Metadata Management Experts in Germany
matched in minutes with vetted, available specialistsHire experts who design data catalogs, connect lineage across complex environments, and establish governance workflows for trusted information. FRATCH finds the right vetted and available freelancer through fast, precise AI matching.
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.
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
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.
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
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
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
Mirsad P.
Last position:
Media monitoring expert at European Institute for the Media, Düsseldorf
- Definition of media monitoring strategy
- Training of local media monitoring teams
- Creation of simple software solutions for specific media monitoring
- Reporting of monitoring results
Enrico G.
Last position:
Freelance Software & Data/AI Engineer at Freelance Software & Data/AI Engineer
- Lecturer for the GenAI Track at Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product imports with intelligent column and category classification (4-layer hierarchy), including human-in-the-loop validation
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
2.5 years
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Business Intelligence, Quality Assurance
Bachelor's degree or higher
93%
Master's degree or higher
57%
Doctorate
7%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
93%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany 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 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 29 Oct 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 (80%)
- Professional Services (53%)
- Automotive (33%)
- Banking and Finance (33%)
- Government and Administration (33%)
- Retail (33%)
- Agriculture (27%)
- Education (27%)
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, quality, format, and permitted use. It creates a shared context for databases, files, APIs, reports, and machine learning assets. Enterprise metadata management helps teams discover and trust data across a fragmented estate.
Catalogs and Lineage
A data catalog gives people a searchable view of available data and its business meaning. Lineage shows where information comes from, how it changes, and which reports or processes depend on it. Strong implementations connect technical metadata with business glossaries, classifications, stewardship roles, and quality signals.
Ecosystem and Tooling
Metadata specialists work across warehouses, lakes, integration tools, governance suites, and analytics platforms. Common work includes configuring catalog products, building metadata ingestion, and connecting technical systems through APIs or scanners.
- Data catalogs and business glossaries
- Lineage, impact analysis, and ownership
- Schema discovery and metadata harvesting
- Governance workflows and access context
When Expertise Matters
Companies bring in freelance specialists when data estates grow faster than their documentation, when migrations obscure dependencies, or when users cannot find reliable information. They also help during governance programs, platform consolidation, mergers, and regulatory reviews. In Germany, specialists may need to align distributed teams across German and English documentation practices.
Skills Strong Specialists Bring
Strong professionals understand data modeling, SQL, APIs, ETL and ELT pipelines, cloud storage, and identity controls. They can translate between data stewards, security teams, analysts, and platform owners. The best work combines careful taxonomy design with practical automation, clear ownership, and adoption support.
How Quality Is Judged
A sound metadata program makes assets easier to find without creating an unmaintainable manual process. Look for consistent definitions, traceable lineage, useful search results, reliable integrations, and workflows that keep ownership current. A capable specialist explains trade-offs, tests connections against real systems, and leaves behind documentation that teams can operate.
Frequently asked questions
Key details about Metadata Management, drawn from the questions we get asked most.
Metadata Management describes and organizes data so people and systems can find, understand, govern, and use it correctly. It supports catalogs, business glossaries, lineage, ownership, classification, impact analysis, and data quality processes across an organization.
Metadata Management is the broader discipline covering policies, ownership, lineage, standards, and operating processes. A data catalog is one important interface within that discipline, usually used to search assets and view their definitions, relationships, and governance context.
A strong Metadata Management specialist usually understands data modeling, SQL, ETL and ELT, APIs, cloud warehouses, data lakes, identity, and access controls. Experience with data governance, information architecture, and change management is also valuable because metadata programs depend on people as well as tooling.
The right level depends on scope, source-system variety, and the maturity of existing governance. A focused catalog integration may need a specialist who can configure tools and pipelines, while an enterprise program requires someone who can shape taxonomies, ownership models, lineage, and adoption across teams.
Metadata Management is often suitable for remote collaboration because discovery, configuration, documentation, and workshops can happen online. On-site sessions may still help with sensitive environments, stakeholder alignment, or access restrictions, while German and English communication requirements should be agreed early.
A data catalog or governance suite may connect to relational databases, cloud warehouses, lake storage, BI tools, and pipeline systems. Specialists may also use scanners, APIs, lineage extractors, workflow tools, business glossary features, and custom integrations when standard connectors are not enough.
Ask for evidence of useful definitions, accurate lineage, clear ownership, dependable integrations, and workflows that remain current after handover. For Metadata Management, quality is not just a populated catalog; it is whether users can find trusted data and understand its context without excessive manual effort.
A Metadata Management specialist should clarify the systems in scope, source access, target users, governance goals, ownership model, and success criteria. It is also important to confirm whether the work covers tool implementation, taxonomy design, lineage, operating processes, training, or a combination of these areas.
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, 57% 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 2.5 years.
The most common languages among freelancers in Germany who have used Metadata Management in their recent projects are English (100%), German (93%), and French (20%).
The most common industries among freelancers in Germany who have used Metadata Management in their recent projects are Information Technology (80%), Professional Services (53%), and Automotive (33%).
The most common business areas among freelancers in Germany who have used Metadata Management in their recent projects are Information Technology (100%), Business Intelligence (93%), and Product Development (80%).
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
