Big Data Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Big Data
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
Christian E.
Last position:
Cyber Trust Austria Silver Certification at PrimeFaktor GmbH
Cyber Trust Austria Silver Certification
- Led application and implementation of the Cyber Trust Austria Silver label (KSV1870 Cyber Risk A-Rating; 25 validated controls)
- Mapped and fulfilled requirements covering risk management, incident response, access control, vulnerability and penetration testing, BCM, and supply-chain security, aligned with ISO/IEC 27001/27002 control themes and NIS 2 / NISG 2026 expectations
- Coordinated stakeholders, compiled audit evidence, and completed KSV1870 validation
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)
Axel M.
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.
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)
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
Michael G.
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
Stéphane L.
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 D.
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.
Peter K.
Last position:
Sabbatical
Robert P.
Last position:
Editorial Lead, Falstaff International Online at Falstaff Verlag
Gasper Z.
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using Big Data
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
3 years
Positions per freelancer
13
Top business areas
Project Management, Information Technology, Business Intelligence
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Project Management, Information Technology, Business Intelligence
Bachelor's degree or higher
92%
Master's degree or higher
75%
Doctorate
17%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100%
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 Vienna 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 Vienna 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Big Data 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 (75%)
- Professional Services (75%)
- Banking and Finance (50%)
- Transportation (42%)
- Media and Entertainment (42%)
- Education (33%)
- Manufacturing (33%)
- Government and Administration (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Big Data covers
Big Data refers to methods and systems for collecting, storing and processing information at a scale or speed that traditional databases cannot handle efficiently. It supports batch and real-time workloads, structured and unstructured data, and analytics across many sources. Big Data projects turn raw events, documents and records into usable information.
What it builds
Companies use Big Data to create data platforms, analytical products and operational services that depend on continuous information flows.
- Customer, product and marketing analytics
- Recommendation and personalisation systems
- Fraud, risk and anomaly detection
- Internet of Things and sensor data processing
- Reporting layers for business and regulatory decisions
Ecosystem and tooling
The ecosystem commonly includes Apache Hadoop for distributed storage and processing, Apache Spark for batch and streaming computation, and Kafka for event transport. Specialists also work with cloud services, object storage, SQL and NoSQL databases, workflow orchestration, data catalogues and dashboard tools. Python, Java and Scala are frequent choices for processing applications.
When companies need specialists
Freelance expertise is useful when a company is moving from isolated databases to a shared data platform, replacing fragile pipelines or preparing a migration to the cloud. It can also help when data quality, processing costs or delivery speed are limiting analytics. In Vienna, teams may benefit from professionals who can work remotely across locations while communicating clearly in English or German.
- Data arrives faster than current systems can process it
- Pipelines fail, lose records or lack monitoring
- Teams need governed access to trusted data
- A new analytics or machine learning workload is planned
Skills that matter
Strong professionals understand data modelling, distributed computing, partitioning, schema evolution and fault tolerance. They can design secure ingestion and transformation flows, manage orchestration, test data quality and monitor latency, failures and resource use. Experience with cloud architecture, infrastructure automation and machine learning operations is often valuable alongside core Big Data skills.
How quality is judged
A capable specialist connects technical choices to business outcomes instead of selecting tools by reputation alone. Look for clear designs, reproducible pipelines, documented assumptions and evidence of reliable data delivery. Good work includes access controls, lineage, observability and recovery plans, with costs and future maintenance considered from the start.
Frequently asked questions
Key details about Big Data, drawn from the questions we get asked most.
Big Data is used to process large, fast-moving or varied datasets for analytics and operational decisions. Typical applications include fraud detection, recommendation systems, customer analysis, IoT processing and machine learning data preparation.
Big Data systems distribute storage and processing across multiple machines when one database is not practical or efficient. They are designed for high volume, velocity or variety, while a traditional database may be better for smaller transactional workloads that require strict, consistent updates.
Hadoop remains relevant in some established data estates, especially where its distributed storage and processing components are already in use. Many newer projects use cloud object storage with Spark, managed services and event platforms instead, so the right choice depends on workload, existing systems and operational requirements.
Big Data work often overlaps with cloud infrastructure, data engineering, SQL, Python, Java, Scala, Kafka, Spark, orchestration and data governance. Machine learning operations, security and observability are also useful when the platform supports predictive models or sensitive information.
Big Data projects need a specialist who has handled the specific workload, data constraints and operating environment involved. A focused pipeline may need a different background from a broad platform migration, so assess relevant deliverables, failure handling and production ownership rather than relying on a generic seniority label.
Big Data work is often well suited to remote collaboration because designs, code, infrastructure and monitoring are shared digitally. Vienna teams should agree on communication routines, access controls, working hours and language expectations early, especially when data cannot leave a controlled environment.
Big Data quality is reflected in trustworthy results, resilient pipelines and clear operational ownership. Ask how the specialist handles schema changes, late or duplicated events, data validation, lineage, monitoring, recovery and access permissions.
Big Data expertise goes beyond listing Hadoop, Spark or Kafka on a profile. A strong professional can explain why a design fits the data volume and latency needs, show how it controls failure and cost, and connect technical decisions to the people who use the resulting information.
The average hourly rate of freelancers in Vienna, Austria who have used Big Data in their recent projects is 106 €, which corresponds to a daily rate of about 847 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Big Data in their recent projects, 92% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Big Data in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Vienna, 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 Vienna, Austria who have used Big Data in their recent projects are Information Technology (75%), Professional Services (75%), and Banking and Finance (50%).
The most common business areas among freelancers in Vienna, Austria who have used Big Data in their recent projects are Project Management (100%), Information Technology (92%), and Business Intelligence (75%).
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.
Countries:
Vienna 
Graz Request a free demo
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