Data Quality Experts in Essen
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Meet FRATCH Experts in Essen, who have recently used Data Quality
Felix B.
Last position:
Digital Consultant and Solution Manager at Vorwerk SE & Co. KG
Launched a new digital product in the Chinese market as part of a global growth strategy.
Served as the link and coordinating interface between central product management, local Chinese teams and international stakeholders.
Managed the overall program to coordinate complex digital projects.
Successfully launched a digital product in China (including successful certification for the Chinese market).
Balanced local requirements with global priorities while taking tax and regulatory requirements into account.
Introduced a new way of working to improve collaboration and coordination across locations.
Developed and implemented a scaling strategy for the digital business model in China.
Used Jira, Confluence, Miro, Scrum, Agile ways of working, SAFe.
Project language: English.
Fadi S.
Last position:
Data Scientist at E-Commerce
- Designed and developed a production-ready data platform based on Microsoft Fabric for an e-commerce company
- Built a scalable Medallion Architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as the foundation for analytics and AI applications
- Developed a metadata-driven ETL platform with PySpark and a generic Incremental Loading Framework (SQL Server → Bronze → Silver → Gold)
- Developed reusable components for Microsoft Fabric Notebooks to standardize data integration, transformation, and validation
- Implemented automated data pipelines including monitoring, logging, error handling, and Delta MERGE strategies for stable production operations
- Built a business layer architecture for reporting, data warehousing, and reusable data products
- Integrated heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
- Worked closely with business departments to analyze business requirements and translate them into scalable data architectures
Technologies: Microsoft Fabric, PySpark, Python, SQL Server, Delta Lake, Lakehouse, OneLake, Data Factory, Data Warehouse, REST APIs, Amazon SP-API, Google Analytics 4
Abdulrahman S.
Last position:
Senior Business Intelligence Analyst at ELEMENT Insurance AG
- AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
- Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
- Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
- Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.
Stefanie P.
Last position:
Independent Consultant at Metamorphist
Managing complex technology-driven transformations at the intersection of strategy, organization and execution. Advising and leading in transformation and program contexts, with a focus on program and portfolio management, transformation governance and operating models, organizational design and realignment, operational excellence, and change and transformation enablement. Senior sparring partner for managing directors and executives, coordinating interdisciplinary stakeholders and experts, stabilizing complex programs, and translating strategic target visions into implementable structures, responsibilities and decision-making processes.
Arndt M.
Last position:
Project Manager for ServiceNow Vulnerability Response at Union Investment Services & IT GmbH
- Led the subproject for implementing Vulnerability Response as part of DORA
- Documented the current processes in compliance, risk & security
- Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
- Agile management of the integration service provider, the technical department, and the company's cross-functional teams
- Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
- Integrated GitLab Ultimate for importing and processing SBOMs
- Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
- Calculated multiple risk scores and priorities
- Defined dashboards and reports (Workspaces, Performance Analytics)
- Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)
Christoph Q.
Last position:
Self-employed contractor + consultant
- Strategic procurement of professional services and other indirect categories including negotiation, development of category strategies, and stakeholder management
- Bandwidth: Team lead – CPO
- Design and execution of large spend programmes
- Negotiation (preparation and execution)
- Determination of the organisational maturity grade and organisational development
- Process optimisation and KPI development
- Change management
- Collaboration with other procurement consultants such as GMVK Procurement, Efficio, McKinsey, BCG
- Liquidations: dissolving contracts, monetising assets, social compensation plan
- Industries: Automotive, Energy/Utilities, Health Care
- Company size: Corporates (DAX, MDAX), SMEs (50 – 1 000+ FTE), Start-ups
- Selected projects:
- Liquidated companies that once provided simulator services to German Nuclear Power Plants
- Optimised the procurement of professional services at a global logistics company
- Optimised the professional services procurement in the EMEA region at a global automotive group (MDAX)
- Consulted on a sales concept for selling medical devices to hospitals/GPOs
- Head of Procurement for medical consumables at a Group Procurement Organisation (procurement for hospitals)
- Managing Director of a truck service provider
Discover over 15,000 top freelancers
Statistics of experts using Data Quality
Aggregated from the professional profiles of matched freelancers.
Experience
21 years (Germany: 16 years)
Position duration
2.7 years (Germany: 3.1 years)
Positions per freelancer
14 (Germany: 10)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Banking and Finance, Energy, Healthcare
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
100% (Germany: 67%)
Doctorate
25% (Germany: 10%)
Certifications per freelancer
7 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Essen 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 Essen 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 5 Nov 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.
