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Data Quality Experts in Hamburg

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Hire experts who improve data accuracy, completeness and consistency across CRM, ERP and analytics systems. Work with specialists in profiling, validation rules, master data and automated quality checks, matched quickly to your needs from vetted, available freelancers.

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

Verified expert

Yashar S.

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Strategic IT and Process Consulting | Agile and Traditional Project Management | Cloud System Architecture

Hamburg
Yashar S.

Last position:

Compliance Consultant at RAS Reinhardt Maschinenbau GmbH

  • Designed and moderated a NIS2 preparation workshop for RAS Reinhardt Maschinenbau GmbH and its IT service provider Catuno GmbH. Together with executive management and IT leadership, the current status was assessed, an initial GAP analysis was conducted and areas for action were prioritized based on ISO 27001.
  • Developed an ISO-27001-based regulatory framework (ISMS) for NIS2 compliance, including a structured current/target GAP analysis, targeted improvement of the security maturity level and preparation of the organization for NIS2 audit readiness.
Verified expert

Christian F.

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IT Project Implementer (Problem Solver)

Buxtehude
Christian F.

Last position:

Department Head (Interim) at Municipal utilities and transport company

  • Defined and established the areas of responsibility
  • Built a governance model for the department and its areas of responsibility
  • IT strategy, project management, process management, and quality and sustainability management
  • Developed a communications strategy for the group
  • Created the IT strategy
  • Designed templates, guidelines, and processes for consistent ways of working
  • Recorded strategic guidelines and grouped ongoing projects – derived a roadmap for strategic planning
  • Reviewed ongoing projects
  • Prepared staffing calculations and capacity planning
  • Defined job profiles
Verified expert

Manfred B.

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Interim Manager as CIO and Managing Director

Ahrensburg
Manfred B.

Last position:

Interim Manager Managing Director

  • Optimization of business results and expansion of sales activities
  • Responsible for personnel organization
  • Introduction of a document management system (DMS)
  • Introduction and optimization of the ERP, CMS and CRM landscape
  • Introduction of digital signatures
  • Increase in revenue, reduction in costs and increase in EBIT
Verified expert

Thorsten B.

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Senior Software Engineer

Hamburg
Thorsten B.

Last position:

Senior Backend Engineer at VTG Rail Europe

traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.

As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.

  • Design and implementation of event-driven backend services.
  • Migration and replacement of legacy processing pipelines.
  • Development of replay / rebuild mechanisms for large event datasets.
  • High-throughput asynchronous event processing on SNS / SQS.
  • Database and query optimisation for PostgreSQL and DynamoDB.
  • Design of scalable read / write models and aggregation pipelines.
  • Production troubleshooting and operational support.
  • Performance tuning and infrastructure scaling.
  • Design and stabilisation of integration and system tests.
  • Technical concepts, architecture documentation, and cross-team collaboration.
  • Support the further development of existing GitLab CI/CD pipelines

Geofence & Wagon Stay Processing

  • Algorithm to detect vehicles within geofences (entry, exit, dwell time).
  • Event sourcing with guaranteed chronological order within the affected time window.
  • Refactored geofence event and wagon-stay processing logic for performance.
  • Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
  • Repair and replay tooling for corrupted or inconsistent movement data.

Fleet Metadata & Mileage

  • Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
  • Scalable mileage aggregation and replay mechanisms.
  • Read / write models and optimised queries for high-volume mileage calculations.

Sensor & Telematics Integration

  • Integrated telemetry and sensor processing pipelines.
  • Snapshot and state-calculation logic for sensor systems.
  • APIs and persistence models for wagon sensor data; data-quality improvements.
  • Further development of a service using gRPC for intra-service communication.

Movement Segment Processing & Routing

  • Migrated services to new movement-segment event streams.
  • Built replay and rebuild tooling for segment correction.
  • Optimised throughput and reliability for high-volume event processing.

Condition Monitoring & Wagon Analytics

  • APIs and backend services for wagon condition monitoring.
  • Brake-wear prediction processing and wagon analytics functionality.
  • PostgreSQL views and optimised query models for operational dashboards.

