Metadata Management Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Metadata Management
Philipp G.
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Justina K.
Last position:
Freelance Consultant for Change & Data Transformation at Freelance Fast Data Consulting
Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present
- Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
- Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.
Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025
- Concept development and solution design for new end-to-end processes including technical interfaces
- Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
- Analysis and validation of data models
- Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
- Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
- Documentation and comments on technical and business requirements to support implementation in agile squads
Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present
- Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
- Development of business solution concepts for migration to the target system, including system integration and data flows
- Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
- Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
- Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.
Giovanni L.
Last position:
Solution Architect at Nordea Bank
Consumer Cards Solution Architect
- Provided architectural leadership in Consumer Cards Domain establishing best practices and improving architectural transparency and maintainability by designing a structured documentation framework to enable reverse engineering of legacy card systems.
- Standardized architectural artefacts including BIAN Business Capabilities, UML diagrams in draw.io format (Use Case, Component, Sequence), naming conventions, document repository, design templates and blueprints, microservices.
- Produced high-level and low-level designs aligned with enterprise architecture governance processes and artefact standards.
- Provided architectural support to the Strategic Card Simplification Programme, focusing on card product migrations and application decommissioning across all countries. Agile environments (Scrum/SAFe).
- Analysed and designed AI use cases in the architecture domain.
Project: Payment Card Industry Data Security Standards (PCI DSS) Strategic Programme
- Analysed and documented existing data flows across card products and geographic regions to assess PCI DSS compliance.
- Identified areas involving sensitive data at rest and data in motion requiring encryption or masking, ensuring adherence to PCI DSS requirements.
- Collaborated with security, infrastructure, and application teams to align encryption strategies with regulatory and organizational policies.
- Provided strategic advisory services on data strategy, data governance, data management, data quality, data architecture, data mesh, MEGA HOPEX, DAMA-DMBOK, event-driven architecture, end-to-end data flows and card product harmonization models.
- Ensured solution design alignment with regulatory compliance (BCBS 239, DORA, GDPR) and internal policies.
Project: Denmark ATM Outsourcing Project
Objective: Outsource ATM operations and maintenance to a third-party provider while expanding the Denmark ATM fleet, with Nordea retaining ownership of ATMs and cash for the existing and extended infrastructure.
- Led a cross-functional delivery team (project management, business analysis, and architecture) and documented the as-is ATM ecosystem architecture, including end-to-end data flows, integrations, and internal/external application interfaces.
- Designed end-to-end processes for authorization, reconciliation, and settlement, aligning operating model, controls, and compliance requirements across Nordea and the outsourced service provider.
- Produced high-level and low-level solution designs using standardized UML artefacts (Use Case, Component, and Sequence diagrams) to support vendor onboarding, integration planning, and implementation.
- Ensured architectural alignment and decision-making across enterprise stakeholders and third-party providers, managing dependencies and interfaces in the context of the outsourcing initiative.
Simon K.
Last position:
Fullstack Developer at RTL Technology GmbH
- Development of a browser-based video logger for the automated enrichment of metadata to optimize video search and categorization in the company’s editorial tool. The platform enables editors to efficiently analyze video content and add additional information.
- AI-supported scene recognition for the automatic generation of video shots and time markers
- Automatic transcription and speech analysis for extracting relevant content
- Enhanced metadata management to improve search and archiving functions
- Event-driven architecture in the frontend (Angular, TypeScript)
- Backend integration (.NET) with video streaming and data processing
Enrico G.
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Hardeep B.
Last position:
Sr. Data Engineer at Charles Schwab Bank
- Designed and implemented end-to-end data pipelines (batch & streaming) using Python, SQL, and Apache Spark, Databricks on AWS reducing ETL latency by 40%.
- Developed serverless event-driven ingestion pipelines using AWS Lambda and SQS, ensuring real-time data availability for downstream analytics.
- Leveraged Google Cloud Platform (GCP) services including BigQuery and Dataflow to manage cross-cloud data warehousing and analytics integration.
- Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
- Managed and customized data pipelines using Databricks, Airflow. Automation using Docker, Kubernetes, Terraform.
- Automated data quality checks using dbt to modularize transformations and ensure production-grade data lineage, improving reliability by 30%.
- Collaborated with compliance teams to ensure GDPR and SOC2 alignment. Mentored junior engineers and contributed to architecture refactoring for scalability.
- Created and maintained dashboards in Power BI to provide actionable insights.
Bruno M.
Last position:
Enterprise Architect at Hornbach
- Lead enterprise architecture, data and AI strategy initiatives across business domains, value streams, SAP, cloud, integration, process intelligence and governance, aligning transformation roadmaps with strategic business outcomes.
