Data Warehouse Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Data Warehouse
Thomas Pacal
Last position:
Change Manager / Sales Transformation at SEFE
- Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
- Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
- Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
- Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
- Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
- Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
- Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
- Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
- Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
- Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.
Stefan Dangubic
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)
Immo Mohrenschildt
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
Nikola Neloski
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 (in-/ex-collection)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Elija Lechner
Last position:
Fujitsu Germany
- Supporting and helping shape the setup 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
- Designing and implementing data modeling, ETL processes, reporting, and data quality management
Fabio Galvagni
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
Hossein Adibpouya
Last position:
Datawarehouse Consultant at LENZING AG
- Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
- Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
- Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.
Christian Piffer
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
Jerry Bousardo
Last position:
Owner at DIGIPM Consulting e.U.
From 02/2023 to 05/2024: IT interim manager within an international construction chemicals group headquartered in Germany as Global TSA Manager in a carve-out project responsible for the IT workstream.
From 06/2024: IT consulting in project management and IT service management areas, providing PM/PMO coaching and support.
Frank Welk
Last position:
Software Development at REI and EMI
- Code review, bug fixing, and new development of program code in PL/SQL and Oracle Forms
- Migration of the database version to Oracle 12/19 and migration of the Oracle Forms environment from client-server to web (6i → 12c)
- Fixing blocking sessions and implementing new workflow requirements
- Use of PL/SQL packages, procedures, functions, database triggers, batch files, and Java applications
- Revision of screen masks based on Oracle Forms and client-side PL/SQL code
- Business handling of issuing and processing vouchers (REI = Reimbursement; EMI = Emission), including billing with acceptance partners
- Agile development based on SCRUM with monthly sprints and weekly coordination meetings
Michael Gonschor
Last position:
Scrummaster at Xenovo
Planning and monitoring sprints and holding the scheduled meetings
Analyzing and resolving issues in the development process
Error analysis, bug management and correction in individual process steps
Stakeholder management
Documentation and improvement of the development process
Tools: JIRA, Confluence
Nikolaus Jäger-Grassl
Last position:
Integration Architect at CECIL
Designed an API-first omnichannel integration, linking WhatsApp Business API with Salesforce Marketing Cloud to unify customer data across multiple platforms.
Automated customer onboarding and engagement workflows using Marketing Cloud Journeys, SSJS, and Azure Functions.
Developed a middleware layer to sync WhatsApp interactions with Sales Cloud for seamless customer experience tracking.
Benjamin Auer
Last position:
Multi-Project Manager at Trading Company
- Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
- Backend modernization project (Budget ~€5M 2025 – 2026)
- Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)
Gerald Gastgeb
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
Anton Larch
Last position:
Self-employed at Controlling Lab eU
Business intelligence and digitization projects
Controlling as a Service
Financial accounting and payroll
Interim management
Business Intelligence Competence Team (2025) at a food retail company (EUR 21bn revenue, 52k employees): project work at the interface between the finance department and the IT service provider; various implementation projects in reporting and business intelligence
Consulting services (2025) for a biotech startup (EUR 5m revenue, 25 employees): optimizing and automating accounting and controlling processes; introduction of a central data warehouse system for planning and reporting
Consulting services (2025) in the broadcasting and telecommunications industry (EUR 130m 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 (EUR 130m revenue, 200 employees): transfer and implementation of cost accounting into a new database system
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
3.4 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
90%
Master's degree or higher
72%
Doctorate
10%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
94%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Austria 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
A data warehouse is a central place for cleaned, structured data used for reporting, analysis, and business control. It pulls together sources like CRM, ERP, web events, and finance systems into a model that teams can trust. People also search for DWH, EDW, or enterprise data warehouse work.
