Data Warehouse Experts in Düsseldorf
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Meet FRATCH Experts in Düsseldorf, who have recently used Data Warehouse
Songül D.
Last position:
Freelance SAP BW Consultant at DKV Mobility Services
- Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
- Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
- Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
- Integrated SAP and non-SAP data sources (including MS Dynamics)
- Improved reporting transparency through consolidated data models
- Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance
Olaf K.
Last position:
CIO Advisor・IT Strategy・Tech/IT Due Diligence・Enterprise Architecture・IT Governance・AI Transformation・ex-BCG Platinion at Kiese IT
- -- ENGLISH Version (Deutsche Version unten) ---
Experience
- Ex-BCG Platinion: 14 years as Manager & Chief IT Architect, leading large-scale IT transformations in complex group structures
- 20+ years of C-level consulting across AI/IT strategy, enterprise architecture, IT organization, transformation, M&A due diligence, project recovery, and interim management
- IT leadership experience with cross-functional, intercultural teams of up to 100+ people
- Hands-on background in software engineering, IT architecture, and project management
- Fortune Europe 500 focus; numerous international projects; SME and start-up experience
Core services:
- IT strategy, enterprise architecture (EAM), target architectures and roadmaps
- PE/M&A/carve-out IT/tech due diligence, asset valuation, cost estimation
- GenAI transformation, process automation, and AI governance
- IT reorganization, target operating model (TOM), agile transformation
- IT governance, development and ITSM process optimization (BizDevOps, SAFe)
- Review and recovery of critical large-scale IT programs
- Planning and steering of transformation programs and IT project portfolios
- IT vendor and platform selection (RfI / RfP)
- Coaching & Interim management
Industries (selection): Insurance, financial services & banking, energy & utilities, telecommunications, retail & consumer goods, logistics, media, industry & engineering, healthcare, professional services
Projects (selection):
M&A Buy-side IT/Tech Due Diligence of an Acquisition in the Energy Sector (Utility, Smart Home) — AI-augmented with Anthropic Claude
AI Initiative for LLM-Based Optimisation and Automation of Sales and Billing Processes
Interim management Enterprise Architecture & group target architecture/roadmap development (METRO)
Reorganization: Design and introduction of agile IT target operating model at international wholesale group (METRO)
Design and implementation of agile BizDevOps target operating model (E.ON Grid Solutions)
Platform/vendor selection for renewal of core insurance solution of start-up (ELEMENT Insurance)
Establishment of project assurance capability and review/recovery of critical transformation projects (ERGO)
Enterprise architecture management and development of divisional/solution architectures (Deutsche Post DHL)
Strategic pricing architecture decisions in digital sales application landscape (E.ON Energie)
IT due diligence: Architecture evaluation and monetary valuation of IT assets (ProSiebenSAT.1 Media)
Interim management of group-wide security/compliance programme (ERGO)
Enabling an application landscape for different sales organizations and product structures (E.ON Energie)
Realignment of business/IT strategy and InsurTech platform selection (RfI, RfP) (nexible, ERGO Digital Ventures)
Stabilization/optimization of an agile/SAFe business/IT DevOps landscape transformation (Lufthansa AirPlus)
Process optimization and design/management of digitization and robotics introduction in power plants (RWE Nuclear)
BSS target architecture development for fixed/mobile networks convergence (Deutsche Telekom)
Optimization of IT organization model and methodology in application development and testing (Deutsche Telekom)
Evaluation of fulfillment of a general contractor agreement for run-off/migration of contract portfolios (ERGO)
-- DEUTSCHE Version (English version above) ---
Experience
- Ex-BCG Platinion: 14 years of strategy and implementation of large-scale IT transformations in complex corporate structures (Manager & Chief IT Architect)
- 20+ years of C-level-adjacent IT consulting: IT strategy, enterprise architecture, IT organization, transformation, due diligence, project recovery, and interim management
- IT leadership responsibility for cross-functional, intercultural teams of up to 100+ people
- Solid hands-on experience in software development, IT architecture, and project management
- Focus on Fortune Europe 500, numerous international projects; SME and start-up experience
Industries: insurance · financial services & banking · energy · telecommunications · retail & consumer goods · industry & engineering · logistics · media · healthcare
Services (focus areas):