- Define enterprise data and knowledge strategy across business domains and enterprise taxonomy, including knowledge graph, data governance with focus on ownership, metadata frameworks, business glossaries, data product orientation, interoperability and AI-enabling architecture.
- Shape AI governance and decision-intelligence strategy using autonomous enterprise concepts, including policies, guardrails, reference architectures and knowledge-based patterns for responsible AI adoption and enterprise knowledge reuse.
- Support SAP S/4HANA cloud migration strategy and evaluate the future SAP ecosystem, including SAP BTP, Integration Suite, Business Data Cloud, SAP Analytics Cloud and Datasphere.
- Drive architecture debt management, portfolio transparency and application rationalization through architecture principles, governance models, decision frameworks and LeanIX-based Enterprise Architecture Management.
- Align business architecture and process intelligence using Signavio to connect value chains, capabilities, processes, data strategy, knowledge flows and transformation roadmaps.
- Define operating models for data governance, architecture governance, cloud, integration, API management, AI governance and knowledge sharing.
- Act as trusted advisor to executive stakeholders and business domain leaders across product, sales, finance, logistics, customer care and shared services.
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Basem E.
Last position:
Head of Cloud & AI at VxLabs GmbH
- Led cloud and data engineering organization, defining architecture strategy for next-generation data platforms
- Designed and delivered an automotive fleet data management system including scalable ingestion pipelines, signal catalog management, and campaign processing workflows
- Built cloud-native microservices and streaming architectures supporting real-time vehicle data and AI-powered threat detection
- Established engineering standards for data quality, security, lineage, and governance in alignment with ISO/SAE 21434 and GDPR
- Managed engineering teams across data, backend, cloud, and AI functions, ensuring consistent delivery of high-quality, production-ready solutions
Robert W.
Last position:
Data Architecture Manager at Accenture
- Data Migration Engine / Data Migration from proprietary source systems to SAP/S4 (SAP S/4 HANA Migration cont.)
- Development data authorization Concept
- Conception of system architecture / data architecture / data integration – continuous extensions
- Development conceptional / logical (MDM) data Model - continuous extensions
Marco L.
Last position:
Senior IT Consultant | Cloud Data Engineer | Infrastructure Architect at Hannover Rück SE
Built an enterprise data lakehouse platform on Azure Databricks
Developed production data pipelines and governance structures
Implemented private cloud infrastructures using Terraform
Introduced modern CI/CD standards in Azure DevOps
Implemented secure IAM and governance concepts
Developed scalable PySpark and Delta Lake frameworks
Supported self-service analytics and data product approaches
Provided architecture and platform consulting for enterprise data initiatives
Built a central DataHub architecture for insurance data
Integrated multiple subsystems into a lakehouse platform
Introduced data governance and data lineage
Supported modern analytics and reporting standards
Optimized data delivery for business and analytics teams
Peter B.
Last position:
Data Warehouse Consultant (Development and Analysis) at Atruvia AG
- Developed and enhanced ETL loading jobs with IBM DataStage and optimized SQL in an IBM DB2 environment as part of the Agree21 data migration
- Analyzed data quality and developed test procedures
- Created PowerShell scripts and documented GIT deployment processes
- Technologies: RedHat Linux, IBM DB2 with DBVisualizer, IBM InfoSphere DataStage 11.7, JIRA, TortoiseGIT, TortoiseSVN, PowerShell scripts
Bharathi V.
Last position:
Senior Software Engineer (Individual Contributor) at European XFEL
- Electronic logbook app developed for research centers to maintain their investigations.
- Emphasizes user-driven organization of communication: experiment groups can configure information structure and notifications, while principal investigators maintain full access control.
- Real-time integration with the facility’s metadata catalogue, control system Karabo, and data analysis tool enables the automatic logging of key events, complemented by manual entries as needed.
Ammad T.
Last position:
Senior Data Architect at Makerverse
- Designed and implemented the company's end-to-end data architecture, including ingestion, modeling, and BI layers.
- Developed modular and reusable dbt models to support product, finance, and marketing analytics.
- Introduced data governance practices and metadata management, improving trust and discoverability across teams.
Sheraz K.
