Data Warehouse Experts in Essen
matched in minutes with vetted, available specialists and the power of AIHire experts who design reliable analytical data platforms, build ELT pipelines with dbt and Airflow, and model trusted reporting layers across Snowflake, BigQuery or Microsoft Fabric. FRATCH matches you quickly with precise, vetted and available freelancers.
Meet FRATCH Experts in Essen, who have recently used Data Warehouse
Fadi S.
Last position:
Data Scientist at E-Commerce
- Designed and developed a production-ready data platform based on Microsoft Fabric for an e-commerce company
- Built a scalable Medallion Architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as the foundation for analytics and AI applications
- Developed a metadata-driven ETL platform with PySpark and a generic Incremental Loading Framework (SQL Server → Bronze → Silver → Gold)
- Developed reusable components for Microsoft Fabric Notebooks to standardize data integration, transformation, and validation
- Implemented automated data pipelines including monitoring, logging, error handling, and Delta MERGE strategies for stable production operations
- Built a business layer architecture for reporting, data warehousing, and reusable data products
- Integrated heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
- Worked closely with business departments to analyze business requirements and translate them into scalable data architectures
Technologies: Microsoft Fabric, PySpark, Python, SQL Server, Delta Lake, Lakehouse, OneLake, Data Factory, Data Warehouse, REST APIs, Amazon SP-API, Google Analytics 4
Asım Y.
Last position:
Freelance BI/DWH/ETL Specialist at Akbank
- Setting architectural standards for Informatica Power Center development teams
- Maintenance-performance-health for DWH (Exadata) environments
- Qlik Sense / BO reports architectural standards
- Implementing best practices in ETL tasks
- Documentation ETL standards on Confluence
- Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
- DWH Data model Power Designer
- Upgrade Qlik Sense versions
- Merge all Informatica server's repository databases on one Oracle DB
Hervé T.
Last position:
Senior Data Engineer at Schweizerische Post AG
Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python
- Supported customers in implementing an architecture design for extracting and preparing data
- Planned the design and implementation of the BI and DWH platform
- Ensured the scalability and performance of the data platform
Laurin H.
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Abdulhasib M.
Last position:
Power BI Developer / BI Consultant at Telair International GmbH
- Development of Power BI reports, measures, and KPIs for sales, purchasing, materials management, warehousing, and production
- Analysis of the proALPHA database (Progress OpenEdge) and high-performance SQL queries for extraction and transformation
- Data models, ETL processes, and pipelines including automated refresh via Power BI Service and Data Gateway
- Gathering requirements and implementation in close coordination with the specialist departments
Selected projects:
- Sales report: revenue, incoming orders, and order status
- Purchasing report with automated purchase suggestions (Power Automate)
- Monitoring of missing parts for production and materials management
- Production bills of materials on Microsoft Fabric including deployment pipeline (Dev → Prod)
- Forecast comparison report
- Central Power BI apps that bundle all reports by department
Technologies: Power BI, DAX, Power Query (M), SQL, proALPHA, Progress OpenEdge, Microsoft Fabric, Power Automate, Python
Henok A.
Last position:
Founder and Managing Director at Afworki GmbH IT-Consulting
The goal of Afworki GmbH IT-Consulting is to make small and medium-sized companies more competitive by overcoming challenges in digitalization, automation, and data management.
Tailored technology, strategy, and specialist consulting designed to meet the individual needs of each company.
Analyzing the company's current situation and developing the best possible solution together with the client.
Using both agile and classical IT project management methods to deliver projects on time and within budget.
Focusing on automating and orchestrating all data flows in a data warehouse to create a unified and standardized data foundation.
Considering the dependencies between IT and business to achieve sustainable positive effects.
Employing modern strategies and tools specifically tailored to the company's needs.
Supporting digitalization, the introduction of agile working methods, and the creation of up-to-date reports and analyses.
Objective: streamlining management and enabling well-founded, data-driven decision-making.
Alain Gérard E.
Last position:
Business Analysis / Requirements Engineering at 1&1
- Creating the functional specification for a dashboard solution for E2E management in the 5G deployment team in an Open RAN architecture
- Developing dashboards and reports with Power BI Desktop (data connection using Power Query, KPI calculations with DAX, publishing to Power BI Service)
- Developing solutions with Power Apps
- Integrating Power BI reports into Dynamics 365 Business Central
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
Thomas H.
Last position:
Head of Finance (Financial Controller) at Collins Foods Germany
- Built up the finance department after company start-up
- Implemented JD Edwards and SAP Concur
- Responsible for accounting and controlling with a team of 12 employees in the Netherlands and Germany
- Prepared annual financial statements including data preparation and coordination with auditors for audits
- Reported to the CFO, CEO and COO
- Networked and improved collaboration with external and internal partners
- Created budgets and forecasts
- Implemented new financial and invoice processing software
- Managed and controlled projects
- Optimized processes
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
21 years (Germany: 22 years)
Position duration
1.7 years (Germany: 3.2 years)
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Insurance, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
88% (Germany: 89%)
Master's degree or higher
50% (Germany: 59%)
Doctorate
13% (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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Essen 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 Essen 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.
