Metadata Management Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Metadata Management
Philipp Grunert
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 Kmiecik
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.
Marco Lindner
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
Enrico Goerlitz
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 Bhutter
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.
Ashkan Zadeh
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 Elasioty
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 Wieland
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
Peter Brungs
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 Vanganuru
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 Tarar
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 Khan
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 Puskar
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
Discover over 15,000 top freelancers
Statistics of experts using Metadata Management
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.5 years
Positions per freelancer
10
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, Audit
Bachelor's degree or higher
92%
Master's degree or higher
67%
Doctorate
8%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
92%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Metadata management brings order to data definitions, ownership, lineage, and access rules. It helps companies make sense of data across warehouses, lakes, BI tools, and operational systems. Strong work here reduces confusion and makes data easier to trust.
Where it helps
- Data catalog and business glossary setup
- Lineage mapping for reports and pipelines
- Data ownership and stewardship models
- Classification for sensitive or regulated data
Common tools
The stack often includes Collibra, Alation, Apache Atlas, Microsoft Purview, and Informatica. The right specialist knows how these tools fit with cloud data platforms, ETL jobs, BI layers, and IAM controls. They also know when a process problem matters more than a tool choice.
When companies need help
Teams usually bring in freelance expertise when metadata is scattered, new platforms are being rolled out, or governance work has stalled. In Germany, this often comes up in regulated industries, shared service centers, and international data programs that need clear English and German documentation. Remote work is common, but on-site sessions help when many teams must align on terms.
What strong specialists do
Strong professionals do more than configure a tool. They map business terms to technical assets, set naming and stewardship rules, and make lineage usable for analysts and auditors. They also keep metadata current so the catalog does not become stale after the first rollout.
What good delivery looks like
Good metadata management is practical. It gives users a place to search, shows where data comes from, explains who owns it, and makes policy visible where people work. The best specialists balance governance with adoption, so teams use the catalog instead of working around it.
Frequently asked questions
Key details about Metadata Management, drawn from the questions we get asked most.
Metadata management is used to organize the meaning, origin, ownership, and use of data across systems. It helps teams find trusted datasets, understand report logic, and trace data back to its source. That is useful when data lives in many tools and every team uses it differently.
A metadata management program is broader than a data catalog. A catalog is usually the visible layer for search and discovery, while metadata management also covers lineage, stewardship, definitions, policies, and technical integration. Many companies use a catalog as the front end for the wider effort.
Metadata management work often uses Collibra, Alation, Apache Atlas, Microsoft Purview, and Informatica. The best choice depends on the existing data stack, governance model, and how much automation the team needs. A strong specialist can work across more than one tool when the environment is mixed.
A strong Metadata Management freelancer should understand data modeling, governance, lineage, access control, and change management. They also need to translate business terms into technical rules and work with analytics, engineering, and security teams. Clear documentation matters as much as configuration.
A metadata management project can start with one specialist if the scope is focused, such as one catalog rollout or one domain glossary. Larger programs need someone who has handled governance design, stakeholder alignment, and adoption problems before. The key is practical delivery, not just tool knowledge.
Yes, Metadata Management is often delivered remotely, especially for catalog design, governance workshops, and tooling setup. In Germany, remote work is common when teams are spread across locations or business units. On-site sessions can still help when local teams need fast agreement on terms and ownership.
A good metadata management specialist shows clear examples of lineage, glossary, stewardship, and operational adoption. Look for work that improved search, ownership, and consistency across systems, not just a tool installation. Strong candidates also explain how they kept metadata current after launch.
The most common problem in Metadata Management is treating it as a one-time setup. If ownership, review routines, and business input are missing, the catalog becomes outdated fast. Another issue is using technical terms only, which makes the system hard for non-technical users to trust.
The average hourly rate of freelancers in Germany who have used Metadata Management in their recent projects is 91 €, which corresponds to a daily rate of about 731 € based on an 8-hour working day.
Of the freelancers in Germany who have used Metadata Management in their recent projects, 92% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Germany who have used Metadata Management in their recent projects have 18 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 (92%), and French (23%).
The most common industries among freelancers in Germany who have used Metadata Management in their recent projects are Information Technology (77%), Professional Services (46%), 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 (92%), and Product Development (77%).
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
