Data Warehouse Expert in Hamburg
in minutes with vetted, available specialists and precise AI matchingHire experts who design reliable analytical data models, build ELT pipelines and connect cloud warehouses such as Snowflake, BigQuery or Amazon Redshift. FRATCH quickly matches you with vetted, available freelancers whose skills fit your project.
Meet FRATCH Experts in Hamburg, who have recently used Data Warehouse
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
Sanchit B.
Last position:
Freelancer at S2S Dynamics UG
- Implementing cross-industry applications with LLMs
- Developing cloud infrastructure for clients
- Implemented end-to-end data pipeline to deploy models in real time
- Managed overall IT system administration and desktop support
Marcus B.
Last position:
Data Engineer at Deutsche Bahn AG via Scoore GmbH
- Development of ETL pipelines with Talend (7/ Enterprise)
- Development/adaptation of database schema/database functions (PostgreSQL)
- Development of GIT CI pipelines
Technologies: Talend Enterprise, Git, PostgreSQL, Dbeaver, SQL, PL-SQL, Liquibase
Marc M.
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Rainer D.
Last position:
Enterprise Architecture Management / Backend Software Developer at Polizei Hamburg
- Several projects in a police context
- Model and document police procedures/projects with Archimate (as-is/to-be) in the context of P20 (BKA)
- Create software architectures with microservices
- POC development with Springboot/Docker/Kubernetes
- Project size: 10 people
- Enterprise architecture management with Togaf and Archimate
- Backend software development Springboot
- DevOps with Kubernetes
- Implemented using: Java 17/21, Springboot 3, P20 architecture, Togaf, Archimate
Alex O.
Last position:
Contractor at Telefonica Germany GmbH & Co. OHG
- Data-analysis, Preparation, gathering and coordination of business requirements for retrieval of monthly- and long term (CLV – relevant) cost- and revenue-components per contract for a customer–base–grouping project (HUB–Project) for B2C-Postpaid-Controlling
- Concept and Implementation of cost- and revenue-KPIs calculation and corresponding CLV–reports (Oracle, Perl, SVN, MS SQL Server, MS Power BI, Serviceware Performance Analytics)
- Operational support of the HUB-Project – various ad-hoc reports, deployments, job-scheduling etc. (Oracle, SVN, BICSuite–Scheduler, DWSODA etc.)
- Analysis, implementation, retrieval and reporting of various physical and financial KPIs for B2P-Prepaid Business on an existing data-mart (Oracle, Perl)
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
Andreas D.
Last position:
Interim Chief Technology & Product Officer at Babbel GmbH
- Restructuring for product-led growth in the field of digital user-centric tech product development language learning experiences
- Scaling empowered tech product teams
- Anti-fragile software engineering
Guido B.
Last position:
Independent Management Consultant and Interim Manager at BCTC Unternehmensberatung Guido Bäcker
Consulting, training, and coaching in the financial sector on strategy, organization, and IT topics
MorgenFund: Advising the operator of a fund platform on software selection for a sub-ledger "Cash Accounts" based on Virtual IBANs (VIBAN)
Structuring requirements, market screening, creating RfIs, communicating with vendors, and conducting the selection process
UniCredit/HypoVereinsbank: Workstream lead "Booking and Customer Reporting" in the payment transformation project "PULS"
Business analysis, creating business requirements and aligning solution items as part of the functional specification with the bank's IT service providers
Business analysis of SEPA CT and SWIFT MX (.camt, .pain, and .pacs formats), change management, team lead for a virtual team of fifteen line experts, and stakeholder management
equensWorldline Germany: Program management for three projects of the SWIFT service bureau (CBPR+, ESMIG, and Euro1Step1 migration) as part of the SWIFT MX migration
Managing individual project managers regarding overarching goals and requirements; reporting to internal and external committees and stakeholders; coordinating with dependent projects and programs
Project management/PMO: interim project management, stand-in for project managers, resource planning, budget and cost management, general PMO tasks
Jan H.
Last position:
Founder & Chief Product Officer at ganzheit
- Founded a bootstrapped AI-native startup building digital tools for psychotherapists
- Empowered therapists to enhance therapeutic work without disrupting human connection
- Assembled founding team and reached product-market fit with LLM-powered supervision for psychotherapists
- Integrated generative AI stack, including agentic coding, evaluations, tracing, and prompt management
Timo W.
