data Quality experts hold at least a Master's degree.

Doctorate

10%

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

Certifications per freelancer

3

Data Quality experts hold 3 professional certifications on average.

Most common languages

German, English, French

Data Quality experts most often speak German, English, and French.

Speak two or more languages

98%

98% of Data Quality experts speak two or more languages.

Based on our profile pool as of 16 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
7% of Data Quality experts charge less than €400 per day.
38% of Data Quality experts charge between €400 and €800 per day.
45% of Data Quality experts charge between €800 and €1200 per day.
7% of Data Quality experts charge between €1200 and €1600 per day.
3% of Data Quality experts charge €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of experts in this technology 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 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. 786 €

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 16 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 (75%)
  • Professional Services (50%)
  • Banking and Finance (41%)
  • Manufacturing (38%)
  • Retail (34%)
  • Automotive (33%)
  • Energy (24%)
  • Transportation (22%)

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 measuring, improving, and maintaining the fitness of data for business use. Specialists examine accuracy, completeness, consistency, timeliness, validity, and uniqueness across operational and analytical systems. The work turns scattered records into data people can trust.

Typical Use Cases

Companies bring in Data Quality expertise when critical information is duplicated, incomplete, outdated, or contradictory between systems.

  • Profile customer, product, supplier, and transaction data
  • Detect duplicates, missing values, and invalid formats
  • Standardize names, addresses, codes, and reference data
  • Monitor quality rules in reporting and data platforms
  • Prepare datasets for migration, analytics, or machine learning

Ecosystem And Tools

Data Quality work connects source applications with data warehouses, lakes, integration layers, and governance programs. Professionals may use SQL, Python, spreadsheets, ETL and ELT tools, data catalogs, observability products, and master data management systems. They also work with validation frameworks and automated pipeline checks.

When To Hire Specialists

Freelance specialists are useful during system migrations, mergers, CRM cleanups, regulatory data reviews, and analytics launches. They can establish a baseline, prioritize remediation, and transfer repeatable controls to internal teams. In Germany and other markets, remote collaboration is common, while workshops may still benefit from on-site or local-language support.

What Strong Professionals Deliver

A strong professional combines investigation with practical remediation. They trace defects to their source instead of correcting symptoms in reports, document business definitions, and make quality rules testable. Clear ownership, measurable checks, and useful exception workflows matter as much as the cleanup itself.

  • Data profiling with clear findings and priorities
  • Reusable validation and monitoring rules
  • Safe cleansing with documented transformations
  • Quality dashboards that support accountable decisions

Skills To Evaluate

Look for experience with the systems that hold your most important data and with the outcomes your project requires. Relevant adjacent skills include data governance, master data management, metadata management, SQL, pipeline design, privacy controls, and business analysis. Ask candidates to explain how they protect source data, validate changes, and prove that quality has improved.

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Frequently asked questions

Quick answers to the questions that come up most around Data Quality.

Data Quality is used to make information accurate, complete, consistent, valid, unique, and timely enough for a defined business purpose. Companies apply it to customer records, finance data, product catalogs, operational systems, reporting, and machine learning inputs.

Data Quality is a broader management discipline than data cleansing. Cleansing corrects or removes problematic records, while Data Quality also covers profiling, rules, monitoring, ownership, prevention, and ongoing measurement.

Data Quality work often overlaps with data governance, master data management, metadata management, SQL, ETL or ELT design, and data observability. Strong specialists also understand the business definitions behind fields and can work with system owners to resolve root causes.

Data Quality projects vary with the number of source systems, the condition of the records, and the impact of errors. A focused profiling or cleanup assignment may need a narrower skill set, while enterprise governance and monitoring require experience across architecture, processes, and stakeholder groups.

Data Quality work is often suitable for remote collaboration because profiling, rule design, documentation, and dashboard reviews happen in shared systems. On-site workshops can help when specialists must map processes with business teams or access restricted environments, and local language skills may matter for field definitions and stakeholder interviews.

Data Quality expertise is best assessed through a concrete example of profiling, root-cause analysis, remediation, and monitoring. Ask how the specialist defines acceptable quality, avoids damaging valid records, documents transformations, and demonstrates that controls continue to work.

Data Quality deliverables commonly include a profile of key datasets, a defect and impact analysis, business rules, cleansing logic, exception handling, and monitoring documentation. The specialist should also explain ownership and provide practical handover materials for ongoing control.

Data Quality requires more than validation when errors originate in upstream processes, unclear definitions, or duplicated ownership. Validation can flag a problem, but lasting improvement may require changes to source applications, master data processes, governance decisions, and pipeline design.

The average hourly rate of freelancers who have used Data Quality in their recent projects is 98 €, which corresponds to a daily rate of about 786 € based on an 8-hour working day.

Of the freelancers who have used Data Quality in their recent projects, 95% hold at least a Bachelor's degree, 68% hold at least a Master's degree, and 10% hold a doctorate.

On average, freelancers who have used Data Quality in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3 years.

The most common languages among freelancers who have used Data Quality in their recent projects are German (98%), English (97%), and French (15%).

The most common industries among freelancers who have used Data Quality in their recent projects are Information Technology (75%), Professional Services (50%), and Banking and Finance (41%).

The most common business areas among freelancers who have used Data Quality in their recent projects are Information Technology (87%), Business Intelligence (67%), and Project Management (61%).

Main locations of FRATCH Experts, who have recently used Data Quality

Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.

In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.

Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.

Zurich Geneva Basel Bern

Countries:

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FRATCH CEO

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