- Information Technology (80%)
- Insurance (60%)
- Manufacturing (60%)
- Healthcare (50%)
- Professional Services (50%)
- Automotive (40%)
- Education (40%)
- Energy (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Analytical Foundation
A data warehouse centralizes structured information from business systems so teams can analyze it consistently. It separates analytical workloads from operational applications and supports dashboards, financial reporting, forecasting and decision-making. A strong design defines clear ownership, history, quality rules and access boundaries from the start.
Core Architecture
Data warehouse work covers ingestion, storage, transformation, semantic modeling and consumption. Experts choose between cloud warehouses, lakehouse patterns and hybrid environments based on data volume, latency, governance and existing systems. They design fact and dimension models, slowly changing dimensions, incremental loads and curated marts for reliable business use.
Tools and Ecosystem
The surrounding stack matters as much as the warehouse itself. Common technologies include Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse Analytics, Databricks and PostgreSQL. Specialists often connect these systems with Fivetran, Airbyte, Kafka, dbt, Airflow, Dagster, Power BI, Tableau or Looker, using SQL, Python and infrastructure-as-code.
Typical Deliverables
Companies bring in freelance specialists for focused delivery or to strengthen an internal data team.
- Assess existing pipelines, schemas and warehouse costs
- Create dimensional models and governed data marts
- Migrate legacy reporting to a cloud warehouse
- Implement testing, lineage, monitoring and documentation
- Prepare trusted datasets for BI, finance or machine learning
When Expertise Matters
External expertise helps when reporting definitions conflict, refreshes fail, or a warehouse has grown without a consistent model. It is also useful during ERP or CRM migrations, acquisitions, cloud transitions and modernisation of legacy ETL. In Essen, specialists may support industrial, logistics, retail and service organisations while coordinating remotely or on site with local teams.
What Strong Specialists Bring
Quality goes beyond writing SQL. Strong professionals explain trade-offs, trace metrics back to source systems and make pipelines observable, testable and recoverable. They understand security, privacy, role-based access, orchestration, performance tuning and cost control. They leave behind maintainable models, clear documentation and a handover that lets the team operate the warehouse confidently.
Frequently asked questions
Before you brief your next project: the most common questions about Data Warehouse.
A Data Warehouse stores and organizes data from systems such as ERP, CRM, finance and web analytics for reporting and analysis. It gives teams consistent definitions, historical context and a controlled foundation for dashboards, planning and business intelligence.
A Data Warehouse usually emphasizes structured, governed data that is ready for analysis. A data lake can retain raw files in many formats, while a lakehouse combines lake storage with warehouse-style tables and governance; the right choice depends on workloads, data types and operating skills.
A strong Data Warehouse specialist often combines advanced SQL with data modeling, Python, ELT design and orchestration. Experience with dbt, Airflow, cloud security, infrastructure-as-code, BI tools and data quality testing is valuable because warehouse delivery spans the entire data lifecycle.
The needed Data Warehouse experience depends on scope and risk, not a fixed number of years. A contained reporting mart may need focused modeling and SQL skills, while a migration or enterprise platform calls for proven architecture, governance, performance tuning and delivery across several source systems.
Yes, much Data Warehouse work can be completed remotely because schemas, pipelines and cloud environments are managed digitally. On-site workshops can still help with requirements, source-system discovery and stakeholder alignment, especially when teams in Essen need close coordination; clear English or German communication should be agreed early.
A Data Warehouse project may use Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric or Azure Synapse Analytics. The best platform depends on the existing cloud, workload patterns, governance needs, team skills and integration requirements rather than on brand preference alone.
Ask a Data Warehouse specialist to explain a past model, the source of key metrics and how failures were detected and recovered. Look for practical evidence of testing, lineage, access control, documentation and performance decisions, not only familiarity with a particular cloud product.
Before starting Data Warehouse work, clarify business definitions, source ownership, refresh expectations, data sensitivity and acceptance criteria. Confirm the warehouse platform, orchestration, deployment process and access model, then agree how undocumented legacy logic and changing requirements will be handled.
The average hourly rate of freelancers in Essen, Germany who have used Data Warehouse in their recent projects is 96 €, which corresponds to a daily rate of about 767 € based on an 8-hour working day.
Of the freelancers in Essen, Germany who have used Data Warehouse in their recent projects, 88% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Essen, Germany who have used Data Warehouse in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Essen, Germany who have used Data Warehouse in their recent projects are German (100%), English (100%), and French (50%).
The most common industries among freelancers in Essen, Germany who have used Data Warehouse in their recent projects are Information Technology (80%), Insurance (60%), and Manufacturing (60%).
The most common business areas among freelancers in Essen, Germany who have used Data Warehouse in their recent projects are Information Technology (90%), Business Intelligence (70%), and Project Management (70%).
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 
Hanover 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