Last position:
Project Manager, Requirements Manager, Business Analyst, Solution Architect at Service Provider for Heat Quantity Measurement
Supporting integration testing
Writing and creating the cut-over script
Conducting workshops to clarify requirements
Gathering business requirements
Business process modeling
IT design
Project planning
Supporting migration tests
Executing a greenfield S/4HANA conversion. A DATEV application and an AS400 are to be replaced by an S/4HANA system in a public cloud. The DATEV system runs the general ledger and accounts payable. The AS400 handles accounts receivable and business partners. The payables and receivables will be migrated to S/4HANA and the DATEV solution decommissioned.
Alain B.
Last position:
Interim Manager | Product Manager | AdTech & CDP Expert | Technical Transformations at Freelancer
- Hands-on product and portfolio analyses with actionable recommendations
- Skilled in consulting, concept development, and agile project management
- Technical leadership & team empowerment – for smooth agile delivery with foresight and guardrails
George G.
Last position:
SAP Authorization Consultant/ SAP Authorization Consulting (Freelancer/SAP Consultant) at Publicly Listed Pharmaceutical Company
- Consulting on SAP authorizations and governance
- Conducting governance consultations, iteration support and project coordination
- Developing solutions for effective control and monitoring of SAP authorizations
- Creating concepts and recommendations
- Drafting detailed concepts to improve the assignment and management of SAP authorizations
- Providing clear recommendations based on established methods and best practices
- Creating/customizing authorizations for MM including MDG/MDM as well as FI, PP including AIRC Services within SAP Finance
- Reviewing existing structures and processes
- Analyzing and evaluating current SAP authorization structures and processes
- Identifying weaknesses and developing optimization strategies
- Conducting trainings and workshops
- Planning and delivering trainings and workshops for awareness
- Sharing knowledge in SAP authorizations, including role assignment, support during iterations and consulting on role development in the pharmaceutical environment.
Jan G.
Last position:
Interim Senior Application Owner for Pricing, Forecasting and Prognosis Solutions at International energy trading company
- Collaborated closely with key users, business analysts and product owners to understand requirements, define priorities and derive solutions
- Managed external service providers
- Oversaw and executed updates, patches and release management
- Handled incident, problem and change management according to ITIL
- Analyzed and evaluated incidents and changes for operational impact and business processes
- Monitored systems and interfaces, ensuring IT security and compliance requirements
- Supported IT planning, cost monitoring and contract management
- Created and executed tests for maintenance and projects
- Assisted in designing technical solutions and contributed to projects such as IT landscape harmonization and modernization
- Independently led operations-related projects and continuously optimized processes
- Achieved significant cost savings through supplier negotiations, rightsizing and decommissioning of legacy systems
- Technologies: Azure DevOps, ServiceNow, icinga, metalogic mPE/mPX, FIS, inubit, Oracle, LeanIX, One Identity, Confluence, Copilot, XML, JSON, SQL, RabbitMQ, Python, BPMN, OKR, ITIL, Kanban
Simson O.
Last position:
Product Owner Salesforce at Hermes Germany GmbH
- Optimized and introduced Salesforce processes (Sales Cloud + Marketing Cloud) to support sales.
- Implemented processes for collecting requirements from various departments.
- Expanded reporting for transparency of project progress and backlog priorities.
- Managed the backlog, created user stories and acceptance criteria.
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.7 years (Germany: 3.2 years)
Positions per freelancer
16 (Germany: 13)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93% (Germany: 89%)
Master's degree or higher
87% (Germany: 57%)
Doctorate
7% (Germany: 10%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
95%
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 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 Warehouse
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.
Data Warehouse 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 (95%)
- Banking and Finance (65%)
- Healthcare (50%)
- Transportation (45%)
- Government and Administration (45%)
- Professional Services (40%)
- Retail (40%)
- Insurance (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Analytical foundation
A data warehouse consolidates structured information from business systems so companies can analyse it consistently. It supports reporting, dashboards, financial planning, customer analysis and operational decisions. Strong designs separate source data from trusted business models and make definitions clear across teams.