- IT strategy, enterprise architecture (EAM), IT landscape target visions and roadmaps
- M&A/carve-out IT/tech due diligence, asset valuation, and cost estimation
- GenAI transformation, process automation, and AI governance
- IT reorganization, target operating model (TOM), agile transformation
- IT governance, development and ITSM processes (BizDevOps, SAFe)
- Review and recovery of critical large-scale IT projects
- Planning/steering of transformation programs and IT project portfolios
- IT service provider/platform selection (RfI, RfP)
- IT project management (agile, classic, hybrid)
- Coaching & interim management
Projects (selection):
- M&A buyer-side IT/tech due diligence of an acquisition in the energy sector (utility, smart home) — AI-augmented with Anthropic Claude
- AI initiative for LLM-supported optimization and automation of sales and billing processes
- Interim management of Enterprise Architecture and development of group target architecture in wholesale (METRO)
- Reorganization: design and introduction of an agile IT target operating model (TOM) at an international wholesale group (METRO)
- IT reorganization: introduction of an agile BizDevOps target operating model (TOM) at an energy group (E.ON Grid Solutions)
- Platform selection / vendor selection for renewal of the core insurance solution of a B2B2C start-up (ELEMENT Insurance)
- Process optimization, digitalization, and introduction of robotics in power plants (RWE Nuclear)
- Assessment of fulfillment of a general contractor agreement for run-off/migration of life insurance portfolios (ERGO)
- Business/IT strategy and InsurTech platform selection for a digital insurer/start-up (nexible, ERGO Digital Ventures)
- Enabling an energy application landscape for multiple sales units (E.ON Energie)
- Strategic architecture decisions in price management of a digital sales application landscape at an energy group (E.ON Energie)
- Stabilization/optimization of an agile DevOps IT transformation in business travel and payment management (Lufthansa AirPlus)
- Interim management in a group-wide security and compliance program of a global insurer (ERGO)
- Building project assurance capability as well as review and optimization/recovery of critical IT projects in an insurance group (ERGO)
- Building enterprise architecture management and development of domain and solution architectures for a logistics group (Deutsche Post DHL)
- M&A IT due diligence – evaluation and valuation of IT assets in the media sector (ProSiebenSAT.1 Media)
- Development of BSS target architecture and roadmap for fixed/mobile convergence (Deutsche Telekom)
- Optimization of IT governance/organization and methodology in application development and testing at a telecommunications group (Deutsche Telekom)
Christian W.
Last position:
Software Engineer, cross-platform Application Manager at International major bank
- Creating interfaces between the legacy platform and the new container solution
- Coordinating required contributions from line units
- Moderating regular status meetings with the software vendor
- Minimally invasive conversion of TWS scheduling from the old to the new platform
- Environment: IBM Mainframe, DB2, CICS, MQ, Red Hat Linux, Oracle, Kubernetes, Kafka, Helm, GitLab, Jenkins
Ludo P.
Last position:
Senior Consultant at Insurance
- DWH modernization
- Migration from Informatica PowerCenter to IDMC/CDI
- Migration from IBM DB2 to Databricks
Technologies: Informatica IDMC, Databricks
Olga M.
Last position:
Telefónica Deutschland Holding AG
- Implemented the BI solution and replaced the old BI landscape
- Led the “Sales Bonus Plan” subproject: expanded the existing solution and migrated to Azure (Databricks)
- Led the “Cognos Migration” subproject: expanded existing data warehouses based on MS technologies (source systems: Oracle), analyzed business requirements and designed the technical solution
- Expanded the relational DWH database
- Developed ETL processes using SSIS
- Developed the multidimensional database (OLAP Cubes/SSAS)
Ricardo M.
Last position:
Controlling Staff Unit (CFO/Head of Controlling) at IT Security Solutions
- Process optimization, process design
- Business partnering, target vision
- Teambuilding
- Workflow design
- Budget, MEC
- SAP S4/Hana, Board
Younes H.
Last position:
Senior Backend Developer at PTA
- Development and maintenance of database-driven applications for managing supplier and food contracts, with extensive use of Oracle PL/SQL for complex business logic and data processing
- Optimization of PL/SQL procedures, functions, and triggers to ensure the performance and scalability of Oracle database solutions
- Ensuring compliance with best practices in PL/SQL development and implementing standards for code quality and data integrity
- Close collaboration with backend and frontend teams to ensure smooth integration between the Oracle database, C#-based APIs, and Azure cloud services
Dr Daniel S.
