Data Warehouse Experts in Cologne
matched in minutes from over 15,000 CVsHire experts who design analytical data models, build reliable ETL and ELT pipelines, and connect cloud or on-premise warehouse environments. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical and delivery needs.
Meet FRATCH Experts in Cologne, who have recently used Data Warehouse
Alexander B.
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Rainer L.
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
Assessment of the current state
Evaluation of Redgate Flyway functionalities
Concept development
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Knowledge: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Emmanouil T.
Last position:
Senior Analytics Engineer at Trade Republic Bank GmbH
- Implementation of analytics and automation solutions for the Anti Financial Crime business unit
- Providing the infrastructure, including reusable data models and feature ingestion for production ML and rule based models in the areas of Account Take-Over and Card fraud detection, as well as Customer Risk Assessment
- Tools used: Snowflake, dbt, Looker, AWS, Python, Airflow, Metaflow
Peter W.
Last position:
Business Analyst at Finanz Informatik GmbH & Co. KG
- Maintenance and further development of the OSPlus software in the cash operations area
- Use of IBM Notes and HP Quality Center
Peter B.
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
Giovanni S.
Last position:
Technical Product Manager at Logicc GmbH
Acted as the primary bridge between Legal, Engineering, and Business units to ensure zero compliance violations while maintaining product velocity.
Led the development of a GDPR-compliant AI aggregator platform, managing a roadmap that balances legal constraints with aggressive feature delivery.
Scaled the engineering team from 4 to 9 developers, establishing hiring protocols and technical onboarding processes to support rapid product iteration.
Boosted the development process by introducing structured sprint cycles and backlog refinement, resulting in a 20% reduction in feature delivery time.
Architected and prototyped agentic AI workflows with n8n and RAG pipelines on Langchain.
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
Robert M.
Last position:
Air traffic tax German Customs Administration SOAP Webservices Client Requests at Team GmbH
In the citizens' and business customer portal of the Customs Administration, airlines submit applications for departures and landings every month
These applications are forwarded to the caseworkers via SOAP web service and, after review and processing, any queries or notifications are returned via SOAP web service
PL/SQL programming of SOAP webservices client requests for HTTP/XML message exchange between the BuG portal and the caseworkers
New creation and change requests for Forms and Reports 12 modules
Forms applications start and read SOAP webservice requests via PL/SQL packages, process them and send Reports 12 documents to the airlines
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 22 years)
Position duration
2.1 years (Germany: 3.2 years)
Positions per freelancer
13
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Banking and Finance, Information Technology, Chemical
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
88% (Germany: 89%)
Master's degree or higher
63% (Germany: 59%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
88% (Germany: 95%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Cologne 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 Cologne 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 29 Oct 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.
- Banking and Finance (75%)
- Information Technology (75%)
- Chemical (63%)
- Education (50%)
- Insurance (50%)
- Transportation (50%)
- Manufacturing (50%)
- Professional Services (50%)
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 performance, trends and processes consistently. It separates analytical workloads from transactional applications and gives teams a governed basis for reporting, dashboards, forecasting and decision-making. A strong warehouse design accounts for data volume, refresh needs, ownership and access rules.
Core architecture
Projects may use a traditional on-premise warehouse, a cloud warehouse or a lakehouse pattern that combines flexible storage with structured analytics. Specialists choose dimensional, normalized or hybrid models based on the business questions and source systems. They also define staging, transformation, serving and semantic layers so that reports use shared definitions instead of disconnected extracts.
Ecosystem and tooling
Data Warehouse work often includes SQL, data modeling and orchestration alongside a broad tooling ecosystem. Common environments include Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse and Databricks, with tools such as dbt, Airflow, Fivetran or Azure Data Factory supporting ingestion and transformation.
- Source-system analysis and ingestion design
- Dimensional modeling and warehouse schema design
- Batch, streaming or incremental transformation workflows
- Data quality checks, lineage and documentation
When expertise matters
Companies bring in freelance specialists when reporting is slow, definitions conflict or a legacy warehouse no longer supports new sources and use cases. They may need a focused migration, a new analytics foundation, or extra capacity during a merger, ERP rollout or cloud transition. In Cologne, experts may collaborate with local teams on-site or deliver the work remotely across Germany, depending on security and workshop needs.
Delivery and adjacent skills
Effective delivery connects warehouse design with business priorities. Professionals should be comfortable with source-system discovery, SQL performance tuning, orchestration, metadata, access control, backup planning and cost-aware cloud configuration. They often work closely with BI specialists, data analysts, software teams and finance or operations stakeholders to turn business definitions into usable models.
- Reconcile source data and define trusted business metrics
- Implement tests for freshness, completeness and validity
- Improve query performance and workload management
- Prepare migration, release and operational handover plans
What strong specialists show
Strong professionals explain trade-offs clearly and can trace a metric from a dashboard back to its source and transformation logic. They establish ownership, documentation and monitoring rather than treating the warehouse as a one-time build. Look for evidence of stable pipelines, practical incident handling, controlled changes and models that remain understandable as teams and data sources evolve.
Frequently asked questions
Before you brief your next project: the most common questions about Data Warehouse.
A data warehouse stores integrated information from business systems for reporting, analysis and decision support. It supports consistent metrics across finance, sales, operations and other functions without placing analytical pressure on transactional applications.
A data warehouse usually stores curated, structured data that is ready for trusted analysis. A data lake can retain raw data in many formats, which offers flexibility but requires strong governance and transformation practices before business users can rely on it.
A data warehouse specialist should commonly bring strong SQL, data modeling and pipeline skills. Experience with cloud infrastructure, orchestration, dbt, BI tools, data quality, security and source systems such as ERP or CRM platforms is also valuable.
A data warehouse project needs a specialist who has handled the relevant source systems, data volumes and operating model, not simply someone familiar with the product name. A small reporting foundation may need focused delivery, while a migration or enterprise model requires deeper architecture, governance and operational experience.
Yes, data warehouse work is often suitable for remote collaboration because design, SQL development, testing and documentation can be managed digitally. On-site sessions in Cologne can still help with source-system discovery, stakeholder workshops or access arrangements involving sensitive company data.
A strong data warehouse specialist can show how they validate source data, document transformations, monitor pipeline health and protect sensitive information. Ask for concrete examples of metric reconciliation, failure handling, performance tuning and handover rather than relying only on tool familiarity.
A data warehouse in the cloud can suit companies that need elastic capacity, managed operations or faster access to cloud-based sources. An on-premise warehouse may remain appropriate when data residency, existing infrastructure, network constraints or internal operating capabilities are decisive.
A data warehouse freelancer should clarify the business goals, source ownership, data refresh expectations, target architecture, access constraints and definition of success. It is also important to understand who maintains pipelines, approves metric changes and supports the system after delivery.
The average hourly rate of freelancers in Cologne, Germany who have used Data Warehouse in their recent projects is 92 €, which corresponds to a daily rate of about 735 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Data Warehouse in their recent projects, 88% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Data Warehouse in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Cologne, Germany who have used Data Warehouse in their recent projects are German (100%), English (88%), and French (25%).
The most common industries among freelancers in Cologne, Germany who have used Data Warehouse in their recent projects are Banking and Finance (75%), Information Technology (75%), and Chemical (63%).
The most common business areas among freelancers in Cologne, Germany who have used Data Warehouse in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (88%).
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 
Frankfurt 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
Hanover 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