Operational Reliability - First Responder

  • Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
  • Tuned database performance and AWS infrastructure under production load.
  • Improved observability, monitoring and operational tooling.
  • Supported rollout strategies, monitoring and post-deployment stabilisation.
Verified expert

Vinod G.

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SAP MDG Consultant

Moorrege
Vinod G.

Last position:

Freelancer: SAP MDG Consultant at Logistics service provider

  • Support for one of the largest logistics service providers in handling ServiceNow tickets in the areas of SAP MDG, Business Partner (BP), customer and supplier master data
  • Technical analysis and resolution of tickets through in-depth review of various database tables
  • Creation and maintenance of accounting clerks in the system
  • Deactivation of company codes using transports
  • Carrying out mass changes with LSMW (Legacy System Migration Workbench)
Verified expert

Heena P.

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AI Researcher

Hamburg
Heena P.

Last position:

Retirement Spend & Tax Optimizer Agentic AI App (Vibe Coding) at Personal Project

Self-directed exploration of agentic AI development methods, taken from idea to a working, publicly usable application

  • Built an interactive planning tool for modelling retirement withdrawals and tax strategy using an agentic AI (vibe coding) development approach – demonstrating self-directed investigation of new AI-assisted development methods
  • Delivered live, tax-aware spending projections and adjustable user inputs; shipped as a free, install-free browser application built in Python, with attention to usability for non-technical users
Verified expert

Hemangi T.

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Enterprise AI Strategy & Business Transformation Leader | AI Strategy Technology Governance | Procurement Operating Model |

Hemangi T.

Last position:

Founder & Principal Advisor at ProcureSynth

  • Built an independent advisory practice on 18 years of enterprise procurement delivery at Infineon, Accenture, Bosch, Siemens and Lufthansa Group — including programmes for organisations managing €1B–3B annual spend and teams of 100+ across 20+ countri...
Verified expert

Serkan U.

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Manager Finance, Risk & Regulatory Reporting

Hamburg
Serkan U.

Last position:

Manager Finance, Risk & Regulatory Reporting at movisco AG

  • Project leadership and management
  • Implementing reporting solutions in banks
  • Enhancing and optimizing reporting processes in bank finance and risk departments
  • Consulting through all phases of regulatory requirement implementation, including requirements analysis, defining business requirements, testing, tool development, and audit-compliant documentation
  • Supporting regulatory implementation projects
  • Analyzing business requirements and implementing reports
  • Acting as a liaison between business and IT
  • Publishing on regulatory changes
  • Training internal colleagues on regulatory topics
Verified expert

Marleen K.

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Atlassian Specialist E2E Processes

Hamburg
Marleen K.

Last position:

Atlassian Specialist E2E Processes at Energy, Water and Environment

  • Atlassian & Business expert
  • Lead of 1st, 2nd and 3rd level support, process mapping, process optimization, introduction of a project standard (global user management and documentation) and development of a collaboration platform to optimize teamwork, data management, reporting, ERP transformation
  • The client is a sustainability-focused chemical park and offers its employees a full service for the Atlassian product suite. In addition, the adoption of the ERP software by employees, the improvement of data quality and internal exchange or collaboration should be promoted by sharing knowledge and best practices
  • Process and standards development
  • Project configuration and creation of technical concepts
  • Workshops with employees
  • Development of scalable solutions and processes and their optimization/automation
  • Coordination with department process owners and management
  • Process mapping and further development
  • Data migration and data mining
  • Lead as Scrum Master
  • Dashboard for project management with project overview / development of reporting structures
Verified expert

Shahram D.

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IT Project Manager, Data Analyst & Consultant

Hamburg
Shahram D.

