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Customer Data Platform Experts in Munich

for trusted customer journeys, matched in minutes with vetted freelancers

Hire experts who unify customer data, design identity resolution, and activate audiences across marketing, service, and commerce tools. Get precise access to vetted, available freelancers matched to your Customer Data Platform needs quickly.

Meet FRATCH Experts in Munich, who have recently used Customer Data Platform

Verified expert

Andreas B.

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Partner / Co-Founder

München
Andreas B.

Last position:

Partner / Co-Founder at Nexarro

  • Launched and leading a new venture in consulting & digital transformation.
  • Supporting clients in transforming their organisations, scaling growth strategies, building digital operating models, and creating future proof organisations.
Verified expert

Yannik S.

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Freelance - IT Data Project Manager

Aschheim
Yannik S.

Last position:

Freelance - IT Data Project Manager at Messe München GmbH

  • Integrated data from various sources into the Datawarehouse using Microsoft SQL Server, ensuring data integrity and optimizing performance
  • Developed and implemented multiple data visualization solutions in PowerBI, Excel, and Looker Studio, focusing on scalability and efficiency
  • Managed close stakeholder relationships, ensuring consistent communication and understanding of data needs
  • Conducted thorough requirement analysis to align with business objectives
  • Led cross-functional teams to deliver data-driven projects on time
Verified expert

Boris A.

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Owner and Manager

München
Boris A.

Last position:

Owner and Manager at UBITEQ.io

  • Management of digital business
  • Design, build and run solutions based on ubiquitous technologies
Verified expert

Jennifer K.

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AI Product Manager and Engineer

Munich
Jennifer K.

Last position:

AI Product Manager and Engineer at Human-in-the-Loop Studio

  • Architected and built a GenAI-based automated asset-generation tool for social media campaigns using Nano Banana and Python. It takes a campaign brief, target audience, and two products as input, generates optimized prompts for image and text creation, and uses functions for text positioning, visually appealing overlays, resizing, and structured uploads to AWS S3.
  • Engineered and built a multi-agent news intelligence platform with specialized roles including retriever agents (Tavily web scraping), synthesizer agents, and Claude as curator/orchestrator, designing autonomous agent collaboration patterns using LangChain and RAG.
  • Built an autonomous customer service agent using n8n and LLMs, delivering end-to-end support automation with transparent reasoning, governance controls, and scalable workflow orchestration using Python and vector databases.
  • Developed a financial validation engine featuring ML-powered anomaly detection for invoice plausibility, compliance automation, and risk mitigation using TensorFlow and SQL.
  • Created a cost optimization application using OCR, AI, Pandas, and NumPy for data analysis to identify cost optimization potential.
Verified expert

Markus F.

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Global Director B2B SaaS and Digital Growth

München
Markus F.

Last position:

Global Director B2B SaaS and Digital Growth at Metyis GmbH

  • Set up the go-to-market for Metyis DE by defining productized offerings that enabled onboarding of 5+ enterprise clients
  • Successfully ran client projects, like ramping up the global marketplace business at a European consumer electronics company and scaling the DACH operations of two Dutch e-commerce and a German B2B nutrition business
Verified expert

Philip S.

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CEO & Owner

München
Philip S.

Last position:

CEO & Owner at Scheibl GmbH

  • Optimization of strategic and operational processes for improved best practice
  • Digital transformation to Data Driven Marketing, cyber security, fraud protection
  • Digital communication solutions in online marketing to visualise and increase competencies, performance components, brand presence and competitive differentiation
  • BI, tracking and financial model optimisation
  • Knowledge promotion and synergy networking in the business process and implementation
  • Go-to-market strategy
  • API and data automation development
  • UTM parameters and performance KPIs
  • Technologies: MS Power BI, Adobe Analytics, Datorama, Tableau, Qlik, Google Analytics, Salesforce, Braze, Adobe Experience Cloud, FSCM, SOC and SIEM analytics, API, DWH, CDH
Verified expert

Bhanu A.

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Freelance Salesforce CRM and Marketing Cloud Expert

Munich
Bhanu A.