Last position:
Research Associate: Geospatial Data Infrastructure at Federal Environment Agency
- Management and further development of the geospatial data infrastructure
- Technical support
- Metadata management
- Consulting other departments
- Coordinating data flows with the European Environment Agency
- Open data
- Dashboards and visualizations
- Cloud-based solutions for process optimization
- Representation and participation in national and international committees and events
Discover over 15,000 top freelancers
Statistics of experts using Metadata Management
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.4 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Quality Assurance
Bachelor's degree or higher
93%
Master's degree or higher
60%
Doctorate
7%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
94%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany using Metadata Management
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Metadata Management 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 (81%)
- Professional Services (50%)
- Banking and Finance (38%)
- Government and Administration (38%)
- Automotive (31%)
- Insurance (31%)
- Retail (31%)
- Agriculture (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Metadata Management covers
Metadata Management organizes the information that describes data, including its meaning, ownership, origin, format, quality and permitted use. It creates a shared context for databases, files, reports, APIs and analytical assets. Enterprise Metadata Management helps companies find trusted data and understand how it moves through their systems.
What it helps build
Metadata practices support governed data platforms, searchable data catalogs and reliable reporting environments. They connect business terms with technical assets so teams can trace definitions, dependencies and changes.
- Business glossaries linked to technical metadata
- Data lineage from source systems to dashboards
- Catalogs for discovery, ownership and stewardship
- Metadata repositories for structured governance
Ecosystem and tooling
Specialists work across relational databases, data warehouses, lakehouses, integration tools and business intelligence systems. Depending on the environment, they may use catalog and governance products such as Collibra, Alation, Microsoft Purview, Atlan or Apache Atlas. Strong delivery also involves APIs, scanners, connectors, SQL and identity controls.
When companies need specialists
Companies often bring in freelance expertise during a data platform migration, catalog rollout or governance program. External support is useful when metadata is scattered across acquisitions, definitions conflict between departments or lineage is incomplete.
- A data catalog has low adoption or inconsistent ownership
- Reports use conflicting business definitions
- A migration needs impact analysis and traceability
- Privacy, access or retention rules need clearer context
What strong professionals deliver
Good professionals begin with the operating model, not the tool. They agree on business terms, ownership, classifications and quality rules, then map those decisions to technical metadata and workflows. They make lineage useful for analysts, stewards, security teams and executives rather than treating it as documentation alone.
Collaboration and lasting value
Metadata work depends on cooperation between data owners, platform teams, compliance specialists and business users. Freelancers should be able to explain technical dependencies in clear language and leave behind maintainable models, documented processes and measurable stewardship routines. In Germany, remote delivery can work well when workshops, access arrangements and language expectations are agreed early, while on-site sessions may help align distributed stakeholders.
Frequently asked questions
Key details about Metadata Management, drawn from the questions we get asked most.
Metadata Management describes and organizes data so people can find it, understand its meaning and assess its trustworthiness. It supports catalogs, business glossaries, lineage, ownership, impact analysis and governance across operational and analytical systems.
Metadata Management is the broader discipline covering models, processes, ownership, lineage and governance. A data catalog is one product or capability within that discipline, usually focused on discovery, search and documentation.
A strong Metadata Management specialist commonly understands data governance, data quality, lineage, SQL and integration patterns. Experience with cloud warehouses, lakehouses, APIs, identity controls and business intelligence also helps connect metadata to real workflows.
The required depth depends on the scope. A catalog configuration may need focused product expertise, while an enterprise Metadata Management program calls for experience with operating models, stakeholder alignment, migration planning and governance adoption.
Metadata Management is often suitable for remote collaboration because much of the work involves workshops, system analysis, configuration and documentation. On-site sessions can still be valuable when teams need to agree on definitions, ownership or governance responsibilities, and German or English language expectations should be settled early.
Look for clear definitions, traceable lineage, assigned ownership and workflows that users can maintain after handover. A capable Metadata Management professional also validates catalog content with business teams and demonstrates how the result improves discovery, impact analysis or governance decisions.
Metadata Management can span databases, data warehouses, lakehouses, file stores, APIs, transformation pipelines and reporting tools. The exact coverage depends on available connectors, scanning methods, permissions and the quality of technical and business source information.
A freelancer should clarify the target assets, business goals, source systems, access constraints, ownership model and preferred catalog or repository. For Metadata Management, it is also important to agree whether the deliverable is a technical inventory, a business glossary, lineage, governance workflows or a complete operating model.
The average hourly rate of freelancers in Germany who have used Metadata Management in their recent projects is 93 €, which corresponds to a daily rate of about 740 € based on an 8-hour working day.
Of the freelancers in Germany who have used Metadata Management in their recent projects, 93% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Germany who have used Metadata Management in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Metadata Management in their recent projects are English (100%), German (88%), and French (19%).
The most common industries among freelancers in Germany who have used Metadata Management in their recent projects are Information Technology (81%), Professional Services (50%), and Banking and Finance (38%).
The most common business areas among freelancers in Germany who have used Metadata Management in their recent projects are Information Technology (100%), Business Intelligence (94%), and Product Development (81%).
Main locations of FRATCH Experts, who have recently used Metadata Management
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