- Banking and Finance (100%)
- Energy (83%)
- Healthcare (67%)
- Information Technology (67%)
- Professional Services (67%)
- Retail (67%)
- Automotive (50%)
- Manufacturing (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Quality covers
Data Quality measures whether data is accurate, complete, consistent, timely, valid and fit for its intended use. It supports reliable reporting, customer records, analytics, automation and operational decisions. Data quality work can cover a single dataset, a shared data platform or controls across the full information lifecycle.
Core activities
Specialists combine investigation with practical remediation. They define business rules, trace data lineage, identify root causes and make quality visible through clear monitoring.
- Profile tables, files, APIs and event streams
- Detect duplicates, missing values and invalid formats
- Define validation rules and quality thresholds
- Track issues from discovery through resolution
Ecosystem and tooling
Data Quality connects closely with SQL, data warehouses, lakehouses, master data management and metadata platforms. Professionals may work with Great Expectations, Soda, dbt tests, Apache Griffin or vendor tools such as Informatica Data Quality and Talend Data Quality. They also use Python, SQL, orchestration tools and observability dashboards to automate checks.
Where companies use it
Quality controls matter wherever inaccurate information creates operational, financial or regulatory risk. Common settings include manufacturing, logistics, retail, healthcare, finance, insurance and public services. In Essen and across the Ruhr region, specialists may support industrial data, supply chains, customer systems or reporting landscapes while coordinating remotely or on site.
When freelance support helps
Companies often bring in freelance expertise during migrations, warehouse implementations, ERP changes, mergers or reporting failures. External specialists can establish a baseline, prioritize the most damaging defects and transfer repeatable practices to internal teams.
- A dashboard shows conflicting figures across source systems
- A migration exposes duplicates or missing historical records
- Data ownership and quality responsibilities are unclear
- Manual checks delay releases, reporting or customer processes
What strong specialists deliver
Strong professionals connect technical findings to business impact. They communicate with data owners, analysts and software teams, document assumptions and make rules maintainable rather than creating isolated scripts. A good engagement leaves behind tested controls, useful issue workflows, clear lineage and a practical operating model for ongoing data quality management.
Frequently asked questions
Need clarity? These are the questions we hear most often about Data Quality.
Data Quality is used to make information accurate, complete, consistent, valid and fit for business use. Companies apply it to customer data, financial reporting, supply chains, analytics, machine learning inputs and operational systems.
Data Quality is the broader discipline of measuring, governing and improving data throughout its lifecycle. Data cleansing focuses mainly on correcting or removing defective records, while quality work also covers profiling, validation, ownership, monitoring and prevention.
A capable Data Quality specialist usually works confidently with SQL, data profiling, data lineage and master data management. Experience with Python, dbt, Great Expectations, Soda, cloud warehouses, APIs or orchestration tools can be valuable depending on the environment.
The right Data Quality experience depends on scope, system complexity and the cost of bad information. A focused profiling assignment may need a hands-on specialist, while an enterprise programme also requires governance, stakeholder management, lineage and operating-model expertise.
Data Quality work is often suitable for remote collaboration because profiling, rule design and issue analysis use shared systems and documentation. On-site workshops in Essen can still help when specialists need to understand local processes, align data owners or work with restricted environments.
A strong Data Quality specialist explains how they would establish a baseline, connect defects to business impact and verify improvements. Ask for examples of durable rules, monitoring, root-cause analysis and collaboration with owners of source systems.
Data Quality sits at the intersection of data governance and data engineering. Governance defines ownership, standards and accountability, while engineering implements checks and remediation; effective work connects both with the needs of analysts and business teams.
A Data Quality engagement in Germany may involve sensitive customer, employee or operational information, so access controls and documented handling processes matter. Freelancers should clarify the data environment, language expectations, on-site needs in Essen and who owns decisions about rules and remediation.
The average hourly rate of freelancers in Essen, Germany who have used Data Quality in their recent projects is 114 €, which corresponds to a daily rate of about 913 € based on an 8-hour working day.
Of the freelancers in Essen, Germany who have used Data Quality in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Essen, Germany 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 Essen, Germany who have used Data Quality in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Essen, Germany who have used Data Quality in their recent projects are Banking and Finance (100%), Energy (83%), and Healthcare (67%).
The most common business areas among freelancers in Essen, Germany who have used Data Quality in their recent projects are Information Technology (83%), Product Development (67%), and Project Management (67%).
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.
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Munich 
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Frankfurt 
Stuttgart 
Dusseldorf 
Hanover 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