Last position:

Freelance Salesforce CRM and Marketing Cloud Expert at Arkplus

  • Engage with stakeholders across departments to identify and document business needs, goals, and objectives.
  • Conduct interviews, workshops, and surveys to gather comprehensive requirements for Salesforce solutions.
  • Configure Salesforce products such as Sales Cloud, Service Cloud, Marketing Cloud, Health Cloud, and Data Cloud to align with the company's requirements.
  • Analyze existing business processes and identify opportunities for improvement and automation within the Salesforce platform.
  • Build campaigns, automation and journeys, data management, API and integrations, scripting and customization, analytics and reporting, introduction of generative AI capabilities.
  • Develop custom applications using Apex, Visualforce, and Lightning Components; create and customize Salesforce objects, workflows, validation rules, and triggers; implement custom user interfaces using Lightning Web Components (LWC).
  • Develop training materials and conduct training sessions to ensure effective user adoption of Salesforce solutions.
  • Provide ongoing support to end-users, addressing issues and ensuring they are proficient in using Salesforce tools.
  • Create and execute test plans, including unit testing, integration testing, and user acceptance testing (UAT).
  • Identify and resolve issues, ensuring that Salesforce solutions meet business requirements and quality standards.
  • Design and implement customized reports and dashboards to provide actionable insights and support data-driven decision-making and product delivery.
Verified expert

Nikolay T.

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Senior Cloud Data Architect

Unterhaching
Nikolay T.

Last position:

Senior Cloud Data Architect at Cloudreach/Eviden (an ATOS Company)

  • Architected a self-service Google Kubernetes Engine (GKE) platform for a major financial institution (Commerzbank), enabling 1000+ users across hundreds of product teams to autonomously provision resources and significantly accelerate development cycles.
  • Designed a data-product-oriented platform architecture for the UK Department for Transport (DfT) to serve over 1500 direct end-users and numerous connected third-party systems, enhancing data accessibility and governance.
  • Drove business growth by developing the strategic roadmap for the 'One Cloud' business line, targeting a 10% revenue increase.
  • Served as a key member of the CTO Authority, providing strategic guidance on internal cloud initiatives and best practices.

Discover over 15,000 top freelancers

Statistics of experts using Customer Data Platform

Aggregated from the professional profiles of matched freelancers.

Experience

20 years

Customer Data Platform experts in Munich have 20 years of professional experience on average.

Position duration

3 years

Customer Data Platform experts in Munich stay in a single position for 3 years on average.

Positions per freelancer

7

Customer Data Platform experts in Munich have completed 7 positions on average over the course of their careers.

Top business areas

Information Technology, Business Intelligence, Marketing

Customer Data Platform experts in Munich have gathered most of their hands-on project experience in Information Technology, Business Intelligence, and Marketing.

Top industries

Information Technology, Professional Services, Advertising

Customer Data Platform experts in Munich are most in demand in Information Technology, Professional Services, and Advertising.

Certification focus areas

Information Technology, Business Intelligence, Marketing

Customer Data Platform experts in Munich earn their certifications most often in Information Technology, Business Intelligence, and Marketing.

Bachelor's degree or higher

100%

100% of Customer Data Platform experts in Munich hold at least a Bachelor's degree.

Master's degree or higher

75%

75% of Customer Data Platform experts in Munich hold at least a Master's degree.

Doctorate

25%

25% of Customer Data Platform experts in Munich have a doctorate (PhD).

Certifications per freelancer

4

Customer Data Platform experts in Munich hold 4 professional certifications on average.

Most common languages

German, English, Bulgarian

Customer Data Platform experts in Munich most often speak German, English, and Bulgarian.

Speak two or more languages

100%

100% of Customer Data Platform experts in Munich speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 2 4 6 8
2 of the Customer Data Platform experts in Munich charge less than €800 per day.
5 of the Customer Data Platform experts in Munich charge between €800 and €1200 per day.
One of the Customer Data Platform experts in Munich charges €1600 or more per day.
<€800 €800-​1200 €1600+

The chart shows how the daily rates of freelancers in this technology in Munich 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 Munich using Customer Data Platform

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 827 €

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 840 €

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.

Customer Data Platform 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 (89%)
  • Professional Services (89%)
  • Advertising (44%)
  • Media and Entertainment (44%)
  • Banking and Finance (33%)
  • Retail (33%)
  • Automotive (22%)
  • Healthcare (22%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What a CDP does

A Customer Data Platform, often called a CDP, collects first-party customer data from websites, apps, commerce systems, service tools, and offline touchpoints. It creates persistent profiles that teams can use for segmentation, personalization, analytics, and coordinated customer journeys. Unlike a point solution, a CDP connects data collection with activation.

Core capabilities

A capable CDP setup can support:

  • Event collection from web, mobile, and connected products
  • Profile unification across identifiers and data sources
  • Consent-aware audience creation and activation
  • Real-time triggers for campaigns and service workflows
  • Data quality checks, governance, and audience measurement

The right design depends on data volume, latency needs, identity rules, and the channels a company already operates.

