Data Warehouse Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Data Warehouse
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and Zero-Knowledge encryption, cloud-native on EU infrastructure
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Thomas P.
Last position:
Change Manager / AI-driven Finance Transformation at Agrana
Organizational Change Management for the strategic setup of a hybrid GBS rollout as part of a global, AI-driven Finance Transformation. End-to-end management of the OCM architecture in a highly complex on-, near-, and offshore partner setup [IN, PL, RO]. Successful completion of Phase 1 (Initial Strategy) and strategic pausing by the Executive Board after the early disclosure of critical vendor-side OPEX risks
Systemic Baseline Assessment & Stakeholder Diagnostics: Evaluation of the global organization and analysis of the process landscape across 21 countries [AT, DE, CH, FR, UK, SI, RO, UA, RU, US, CD, CN, AR, MX, ZA, IN, JP] to precisely determine change requirements
Architecting the OCM Strategy & Master Roadmap: Independent development of a comprehensive, AI-centered Change Roadmap for end-to-end management of all change initiatives across every project phase
Data Quality & AI Agent Risk Mitigation: Auditing of Process Data Repositories (Celonis analysis); prevention of the ingestion of 58% synthetic training data to safeguard AI model reliability amid geopolitical supply chain tensions
GBS Vendor BAFO Triage & Contractual Commitment: Critical review of Tier-1 vendor pitches and contractual commitment to a reduced Non-STP rate (from 7% to 4%) to avoid extreme manual rework with a planned FTE reduction (-63%)
Executive Enablement & Board Alignment: Design of the GBS Transformation Executive Board Deck to strategically enable C-level executives and transparently present completely overlooked AI tokenization costs
Targeted Change Communications & Engagement: Design and development of audience-specific communication measures to align the highly diverse, globally distributed stakeholder network
Adoption Velocity & Resistance Measurement: Engineering of quantitative measurement tools (Pulse Check Survey) using Behavioral Dyads to identify resistance based on data and ensure sustainable success measurement
Results:
- Avoidance of disruptive misallocations: Stopping the ingestion of 58% synthetic AI-agent training data after discovering only 42% compatibility with existing processes, preventing critical GBS cascade errors
- Significant OPEX & effort reduction: Reduction of the Non-STP rate in Tier-1 vendor BAFOs from 7% to 4% alongside an impending 63% Finance-FTE reduction; avoidance of thousands of time-consuming manual correction processes
- 100% Delivery of the OCM architecture & ROI protection: Delivery of all OCM artifacts (Change Roadmap, Comms Plan, Executive Board Deck, Pulse Check Survey) and protection of ROI by identifying incalculable LLM runtime token costs
Garrett T.
Last position:
Transformation Advisor for SAP at Garrett Tedeman, CPA LLC
Independent practice serving clients in SAC-P and AI-enabled FP&A transformation, including financial model development for PE firm engagements, data cleansing with PowerQuery, workflow automation Claude Cowork, SAC-P scoping task-based assignments (Micro1.ai & Mercor.ai), and SAP partner network development.
- 2026 – Completed significant upgrade training for Positioning Business AI and SAP Cloud ALM Workshop (In-Person). Live Demos • SAC-P & Excel-Based Reports • Claude Partner • SAP Partner#: 1961209 (OE – Build)
- Fall 2026 – New effort to re-train/update past FI/CO, SAP BPC, SAP Platform to S/4 Finance & Core G/L Accounting
- 2026 – Upskilling for Transformation Toolchain. In-Person Workshops: Cloud ALM & SAP BTP • Joule Demo(s)
- 2025 – FP&A processes • Datasphere & Business Data Cloud • Team Workshops for AI • Toolchain & SAP Cloud ALM
- 2024 – Built key credentials on Deloitte S4 Experience • Group Reporting and SAC-P
Karl F.
Last position:
Managing Director at ONECEPT GmbH
Octavian G.
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
Yunus S.
Last position:
Senior Expert / Program Manager at Dolpheen IT
Senior Expert / Program Manager
IT Services
- Management of internal projects for infrastructure modernization: setup and maintenance of test environments that realistically replicate complex customer networks.