Last position:

IT Project Manager & Consultant (Concept and implementation of EU regulations) at Witt Group / Otto Group

  • Planning, steering, and monitoring the Corporate Responsibility Tech Enablement project for IT
  • Concept and implementation of the EUDR (EU Deforestation Regulation)
  • Concept and implementation of the Eco-Design Regulation
  • Continued support of projects within the Corporate Responsibility strategy
  • Definition and review of guidelines (e.g. governance, success metrics) and, if needed, analysis of issues and their solutions
  • Overall project management, marketing, communication, and quality assurance for the projects
  • Creation of the project plan including timeline/roadmap, budget, and resources
  • Ensuring compliance with budget and deadlines
  • Defining guidelines for project control, methods, and priorities
  • Planning and tracking resources and effort, also together with other IT teams
  • Evaluation of projects and preparation of results (reporting to management)
  • Identification and reduction of risks
  • Regular communication with stakeholders
  • Steering internal and external stakeholders and service providers (Jira, Confluence, backlog management, task tracking, SharePoint, MS 365 platform etc.)
  • Development of standards and process automation

Label: Azure Cloud, Jira, Confluence, Power BI, SAP BW, AWS, Miro, Bee360, Draw.io, SharePoint, MS 365 platform, Trello etc.

Verified expert

Jenny L.

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Product Manager – Data & Sustainability

Hamburg
Jenny L.

Last position:

Product Manager – Data & Sustainability at shipzero GmbH

  • Designed and implemented an initial product management framework

  • Created a process for prioritizing the product roadmap with internal stakeholders, considering business impact, resources, and technical feasibility

  • Led the migration to a product discovery tool to improve transparency and cross-team collaboration

  • Served as a liaison between tech and business teams

  • Managed data-driven sustainability projects for the largest key account, including implementing regulatory reporting (ISO 14083) on greenhouse gas emissions

  • Delivered complete data integration across 20+ source systems, coordinating onboarding and translating business requirements into technical specs for the development team

  • Enhanced the client's emission tracking and reporting accuracy through data quality analyses and identifying optimization opportunities

Verified expert

Adriana V.

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Board Member – Data Governance & Digital Strategy

Hamburg
Adriana V.

Last position:

Board Member – Data Governance & Digital Strategy at IWCA Germany e.V.

  • Co-founded the German chapter of the International Women's Coffee Alliance, contributing to strategic vision development and organizational structuring for international development initiatives
  • Optimized internal workflows and reduced administrative overhead through systematic process analysis and documentation
  • Designed and implemented governance frameworks and data governance standards to support ESG compliance and transparency requirements for NGO operations
  • Developed comprehensive data strategy to enhance data quality, transparency, and reporting capabilities across international stakeholder network
Verified expert

Nikolas R.

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Senior Solution Strategist & Data Architect | For scalable processes instead of legal roadblocks | CIPT Certified

Hamburg
Nikolas R.

Last position:

Data Protection Coordinator for Online-Services and Tracking-Technology at Telefónica Germany GmbH & Co. OHG

As a bridge between Legal, IT, and Marketing, my responsibilities include conducting technical due diligence, documentation, and designing privacy-compliant IT functions across multiple B2P Telefónica Germany brands as part of the RAITT digitalization program. Focused on aligning web and app services with GDPR, TDDDG, and Privacy by Design & Default principles.

Core responsibilities included analysing and visualising data flows across customer journeys, validating tracking and martech integrations, and supporting IT teams in designing privacy-compliant digital architectures. Delivered documentation for internal legal assessments and maintained OneTrust governance and cookie-banner accuracy.

Services and technologies involved:

  • Identity & Authentication: CIAM (OAuth2, OIDC), login and session handling, customer account services
  • Analytics & Measurement: Google Analytics (GA4), Google Tag Manager (Server-side Tagging & Data Stream Design), event tracking and tagging
  • Advertising & Attribution: Google Ads, Google DoubleClick / Campaign Manager, Meta Pixel, affiliate partner integrations
  • Experience & Personalisation: Adobe Experience Manager (AEM), Adobe Target, Adobe Experience Platform (AEP), Adobe Edge Network
  • Security & Delivery: Cloudflare (CDN), PayPal FraudNet
  • Compliance & Governance: OneTrust CMP, consent categories, cookie governance, TDDDG-compliant banner logic
  • General web/app services: partner APIs, data transfers, tracking schemas, consent-dependent data activation
Verified expert

Saba M.