Ecosystem and tooling

CDP work often connects customer relationship management systems, data warehouses, commerce platforms, analytics suites, consent tools, and marketing automation. Specialists may work with Segment, mParticle, Tealium, Adobe Real-Time CDP, Salesforce Data Cloud, Treasure Data, or a custom warehouse-centered design. APIs, event schemas, reverse ETL, cloud storage, and privacy controls are central parts of the ecosystem.

When expertise matters

Companies usually bring in freelance expertise when fragmented customer records limit marketing performance or when a new CDP must be selected and implemented. Typical needs include:

  • Auditing existing sources, identifiers, and consent flows
  • Defining a practical customer data model
  • Migrating audiences and event pipelines
  • Connecting activation destinations and measurement
  • Establishing ownership, documentation, and operating processes

In Munich, specialists may support retail, automotive, financial services, travel, and media organisations, with collaboration arranged remotely, on site, or in a hybrid model.

CDP versus adjacent systems

A CDP is not simply a CRM, data warehouse, or data management platform. A CRM usually focuses on managed relationships and interactions, while a warehouse is designed for broad analytical storage and processing. A DMP traditionally emphasises addressable audience activation, often with less focus on durable first-party profiles. Strong professionals can explain these boundaries and design a useful combination rather than forcing every requirement into one product.

Signs of strong specialists

Good Customer Data Platform specialists begin with business use cases, measurable ownership, and a clear source-of-truth discussion. They document event contracts, identity resolution rules, consent behaviour, retention policies, and failure handling before connecting channels. They also test profile merges, audience eligibility, latency, and downstream activation with representative data. Look for professionals who can communicate with marketing, analytics, security, legal, and engineering stakeholders and leave behind maintainable processes.

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Frequently asked questions

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

A Customer Data Platform unifies customer information from digital and offline sources into usable profiles. Companies use it to create audiences, personalise experiences, coordinate campaigns, support service teams, and analyse behaviour across channels.

A CDP focuses on unifying customer identities and activating profiles across operational channels. A CRM manages relationship records and interactions, while a data warehouse supports broad analytical workloads; some companies connect all three.

A strong Customer Data Platform specialist usually understands event tracking, identity resolution, APIs, SQL, cloud data services, consent management, and marketing automation. Experience with analytics, data governance, and customer journey design is also valuable.

The need depends on the number of sources, identity rules, activation channels, and governance requirements. A small implementation may need focused configuration support, while a complex CDP programme benefits from a specialist who has led discovery, migration, testing, and adoption.

Yes, much of a Customer Data Platform project can be handled remotely through workshops, documentation, configuration, and shared testing environments. On-site sessions in Munich can still help with stakeholder alignment, process discovery, and training when teams prefer direct collaboration.

Companies may compare Segment, mParticle, Tealium, Adobe Real-Time CDP, Salesforce Data Cloud, Treasure Data, and warehouse-centered approaches. The best fit depends on existing systems, data ownership, activation needs, consent requirements, and the level of real-time processing required.

Ask the CDP specialist to explain identity stitching, event design, consent handling, testing, and failure recovery in concrete terms. Strong professionals connect technical decisions to business use cases and provide clear documentation rather than relying on product configuration alone.

Before starting Customer Data Platform work, clarify the target use cases, source systems, identifier strategy, data ownership, privacy constraints, activation destinations, and success criteria. In Munich, also confirm whether workshops require on-site attendance and which working language stakeholders expect.

The average hourly rate of freelancers in Munich, Germany who have used Customer Data Platform in their recent projects is 103 €, which corresponds to a daily rate of about 827 € based on an 8-hour working day.

Of the freelancers in Munich, Germany who have used Customer Data Platform in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 25% hold a doctorate.

On average, freelancers in Munich, Germany who have used Customer Data Platform in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3 years.

The most common languages among freelancers in Munich, Germany who have used Customer Data Platform in their recent projects are German (100%), English (100%), and Bulgarian (11%).

The most common industries among freelancers in Munich, Germany who have used Customer Data Platform in their recent projects are Information Technology (89%), Professional Services (89%), and Advertising (44%).

The most common business areas among freelancers in Munich, Germany who have used Customer Data Platform in their recent projects are Information Technology (100%), Business Intelligence (78%), and Marketing (78%).

Main locations of FRATCH Experts, who have recently used Customer Data Platform

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.

Countries:

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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Philipp Thomaschewski

FRATCH CEO

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