Data Warehouse Experts in Nuremberg
matched in minutes from over 15,000 CVsHire experts who design dimensional models, integrate data from business systems and deliver reliable reporting foundations with Snowflake, BigQuery, Amazon Redshift or Microsoft Fabric. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Nuremberg, who have recently used Data Warehouse
Vladimir E.
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Elnazossadat H.
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Leif S.
Last position:
Software Architect at QualityMinds GmbH
- Lead software architect and technical team lead for a new logistics platform for load carrier trade
- Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
- Evaluation of initial business requirements and software development roadmap
- Technical team lead in a Scrum team of 9 people
- Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development
Pawan S.
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Peter L.
Last position:
Zoho Consulting and Development at Zuperstars mit Z wie Zoho
- Consulting on functional topics and their feasibility with Zoho technologies
- Implementing solutions based on Zoho
- Integrating Zoho solutions with third-party systems
- Performing data migrations
- Training and support
Guino N.
Last position:
Senior Data Engineer at Infomotion
- Building a Data Analytics platform for Karl Storz
- Generic development of all ETL processes
- Preparing and providing data in Databricks Delta tables for reuse in Databricks Machine Learning
- Technologies & Tools: Azure Data Factory, CI/CD Pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
Tim S.
Last position:
Freelance Business Intelligence Consultant at Self-employed
- Ongoing support for a Lucanet project in Hamburg (logistics/financial market)
- Consulting on budgeting topics
- Consulting on fixed asset accounting issues
- Support with analyses
- Implementation of Lucanet at a customer near Munich (retail/building materials)
- Support with the initial setup
- Preparation of Excel data imports
- Development of an SQL interface to Navision data
- Ongoing support for a Lucanet project in Munich (pharmaceuticals/medical)
- Data output to SQL Server
- Support and consulting in setting up legal consolidation
- Ongoing support for a Lucanet project in Cologne (publishing)
- Preparation of Excel imports
- Support with the initial setup (project restart)
- Ongoing support for a Lucanet project in Ludwigsburg (chemicals, printing inks, hobby paints)
- Connecting Lucanet to an existing data warehouse solution (SQL)
- Ongoing support for a Lucanet project in Bad Staffelstein (solar industry)
- Connecting Lucanet to an existing data warehouse solution (SQL)
- Connecting the Lucanet Reporting Package
- Support and consulting in setting up legal and management consolidation
- Ongoing support for a Lucanet project in Zeven (transport and logistics)
- Administration of the existing Lucanet solution
- Connecting the Lucanet Reporting Package
- Support and consulting in setting up legal and management consolidation
- Support with planning and forecasting
- Implementation of Lucanet at a customer in Luxembourg (retail)
- Installation and setup
- Support with the initial setup
- Preparation of Excel/DWH interface data imports
- Implementation of Lucanet at a customer in Nuremberg (manufacturing)
- Support with the project restart
- Design of reporting and planning
- Setup of import packages
- Lucanet in-house consultant at an international software group with a focus on M&A
- Consulting and support for the group holding company and business units regarding the implementation, rollout and operation of the Lucanet Disclosure Management solution
- Implementation of Lucanet at a customer in Wassertrüdingen
- Database setup and configuration
- Connecting source systems using Lucanet interfaces
- Preparation of consolidated financial statements
- Support with the consolidation process
- Support with the reporting process
- Support for Lucanet at a customer in Stuttgart
- Support with the consolidation process
- Support with the reporting process
- Support with the planning process
- Sparring partner for the specialist department
- Support for Lucanet at a customer in Landau
- Implementation of cost center allocation in Lucanet
- Support with the consolidation process
- Support for a Lucanet carve-out for a customer in Waldstetten
- Database setup and configuration
- Design and implementation of BI software at a staffing services provider in Nuremberg
- Connecting various source systems
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Ongoing support and further development
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of BI software at an elevator company in Nuremberg
- Connection to Navision BC
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Based on: Cubeware Importer, SQL Server
- Design and implementation of BI software at a logistics company in Leipzig
- Connection of various source data
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of BI software at a corporate group in Freilassing
- Connection of various source data
- Development of data warehouse and ETL processes
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of a new reporting environment based on SQL Server and Power BI
- Best practice consulting for the creation of a data warehouse
- Support with report creation in Power BI
- Support with transforming an existing DWH solution to SAP BW
- Analysis and documentation
- Ongoing consulting on processes
- Support with designing BW/SAC models
- Reporting in SAC
- Rebuilding the BI environment at an international company from Berlin (manufacturing/retail)
- Connecting SAP BO to the new DWH (SSIS)
- Creation of tabular model cubes (SSAS)
- Creation of reports and KPIs
- User training
Ekaansh K.