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IT Business Analyst

Hamburg
Saba M.

Last position:

IT Business Analyst at United Bank Limited

  • Gathered and analyzed User Requirements Documents (URDs), authored Functional Specification Documents (FSDs), and synchronized backlog with dev and QA teams to maintain focused release scope.
  • Led gap analysis of EDMS (OpenText, FileNet) and RPA PoC (UiPath, Blue Prism), projecting 10% cost savings in document handling and improved screening accuracy.
  • Monitored sprint progress, presented roadmap status in technical reviews to C-level executives, and facilitated stakeholder alignment.
  • Developed user stories and epics to drive project execution and ensure alignment with business objectives.
  • Championed Agile methodologies, enhancing team collaboration and iterative delivery.

Discover over 15,000 top freelancers

Statistics of experts using Data Quality

Aggregated from the professional profiles of matched freelancers.

Experience

18 years (Germany: 16 years)

Data Quality experts in Hamburg have 18 years of professional experience on average. It is 2 years more than in Germany, where the average stands at 16 years.

Position duration

2 years (Germany: 3 years)

Data Quality experts in Hamburg stay in a single position for 2 years on average. It is 1 year less than in Germany, where the average stands at 3 years.

Positions per freelancer

12 (Germany: 10)

Data Quality experts in Hamburg have completed 12 positions on average over the course of their careers. It is 2 more than in Germany, where the average stands at 10.

Top business areas

Information Technology, Business Intelligence, Project Management

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

Top industries

Information Technology, Banking and Finance, Transportation

Data Quality experts in Hamburg are most in demand in Information Technology, Banking and Finance, and Transportation.

Certification focus areas

Information Technology, Project Management, Business Intelligence

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

Bachelor's degree or higher

94% (Germany: 95%)

94% of Data Quality experts in Hamburg hold at least a Bachelor's degree. It is 1% lower than in Germany, where the rate stands at 95%.

Master's degree or higher

69% (Germany: 68%)

69% of Data Quality experts in Hamburg hold at least a Master's degree. It is 1% higher than in Germany, where the rate stands at 68%.

Doctorate

13% (Germany: 11%)

13% of Data Quality experts in Hamburg have a doctorate (PhD). It is 2% higher than in Germany, where the rate stands at 11%.

Certifications per freelancer

3

Data Quality experts in Hamburg hold 3 professional certifications on average.

Most common languages

German, English, Spanish

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

Speak two or more languages

100% (Germany: 98%)

100% of Data Quality experts in Hamburg speak two or more languages. It is 2% higher than in Germany, where the rate stands at 98%.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 2 4 6 8
One of the Data Quality experts in Hamburg charges less than €480 per day.
One of the Data Quality experts in Hamburg charges between €480 and €640 per day.
5 of the Data Quality experts in Hamburg charge between €640 and €800 per day.
6 of the Data Quality experts in Hamburg charge between €800 and €960 per day.
3 of the Data Quality experts in Hamburg charge between €960 and €1120 per day.
2 of the Data Quality experts in Hamburg charge €1120 or more per day.
<€480 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of freelancers in this technology in Hamburg 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 Hamburg 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. 847 €
Germany avg. 790 €

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 €
Germany median 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 19 Sep 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 (84%)
  • Banking and Finance (47%)
  • Transportation (47%)
  • Professional Services (37%)
  • Automotive (32%)
  • Manufacturing (32%)
  • Advertising (26%)
  • Media and Entertainment (26%)

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 fit for its intended use. It examines accuracy, completeness, consistency, validity, uniqueness and timeliness across operational and analytical systems. Data quality management combines profiling, controls, remediation and ongoing monitoring rather than treating errors as a one-off cleanup task.

Where It Is Used

Companies apply data quality practices wherever unreliable records create operational risk or weaken decisions.