- Resource coordination: planning server capacities and cloud resources for automated test runs.
- Implementation of CI/CD pipelines to integrate automated tests into the build process.
- Evaluation of performance bottlenecks through load testing (NeoLoad/JMeter) to ensure scalability.
Tools / Technologies: Jenkins, Docker, GIT, ButBucket, NeoLoad, Azure
Stefan D.
Last position:
BI Consultant in Controlling at Reutter GmbH
- Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
- Creation of sales reports in Power BI
- Training employees in business intelligence
- Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)
Nikola N.
Last position:
Founder and CEO - Senior Business Analyst at fintechno AI GmbH
- Business analysis
- Requirements engineering
- System design
- Various insurance projects
- Technology stack: msg.Billing (InExkasso)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Elija L.
Last position:
Fujitsu Deutschland
- Supporting and helping shape the development and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
- Design and implementation of data modeling, ETL processes, reporting, and data quality management
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Immo M.
Last position:
Interim Manager/Management Consultant at Austrian regional energy supplier
Further development of the data analytics system landscape based on MS Power BI
- Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
- Support in the concept and development of data models in Azure Synapse Analytics
- Gathering and implementation of requirements in the data analytics area from internal business units
- Identification, documentation and analysis of existing as well as cross-functional processes
- Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
- Design of reports and dashboards based on MS Power BI
- Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
- Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
- Power Apps for write-back processes from Power BI Premium to Azure SQL DB
- Power BI support as part of the SAP S/4 conversion
- Cooperation with internal business units and external development partners
- Coaching/training, documentation, development processes
Laura H.
Last position:
Sr. BI Consultant & Project Manager at Multivariata
- Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
- Product Manager: Asset Metadata Ingest & Provide
- Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
- Product Owner for setting up a reporting platform on Azure & Power BI (finance)
Anton L.
Last position:
Self-employed at Controlling Lab eU
Business intelligence and digitalization projects
Controlling as a Service
Financial accounting and payroll accounting
Interim management
Business Intelligence Competence Team (2025-2026) at a food retailer (21 Bn. revenue, 52k employees): Project work at the interface between the finance department and IT service provider; various implementation projects in reporting and business intelligence
Consulting services (2025-2026) for a biotech startup (3 Mio. revenue, 20 employees): Optimization and automation of accounting and controlling processes; introduction of a central data warehouse system for planning and reporting
Consulting services (2025-2026) in the broadcasting and telecommunications industry (130 Mio. revenue, 200 employees): Analysis and troubleshooting of financial processes in the BSS system (customer management and billing system)
Consulting services (2024) in the broadcasting and telecommunications industry (130 Mio. revenue, 200 employees): Migration and implementation of cost accounting in a new database system
Consulting services (2025-2026) for advertising/marketing agencies (40 Mio. revenue, 450 employees): Establishment of group-wide cash management in the holding company, liquidity planning, receivables management and consolidation
Fabio G.
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Christian P.
Last position:
Migration Lead for Accounting & Year-End Closing Tests at Raiffeisenverband Salzburg
- Project and test management for the accounting migration
- Coordination of resources
- Planning, creation and alignment of scenarios with functional experts and IT product owners
- Responsibility for accounting KPIs of the migration cockpit
- System environment: Jira, XRay, Confluence
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
3.2 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
76%
Doctorate
9%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
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 Austria 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 Austria 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 (88%)
- Banking and Finance (68%)
- Professional Services (43%)
- Telecommunication (43%)
- Education (38%)
- Transportation (38%)
- Manufacturing (38%)
- Retail (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Enterprise Analytical Foundations
A modern enterprise data warehouse consolidates operational records from ERP systems, CRM applications, and production databases into a structured analytical source. It provides governed, historical reporting capabilities for business intelligence teams and regulatory compliance.
Core Architectures and Standards
Organizations rely on proven modeling methodologies to ensure high performance and data integrity across analytical workloads.