Architecture and modelling
Experts choose an architecture that fits data volume, latency, governance and existing systems. They design dimensional models, data marts, semantic layers and transformation patterns for reliable consumption. They also plan storage, partitioning, access controls and data retention instead of treating the warehouse as an isolated database.
Pipelines and tooling
A warehouse depends on repeatable movement and transformation of data. Common ecosystems include Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse and Databricks, supported by tools such as dbt, Airflow, Fivetran and Kafka.
- Connect transactional systems, APIs and files
- Build ELT workflows with checks and recovery paths
- Document models, ownership and lineage
- Prepare data for BI tools and machine learning
When specialists help
Companies bring in freelance specialists during a warehouse migration, a cloud adoption project or a reporting redesign. They are also useful when pipelines are unreliable, definitions conflict or query costs and performance need tighter control. In Hamburg, collaboration may combine remote delivery with workshops at a local office, depending on stakeholders and data access.
Quality signals
A strong professional makes data traceable from source to report and tests transformations before users depend on them. They explain trade-offs in plain language, define ownership and monitor freshness, failures and unusual changes. Look for practical knowledge of SQL, modelling, orchestration, security and the company’s preferred cloud environment.
Sustainable delivery
Good warehouse work leaves behind maintainable models rather than a collection of one-off queries. Experts establish naming conventions, reusable transformations, deployment workflows and documentation that teams can extend. They can also coach internal specialists and work effectively in English or German when Hamburg-based business and technical teams require both.
Frequently asked questions
Curious about Data Warehouse? Here are the answers that come up again and again.
A Data Warehouse stores integrated, structured data for analysis and reporting. Companies use it to combine information from sales, finance, operations, marketing and customer systems, then expose consistent data to dashboards, planning tools and analytical models.
A Data Warehouse usually presents curated, structured data that is ready for governed analysis. A data lake can hold raw data in many formats, while a lakehouse combines lake-style storage with warehouse-style management and querying. The right choice depends on data variety, users, governance and latency needs.
A Data Warehouse specialist should usually understand advanced SQL, dimensional modelling, ELT, orchestration and data quality testing. Experience with cloud infrastructure, security, CI/CD, BI tools and source-system integration is also valuable because warehouse work crosses application and reporting boundaries.
A Data Warehouse project benefits from a specialist who has delivered systems similar in scale, complexity and business criticality. Ask for concrete examples of migrations, modelling decisions, failed-pipeline recovery and stakeholder adoption rather than relying only on tool names in a profile.
A Data Warehouse engagement can often be delivered remotely when access, documentation and communication routines are well defined. Hamburg-based companies may still prefer on-site workshops for discovery, governance or sensitive stakeholder discussions. Clarify language expectations, working hours and data-access rules before starting.
A Data Warehouse professional should explain how source data becomes a trusted metric and how errors are detected before reporting is affected. Review their approach to testing, lineage, documentation, monitoring, permissions and cost control. A concise technical assessment or architecture discussion can reveal more than a list of certifications.
A Data Warehouse on Snowflake or BigQuery can offer flexible scaling, managed operations and strong integration with cloud analytics services. A traditional warehouse may remain suitable where workloads are predictable, infrastructure is tightly controlled or existing investments are substantial. Selection should follow workload, governance and integration requirements.
A Data Warehouse freelancer may define the target architecture, migrate legacy workloads, build dbt models, orchestrate pipelines or improve query performance. They may also create documentation, data contracts, quality checks and handover plans so internal teams can operate the system after delivery.
The average hourly rate of freelancers in Hamburg, Germany who have used Data Warehouse in their recent projects is 111 €, which corresponds to a daily rate of about 888 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Data Warehouse in their recent projects, 93% hold at least a Bachelor's degree, 87% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Data Warehouse in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Hamburg, Germany who have used Data Warehouse in their recent projects are German (100%), English (95%), and Spanish (25%).
The most common industries among freelancers in Hamburg, Germany who have used Data Warehouse in their recent projects are Information Technology (95%), Banking and Finance (65%), and Healthcare (50%).
The most common business areas among freelancers in Hamburg, Germany who have used Data Warehouse in their recent projects are Information Technology (100%), Business Intelligence (95%), and Project Management (90%).
Main locations of FRATCH Experts, who have recently used Data Warehouse
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 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen 
Hanover 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
