Big Data Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Big Data
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)
Axel Menzel
Last position:
Interim HR Lead Transformation – International E-Commerce & Logistics Environment at Inpact HR (Interim Management)
- Organizational Design: Strategic realignment of the organizational structure to increase operational excellence and prepare for a scaled shared service model.
- Tech-Driven HR Transformation: Supporting process optimization through the integration of modern automation solutions and AI-powered tools to increase efficiency in workforce management.
- Strategic Change & Rightsizing: Design of a change-management framework to align personnel resources with a new, centralized steering model.
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
Mario Tuta
Last position:
External Lecturer at FH Kufstein Tirol – University of Applied Sciences
- Study: Data Science & Intelligent Analytics
- Module: Big Data Processing
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
Georg Oberdammer
Last position:
CIO / CDO at TroGroup
- Design and execution of the transformation journey of IT & digitization and enablement of the further development of the group
- Development of the global IT & digitization strategy (motto: “ahead of the wave”) based on group standards and USP-driven digital solutions
- Definition of the digital strategy as part of the company’s 2030 strategy with a focus on the value disciplines “operational excellence,” “customer intimacy,” “product leadership”
- Design and implementation of a business-focused, global IT organization, including existing shadow IT parts
- Digital product development with a focus on IoT, data science, AI, software development (DevOps), cloud architecture, and Azure cloud services
- Initiation and ramp-up of the CoE for artificial intelligence and data analytics, including several agentic AI projects
- Definition and global rollout of the enterprise, infrastructure, and application architecture
- Cloud transformation including setup and execution of the global S/4HANA rollout, introducing new capabilities and modules
- Global business process standardization, automation, and end-to-end digitization within and across divisions
- IT/OT integration (shop floor, CAx integration)
- P&L responsibility and further development of digital marketing & sales channels, SEO/SEA, online product configuration, PIM/DAM, eBusiness/eCommerce systems
- Implementation of a global intranet portal and several digital solutions like Workday, Concur, Softconcis, Tacto, xFlow
- Further development of Salesforce beyond CRM into a sales backbone
- Support of M&A and divestiture
- Cyber security excellence, data protection, and NIS2 preparation
- Ramp-up of nearshore and offshore locations (Poland, India)
- Evaluation and implementation of business-value–driven IT innovation like RPA, business process AI, and low-code
- IT budgeting and controlling, KPI reporting, and negotiation of large IT contracts
- Global recruiting, people retention, and development
- Stakeholder management with executive management and heads of divisions
Marianne Pollak
Last position:
Senior PM Public Health Care at Freelance
- MSFT Dynamics 365 Sales Implementation
- MSFT Dynamics 365 Customer Insights Journey Implementation
Stéphane Loyet
Last position:
Expert BI Consultant at Freelance
- Project management
- Design, optimization, query, reporting, and data modeling
- Liaising with clients / training
- Design, optimization, and development of query, reporting, and data architecture
- SAP SAC
- Story
- Data Action
- Planning
- SAP Datasphere
- SAP BTP
- MS Power BI
- DAX
- Power Query
- IBM Cognos Reporting
- Framework Manager
Attila Danics
Last position:
Full-Stack Software Engineer at Research Data Evaluation
- Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
- Designed and developed back- and frontend.
- Delivered end-to-end solution.
- Accelerated research timeline by 2 months.
Bernhard Keprt
Last position:
AI Consultant at Bitpanda
- Advising on AI strategy and implementation for one of Europe's leading digital asset platforms
- Helping teams integrate agentic AI workflows, optimize developer productivity through AI-assisted tooling, and evaluate emerging AI technologies for fintech applications
Manfred Schmidl
Last position:
Data Solutions Consultant at ONECEPT GmbH
- As a Data Engineer and Cloud Architect, I am implementing various use cases for our customers.
- From a technical point of view, the focus is on data integration projects in Azure, specializing in data and Delta Lakes using the Apache Framework or Azure products like Synapse Analytics or Fabric.
Peter Klosa
Last position:
Sabbatical
Gasper Zerak
Last position:
Senior BI Consultant at PMONE GmbH
Robert Prazak
Last position:
Editorial Lead, Falstaff International Online at Falstaff Verlag
Discover over 15,000 top freelancers
Statistics of experts using Big Data
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
2.7 years
Positions per freelancer
13
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Professional Services, Education
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
64%
Doctorate
14%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
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 Big Data
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
Data at scale
Big Data covers the systems and methods used to store, move, process, and analyze very large or fast-changing data sets. It is used for reporting, forecasting, customer insight, fraud checks, and operational monitoring. The goal is simple: turn large volumes of raw data into decisions you can trust.