Last position:
Director of Partner & Alliances, AI Use Cases, EMEA at Teradata Deutschland GmbH / Teradata Corporation EMEA
- Define EMEA ISV Go-to-Market strategy to push indirect SaaS sales
- Solve customer problems with AI embedding into new use cases and solutions
- Build partner ecosystem and sell partner solutions to drive platform consumption
- Enable cross-functional teams on AI use cases implementation
- Manage a cross-functional team of 7 FTE
- Built EMEA partner originated pipeline from scratch with 70 mn€ TCV and 20 mn€ ARR growth sales with cloud-based and hybrid solutions
- Increased co-sell rate from 20% to 40% and co-delivery rate from 25% to over 50%
Rakesh L.
Last position:
Multi Domain Expert IT Infrastructure at Speira GmbH
- Development and implementation of multi-domain infrastructure strategies to optimize system performance in OT and IT.
- Design of security concepts for multi-domain infrastructures, including IT security management.
- Oversight of incident management, problem management, and change management.
- Managing the entire lifecycle of a strategic project, including planning, execution, delivery, and stabilization.
- Supporting IT governance, IT architecture, and risk management.
- Conducting workshops on IT security and infrastructure.
Dalia C.
Last position:
Oracle Developer at Freelance
- Design and implementation of an OCI-based data warehouse and ETL system to replace legacy mainframe applications
- Developed a database optimization strategy and planned the rapid conversion of JCL and COBOL routines to PL/SQL using AI
- Developed an Oracle Apex-based app for internal administrative processes in the public sector (office equipment, staff training)
- Implemented PL/SQL workflows for approval processes and created a responsive mobile version with JavaScript and CSS
- Used Azure DevOps for backlog management and documentation, and Git for version control
- Developed REST interfaces to CRM systems
- Replaced and reprogrammed Oracle Forms screens with Oracle Apex and updated to the latest Apex versions
- Designed a Git branching strategy and conducted code reviews
- Maintained and further developed an EDI-based data exchange system based on Oracle Advanced Queuing for the public sector in Austria
- Performed data analysis and created charts in the Oracle Apex frontend; installed standalone ORDS and Apex 23.1
- Worked agile using the Spotify model; developed complex Apex pages with support from Oracle JET
- Rebuilt and customized existing PL/SQL packages, created workarounds for database version differences, and optimized queries
- Developed Apex applications for broker pools to manage and optimize Oracle databases in the banking environment, including SSO-based authorization systems with OAuth2 and Keycloak
- Built extensive Oracle Apex applications for BI and data mining modernization projects and developed manual and automated projection methods in the frontend
- Carried out data warehousing projects in the banking sector and used Scrum and Kanban in team projects
Dieter W.
Last position:
Freelancer at Morat Swoboda Motion GmbH
- Manual for the new cost center structure in SAP and the new posting procedures
- Plant controlling, operating cost sheets, and inventory valuation
- Rate determination in Excel for SAP
- Preparation of product calculations
Ulaş Ö.
Last position:
Freelance Business Intelligence Data Modeler at Vodafone Turkey
- Developed an in-depth understanding of the business processes and data in the corporation
- Assisted in maintaining the corporate data
Peter W.
Last position:
Business Analyst at Finanz Informatik GmbH & Co. KG
- Maintenance and further development of the OSPlus software in the cashier area
- Use of IBM Notes and HP Quality Center
Jochen R.
Last position:
Independent IT Consultant at Verti AG
- Project: Migration of large data sets
- Result: ETL route development with AWS Glue and Talend Open Studio
Werner H.
Last position:
Insurance company
- Migrations of DB2 databases to Oracle
- Design and setup of new databases based on ODA X7-HA / X9-HA RAC 12cR2 - 19.23 / Data Guard / GI 19c
- Hardware: ODA X7 X9 / IBM
- Software: Oracle 12c-19.23 / Oracle Linux Enterprise 7.1–8.8
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
26 years (Germany: 22 years)
Position duration
2.6 years (Germany: 3.2 years)
Positions per freelancer
14 (Germany: 13)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Telecommunication
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
82% (Germany: 57%)
Doctorate
18% (Germany: 10%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 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 Düsseldorf 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 Düsseldorf 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 (80%)
- Professional Services (60%)
- Telecommunication (60%)
- Banking and Finance (53%)
- Manufacturing (53%)
- Insurance (47%)
- Transportation (40%)
- Government and Administration (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What a Data Warehouse Does
A data warehouse centralizes structured business data for reporting, analytics and decision-making. It combines information from operational systems, applications and external sources into governed models that teams can query consistently. Unlike an application database, it is designed mainly for analytical workloads and historical analysis.