Common work
- Data modelling for facts, dimensions, and business metrics
- ETL and ELT pipeline design
- SQL transformation and query tuning
- BI-ready layers for dashboards and self-service analytics
- Migration from legacy reporting stores or data marts
Stack and tools
Strong professionals working with a data warehouse know SQL well and understand orchestration, transformation, and storage patterns. Depending on the stack, that may include Snowflake, BigQuery, Amazon Redshift, Azure Synapse, dbt, Airflow, or Informatica. They also know how to handle slowly changing dimensions, incremental loads, and data quality checks.
When to bring in help
Companies usually bring in freelance expertise when reporting is inconsistent, loads are slow, or the current model no longer fits the business. That is common in Austria too, especially for firms with regional finance, manufacturing, retail, or SaaS data spread across several systems. Freelancers can support greenfield builds, rescue work, or a specific migration without long ramp-up.
What strong experts do
A strong Data Warehouse specialist keeps the model simple enough for analysts and strict enough for governed reporting. They document lineage, naming, and refresh logic so teams can maintain it later.
- clear business definitions for core metrics
- reliable batch or near-real-time loading patterns
- performance-aware joins, partitions, and aggregates
- error handling, reconciliation, and data testing
How projects usually run
Work often starts with source review, business rules, and a target model. From there, the expert builds pipelines, validates results with stakeholders, and adapts the warehouse as new sources appear. The best freelancers can work remote, but they also fit on-site workshops when domain knowledge or close coordination matters.
Frequently asked questions
Everything clients usually want to know about Data Warehouse, in one place.
A Data Warehouse is used to combine business data from many systems into one trusted layer for analysis and reporting. It supports dashboards, regulatory reporting, financial control, and operational reviews. It is not meant for raw transactional work; it is built for consistent reads and clear business logic.
A Data Warehouse stores cleaned, structured data shaped for queries and reporting. A data lake is broader and usually keeps raw or semi-structured data with less upfront modelling. Many companies use both: the lake for landing and exploration, the warehouse for governed analytics.
A Data Warehouse specialist often works with SQL plus cloud platforms such as Snowflake, BigQuery, Amazon Redshift, or Azure Synapse. dbt is common for transformations, while Airflow or similar tools handle orchestration. The exact stack depends on whether the focus is batch reporting, semantic layers, or migration work.
A strong Data Warehouse freelancer also understands data modelling, ETL or ELT design, and data quality checks. Knowledge of BI tools, source-system integration, and performance tuning matters too. If the project touches governance, lineage, or access control, those skills are valuable as well.
A Data Warehouse project does not always need a large team, but it does need someone who has shipped real models and pipelines before. Simple reporting layers can be handled by one specialist, while migrations or multi-domain setups need deeper experience. The key is prior work on similar source systems and data volumes.
Yes, Data Warehouse work is often remote because the core tasks are modelling, SQL, pipeline design, and review sessions. In Austria, remote collaboration works well when source access, business rules, and stakeholder feedback are clearly organised. On-site time still helps during discovery workshops or when teams need close alignment on definitions.
A good Data Warehouse professional can explain why a model was shaped a certain way, how it is tested, and how failures are handled. Look for clear examples of reconciliation, incremental loads, and performance fixes rather than vague tool names. Strong answers sound practical, not theoretical.
DWH is a common shorthand for data warehouse, while EDW usually means enterprise data warehouse. They describe the same family of work, but EDW often points to a broader company-wide reporting layer. In searches, people may use all three terms when looking for the right specialist.
The average hourly rate of freelancers in Austria who have used Data Warehouse in their recent projects is 112 €, which corresponds to a daily rate of about 898 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Warehouse in their recent projects, 90% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Austria who have used Data Warehouse in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 3.4 years.
The most common languages among freelancers in Austria who have used Data Warehouse in their recent projects are German (100%), English (94%), and French (26%).
The most common industries among freelancers in Austria who have used Data Warehouse in their recent projects are Information Technology (82%), Banking and Finance (65%), and Manufacturing (44%).
The most common business areas among freelancers in Austria who have used Data Warehouse in their recent projects are Information Technology (100%), Business Intelligence (88%), and Project Management (68%).
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