  • Customer and supplier master data
  • CRM, ERP and product information
  • Data warehouses, lakes and reporting layers
  • Regulatory, financial and operational reporting
  • Migration, merger and system integration projects

Tools and Methods

Professionals work with SQL, spreadsheets, data profiling tools and observability platforms, alongside data catalogs and lineage systems. They may use Great Expectations, dbt tests, Monte Carlo, Informatica, Talend or cloud-native validation services. The right approach connects automated checks with ownership, definitions and remediation workflows.

When Expertise Helps

Freelance expertise is useful when quality problems cross several systems or internal teams lack the capacity to investigate root causes. In Hamburg, specialists often support logistics, commerce, manufacturing, finance and other data-intensive operations, collaborating remotely or on site with local stakeholders.

  • Establish quality dimensions and business rules
  • Profile data sources and locate recurring defects
  • Design cleansing, matching and deduplication processes
  • Set up monitoring, alerts and ownership models

What Strong Specialists Deliver

Strong professionals connect technical findings to business impact. They document source-to-target mappings, define measurable rules, test edge cases and distinguish a real defect from a legitimate exception. They also leave behind maintainable checks, clear documentation and a process for resolving issues at the source.

Choosing the Right Fit

Look for experience with the systems, data domains and delivery stage involved in the assignment. A migration needs reconciliation and mapping skills, while an analytics program may need testing, lineage and observability. Ask how the specialist has handled sensitive data, gained agreement on definitions and shown that quality improved without disrupting daily operations.

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Frequently asked questions

Everything clients usually want to know about Data Quality, in one place.

Data Quality is used to determine whether data is accurate, complete, consistent, valid, unique and timely enough for a business purpose. Specialists apply it to customer records, product data, financial reporting, operational workflows and analytics pipelines.

Data Quality is the broader discipline, covering measurement, rules, monitoring, ownership and remediation. Data cleansing is one activity within it, focused on correcting, standardizing or removing defective records.

A strong Data Quality specialist often brings SQL, data modeling, master data management, ETL or ELT knowledge and data governance experience. Familiarity with APIs, cloud warehouses, data catalogs, lineage and automated testing is also valuable.

The required depth depends on the scope, systems and consequences of poor data. A focused validation task may suit a specialist with targeted experience, while enterprise-wide Data Quality work calls for someone who can lead profiling, rule design, remediation and stakeholder alignment.

Data Quality work can often be delivered remotely because profiling, rule design and documentation use shared systems. On-site collaboration in Hamburg can help when workshops, data ownership decisions or access to operational teams are central to the assignment.

Ask for examples of defects they found, rules they introduced and how they verified the outcome. A capable Data Quality professional explains trade-offs clearly, protects sensitive information and links technical checks to business definitions rather than relying on a generic toolset.

Data Quality projects may use SQL, dbt tests, Great Expectations, Informatica, Talend, Monte Carlo, data catalogs and cloud validation services. Tool choice depends on the data stack, control requirements, operating model and whether checks must run during pipelines or after ingestion.

A Data Quality specialist should clarify the business purpose, critical data elements, source systems, access conditions and definition of an acceptable record. It is also important to agree on ownership, remediation responsibilities, delivery boundaries and how findings will be documented for teams in Hamburg or elsewhere.

The average hourly rate of freelancers in Hamburg, Germany who have used Data Quality in their recent projects is 106 €, which corresponds to a daily rate of about 847 € based on an 8-hour working day.

Of the freelancers in Hamburg, Germany who have used Data Quality in their recent projects, 94% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 13% hold a doctorate.

On average, freelancers in Hamburg, Germany who have used Data Quality in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2 years.

The most common languages among freelancers in Hamburg, Germany who have used Data Quality in their recent projects are German (100%), English (100%), and Spanish (21%).

The most common industries among freelancers in Hamburg, Germany who have used Data Quality in their recent projects are Information Technology (84%), Banking and Finance (47%), and Transportation (47%).

The most common business areas among freelancers in Hamburg, Germany who have used Data Quality in their recent projects are Information Technology (95%), Business Intelligence (84%), and Project Management (68%).

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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Philipp Thomaschewski

FRATCH CEO

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