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 22 years)
Position duration
3.1 years (Germany: 3.2 years)
Positions per freelancer
7 (Germany: 13)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
88% (Germany: 90%)
Master's degree or higher
63% (Germany: 59%)
Doctorate
13% (Germany: 10%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Nuremberg 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 Nuremberg 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 5 Nov 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 (100%)
- Banking and Finance (75%)
- Healthcare (75%)
- Automotive (38%)
- Education (38%)
- Transportation (38%)
- Professional Services (38%)
- Retail (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Purpose and scope
A data warehouse centralizes structured information from operational systems so companies can analyze it consistently. It supports management reporting, financial planning, sales analysis, supply chain decisions and self-service business intelligence. Unlike an application database, it is optimized for historical analysis, aggregation and governed access.
Core architecture
A typical warehouse combines source systems, ingestion, transformation, storage and consumption layers. Specialists define dimensional or Data Vault models, establish fact and dimension tables, and separate raw data from curated business views. Cloud warehouses such as Snowflake, Google BigQuery, Amazon Redshift and Microsoft Fabric provide scalable storage and compute, while traditional estates may use SQL Server or Oracle.
Delivery toolkit
Professionals work across SQL, data modeling and orchestration tools. Common components include dbt for transformation, Apache Airflow for scheduling, Fivetran or Airbyte for ingestion, and Power BI, Tableau or Looker for reporting.
- Design schemas, marts and semantic layers
- Build incremental pipelines and data quality checks
- Manage access, lineage, documentation and environments
Typical initiatives
Companies bring in freelance specialists for focused delivery or to strengthen an existing data team. Common assignments include:
- Migrating an on-premises warehouse to a cloud platform
- Consolidating finance, CRM and ERP data
- Rebuilding slow reports and unreliable pipelines
- Establishing governed self-service analytics
When expertise matters
External expertise helps when reporting definitions conflict, source systems are changing, or a warehouse has become difficult to maintain. It is also valuable during mergers, platform migrations and new analytics programs. In Nuremberg, specialists may support industrial, logistics, healthcare or service organizations, with remote delivery and occasional on-site workshops depending on the project.
What strong specialists deliver
Strong professionals connect technical design with business meaning. They clarify metrics, document assumptions and build tests for freshness, completeness and consistency. They understand security, privacy, cost control and performance tuning, and can explain trade-offs to both data teams and business stakeholders. German and English communication may both matter when local teams work with international systems.
Frequently asked questions
Need clarity? These are the questions we hear most often about Data Warehouse.
A Data Warehouse brings data from systems such as ERP, CRM, finance and e-commerce into a consistent analytical environment. Companies use it for historical reporting, dashboards, forecasting and controlled self-service analysis.
A Data Warehouse stores structured, modeled data that is ready for reliable analysis and reporting. A data lake can retain raw structured, semi-structured and unstructured data, often with more flexibility but greater responsibility for organizing and governing it.
A strong Data Warehouse specialist usually understands SQL, dimensional modeling, ETL or ELT, orchestration and data quality. Experience with dbt, Apache Airflow, cloud platforms, semantic models and BI tools is also useful, depending on the stack.
The right level for a Data Warehouse project depends on its scope, source complexity and platform. A focused reporting mart may need a specialist for a defined delivery phase, while a migration or enterprise redesign calls for someone who can shape architecture, governance and rollout.
Yes, Data Warehouse work is often suitable for remote collaboration because development, documentation and cloud environments are accessible online. Teams in Nuremberg may still benefit from on-site workshops for requirements, metric definitions and stakeholder alignment, with German or English used as needed.
A Data Warehouse may run on Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Databricks SQL, SQL Server or Oracle. The best choice depends on existing cloud commitments, data volume, workload patterns, governance needs and the skills already available to the company.
Ask a Data Warehouse specialist to explain how they would define metrics, model source data, test pipelines and handle changing business rules. Review their documentation habits, approach to lineage and access control, and ability to connect technical decisions with measurable reporting needs.
A Data Warehouse project becomes difficult when source data is inconsistent, ownership is unclear or business terms mean different things across teams. Freelancers also need to manage migration risks, pipeline dependencies, warehouse costs and stakeholder expectations without losing sight of usable deliverables.
The average hourly rate of freelancers in Nuremberg, Germany who have used Data Warehouse in their recent projects is 106 €, which corresponds to a daily rate of about 845 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Data Warehouse in their recent projects, 88% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Data Warehouse in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Nuremberg, Germany who have used Data Warehouse in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Nuremberg, Germany who have used Data Warehouse in their recent projects are Information Technology (100%), Banking and Finance (75%), and Healthcare (75%).
The most common business areas among freelancers in Nuremberg, Germany who have used Data Warehouse in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (63%).
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 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
Hanover Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