Core Deliverables
Data warehouse specialists turn fragmented source data into dependable analytical products. Typical deliverables include:
- Dimensional models with facts, dimensions and clear business definitions
- ELT pipelines that load, transform and validate source data
- Reporting layers for finance, sales, operations and customer analysis
- Data quality checks, lineage documentation and access controls
Ecosystem and Tooling
The ecosystem spans cloud and on-premises platforms, orchestration tools and transformation frameworks. Experts may work with Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse or Databricks, alongside dbt, Airflow and cloud storage. SQL remains central, supported by Python, APIs, CI/CD workflows and monitoring.
When Companies Need Support
Companies often bring in freelance expertise during migrations, platform selections or analytics modernisation. A specialist can also help when dashboards disagree, pipelines fail silently or warehouse costs and query times become difficult to control. In Düsseldorf, local teams may combine on-site workshops with remote delivery across German and international stakeholders.
Strong Professional Practice
Strong professionals clarify source-system meaning before writing transformations. They design models that remain understandable as the business changes, separate raw, transformed and presentation data, and make tests part of delivery. They also explain trade-offs between a traditional warehouse, a data lake and a lakehouse instead of treating one architecture as universal.
Selecting the Right Specialist
Look for evidence of complete warehouse deliveries, not only isolated SQL work. Relevant experience includes source discovery, dimensional or semantic modelling, orchestration, security, performance tuning and stakeholder communication. A useful evaluation asks how the specialist handles late-arriving data, changing definitions, failed loads and reconciliation with source systems.
Frequently asked questions
Not sure where to start with Data Warehouse? These answers cover the essentials.
A data warehouse stores integrated, structured data for business intelligence, reporting and analytical queries. It helps teams compare historical performance, define shared metrics and support decisions without placing the same workload on operational systems.
A data warehouse usually emphasizes curated, structured data and consistent analytical models. A data lake can hold raw data in many formats, while a lakehouse combines lake storage with warehouse-style governance and query capabilities. The right choice depends on data variety, users, governance and workload requirements.
A strong data warehouse specialist often combines advanced SQL with dimensional modelling, ELT design, orchestration and data quality engineering. Experience with dbt, Airflow, Python, cloud storage, BI tools, access management and CI/CD is also valuable.
The required depth depends on the scope, source-system complexity and consequences of incorrect reporting. A smaller implementation may need focused modelling and pipeline skills, while a migration or enterprise platform needs proven architecture, governance, optimisation and stakeholder leadership.
Yes, much of the data warehouse work can be delivered remotely through shared documentation, repositories, cloud environments and regular workshops. On-site sessions in Düsseldorf can still help with source discovery, requirements alignment and training, especially when several business teams are involved.
A data warehouse project may use Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse or another managed service. Selection should consider existing cloud commitments, data volume and formats, security, integration needs, team skills and workload patterns rather than brand familiarity alone.
Ask the data warehouse professional to explain a delivered model, the source-to-reporting flow and how quality was tested. Good answers cover reconciliation, lineage, failure handling, changing business definitions, performance and access control in clear business terms.
Freelance data warehouse specialists may assess an existing environment, design models, build ingestion and transformation pipelines, migrate platforms or improve reliability. They can also document definitions, tune queries, establish monitoring and prepare teams to operate the solution after handover.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Warehouse in their recent projects is 102 €, which corresponds to a daily rate of about 816 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Data Warehouse in their recent projects, 100% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Dusseldorf, Germany who have used Data Warehouse in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Data Warehouse in their recent projects are German (100%), English (93%), and French (33%).
The most common industries among freelancers in Dusseldorf, Germany who have used Data Warehouse in their recent projects are Information Technology (80%), Professional Services (60%), and Telecommunication (60%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Data Warehouse in their recent projects are Information Technology (100%), Business Intelligence (87%), and Project Management (87%).
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.
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