- Dimensional modeling utilizing Kimball star schemas and Snowflake schemas
- Data Vault modeling for auditable enterprise data integration
- Layered staging, transformation, and presentation data marts
- Slowly Changing Dimensions to preserve transactional history
The Modern Cloud Analytics Ecosystem
Cloud platforms have modernized traditional data warehousing architectures. Common technology environments include Snowflake, Google BigQuery, and Amazon Redshift, integrated alongside orchestration tools like dbt, Apache Airflow, and transformation platforms like Databricks or Fivetran.
Austria's Industrial Analytics Demands
Austrian enterprises across banking, industrial manufacturing, and regional retail operate under strict data residency and compliance guidelines. Freelance professionals design analytical repositories that meet European privacy frameworks while supporting bilingual reporting requirements across international and regional branch networks.
Indicators Requiring Specialist Support
Internal teams seek external technical guidance when legacy reporting pipelines become bottlenecks for corporate decision-making.
- Unacceptably long refresh cycles in scheduled ETL and ELT batch runs
- Conflicting metrics and fragmented definitions across business departments
- Legacy on-premise infrastructure migrating toward scalable cloud engines
- Growing consumption of downstream Power BI or Tableau dashboards
Distinguishing Attributes of Senior Talent
Strong data warehouse specialists possess deep SQL expertise alongside disciplined data governance practices. They anticipate storage partition strategies, understand concurrency bottlenecks, and write clean, reproducible schema migrations rather than merely generating ad hoc analytical views.
Frequently asked questions
Everything clients usually want to know about Data Warehouse, in one place.
A data warehouse centralizes structured operational data from disparate transaction systems to provide a unified baseline for analytical reporting. It enables organizations to generate business intelligence, observe long-term trends, and maintain clean audit trails without degrading the performance of active production databases.
While a data lake stores raw, unstructured or semi-structured data for exploratory exploration, an enterprise DWH organizes structured data into predefined schemas optimized for fast SQL queries. Many modern businesses connect both concepts through lakehouse architectures, blending flexible object storage with traditional analytical governance.
Most projects rely on dimensional modeling utilizing star and snowflake schemas for straightforward reporting consumption. In complex enterprise environments, specialists often implement Data Vault 2.0 within the core data warehouse layer to maintain full traceability across hundreds of upstream source systems.
A cloud data warehouse typically operates alongside platforms such as Snowflake, BigQuery, or Redshift. Transformation layers frequently use dbt for testing and lineage, orchestrated by Apache Airflow, with ingestion pipelines managed by Fivetran or native streaming connectors.
Companies engage a freelance data warehouse specialist during cloud migration initiatives, when redesigning slow legacy schemas, or when establishing core governance standards. External professionals provide focused architectural insight, preventing costly table redesigns and performance issues later on.
Most Austrian engagements with a data warehouse expert operate under a hybrid or fully remote structure. Periodic on-site meetings in hubs like Vienna, Linz, or Graz are common during initial architectural design and stakeholder interviews, while development proceeds remotely.
Technical documentation, code repositories, and dbt models for a cloud data warehouse are universally authored in English. However, client-facing collaboration, data catalog definitions, and regulatory discussions with Austrian business stakeholders often require professional German proficiency.
Evaluate candidates by examining their understanding of query execution plans, partitioning strategies, and incremental loading techniques. An exceptional data warehouse professional balances performant SQL writing with sound architectural design, emphasizing clear documentation and automated testing.
The average hourly rate of freelancers in Austria who have used Data Warehouse in their recent projects is 108 €, which corresponds to a daily rate of about 864 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Warehouse in their recent projects, 91% hold at least a Bachelor's degree, 76% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Austria who have used Data Warehouse in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers in Austria who have used Data Warehouse in their recent projects are German (100%), English (95%), and French (25%).
The most common industries among freelancers in Austria who have used Data Warehouse in their recent projects are Information Technology (88%), Banking and Finance (68%), and Professional Services (43%).
The most common business areas among freelancers in Austria who have used Data Warehouse in their recent projects are Information Technology (100%), Business Intelligence (90%), 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.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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Philipp Thomaschewski
FRATCH CEO