Common stacks
Typical work often centers on:
- Hadoop for distributed storage and batch processing
- Apache Spark for large-scale data processing
- Kafka for event streams and real-time pipelines
- Hive, Trino, or similar query layers for access
- Data lake and lakehouse designs for shared data use
Typical projects
Companies bring in specialists for pipeline builds, platform migrations, performance tuning, and data model cleanup. They also need help with streaming jobs, ETL and ELT flows, and governance across many sources. In Austria, this often supports finance, industry, retail, logistics, and public-sector reporting.
When to hire
Big Data expertise matters when data grows faster than current tools, jobs fail under load, or teams cannot agree on one reliable source of truth. It also helps when a Hadoop setup needs modernization or when Spark and storage costs need control. Strong professionals spot bottlenecks early and keep delivery practical.
What strong experts do
A solid specialist knows both the platform and the data itself. They write clear processing logic, test for data quality, and design systems that are maintainable after handover.
- build batch and streaming pipelines
- improve query and job performance
- set up reliable ingestion and validation
- align data access with business needs
- document the flow for long-term use
Work model
Big Data work can be remote, but close collaboration helps when sources, security rules, or legacy clusters are complex. Many teams in Austria prefer a mix of remote delivery and short on-site sessions for workshops, reviews, and handover. Clear communication matters as much as technical depth.
Frequently asked questions
What clients ask us most about Big Data — answered in short.
Big Data usually means the pipelines, storage layers, and processing systems that handle large or fast-moving data sets. Companies use it to combine operational data, logs, events, and external sources into something usable for analytics and decision-making. It is less about a single tool and more about the full data flow.
Big Data is the broader discipline, while Hadoop and Spark are common parts of its stack. Hadoop is often linked to older distributed storage and batch processing setups, and Spark is widely used for faster processing and analytics. A strong specialist should understand when each tool fits and when a newer lakehouse or streaming design is better.
A strong Big Data specialist usually knows SQL, data modeling, cloud storage, and scripting in languages like Python or Scala. Depending on the project, Kafka, Airflow, dbt, and security or governance tooling can also matter. The best people connect platform work with clean, usable data for the business.
A Big Data project needs enough depth to avoid fragile pipelines and expensive rework. Simple reporting support may need a focused specialist, while migrations, streaming, or platform redesigns need someone who has handled production data under real load. The key is proven delivery in similar systems, not a generic résumé.
Hire Big Data expertise when internal teams are blocked by scale, performance, or architecture decisions. It also makes sense when you need temporary help for a migration, a new data platform, or a review of existing jobs and schemas. Freelancers are useful when speed and focused knowledge matter more than a long hiring process.
Yes, much Big Data work can be done remotely if the data access, security, and review process are set up well. In Austria, teams often mix remote work with occasional on-site time for planning, compliance discussions, or handover sessions. That balance works well when systems are complex or cross-functional.
Look for clear examples of production pipelines, performance fixes, and data quality controls in Big Data projects. Good specialists explain trade-offs, document their work, and think about handover from the start. If they only talk about tools and cannot describe outcomes, that is a warning sign.
No, Big Data now covers batch, streaming, and hybrid setups. Many modern systems combine event streams, scheduled processing, and interactive query layers so teams can act on data quickly. A capable specialist should know how to design for both historical analysis and near-real-time use.
The average hourly rate of freelancers in Austria who have used Big Data in their recent projects is 104 €, which corresponds to a daily rate of about 835 € based on an 8-hour working day.
Of the freelancers in Austria who have used Big Data in their recent projects, 86% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Austria who have used Big Data in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Austria who have used Big Data in their recent projects are German (100%), English (100%), and French (50%).
The most common industries among freelancers in Austria who have used Big Data in their recent projects are Information Technology (79%), Professional Services (57%), and Education (43%).
The most common business areas among freelancers in Austria who have used Big Data in their recent projects are Information Technology (93%), Project Management (93%), and Business Intelligence (79%).
Main locations of FRATCH Experts, who have recently used Big Data
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
