Big Data Experts in Austria
for scalable data products, matched in minutes with vetted specialistsHire experts who design data platforms, build Apache Spark and Hadoop pipelines, and turn streaming or batch data into reliable analytics. FRATCH matches you quickly and precisely with vetted, available freelancers for your Big Data project.
Meet FRATCH Experts in Austria, 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
Karl F.
Last position:
Managing Director at ONECEPT GmbH
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
Mario T.
Last position:
External Lecturer at FH Kufstein Tirol – University of Applied Sciences
- Study: Data Science & Intelligent Analytics
- Module: Big Data Processing
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
Martin R.
Last position:
Interim CTO at optiserv GmbH / optiflow-pmc GmbH
- Took over CTO responsibilities in a technology company with approximately 50 employees after majority acquisition by a new investor
- Turned around product development by defining and focusing on product strategy and goals
- Prioritized projects by business value and reduced the number of parallel development projects
- Introduced critical chain project management (CCPM) and portfolio management methodologies
Marianne P.
Last position:
Senior PM Public Health Care at Freelance
- MSFT Dynamics 365 Sales Implementation
- MSFT Dynamics 365 Customer Insights Journey Implementation
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.
Bernhard K.
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 S.
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.
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
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
88%
Master's degree or higher
65%
Doctorate
12%
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 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 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 (83%)
- Professional Services (61%)
- Banking and Finance (50%)
- Education (44%)
- Manufacturing (39%)
- Media and Entertainment (39%)
- Automotive (33%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data at scale
Big Data covers the methods and systems used to collect, store, process, and analyze datasets that are too large, fast, or varied for traditional databases. It supports operational reporting, recommendation systems, fraud detection, forecasting, personalization, and machine learning. The work spans data ingestion, distributed storage, processing, governance, and delivery to business users or applications.
Core architecture
A Big Data solution may combine event streams, batch sources, data lakes, warehouses, and serving layers. Specialists choose between cloud and on-premises designs based on latency, security, workload, and operating needs. They define schemas, partitioning, retention, access controls, and recovery plans so that growth does not make the platform unreliable or difficult to manage.
Ecosystem and tooling
Common technologies include Apache Hadoop, Apache Spark, Kafka, Flink, Hive, Trino, Airflow, and cloud data services. Strong professionals connect these components with SQL, Python, Java, or Scala and automate infrastructure and deployment. They also work with object storage, Kubernetes, monitoring, data catalogs, and orchestration tools where the platform requires them.
Typical projects
- Build batch and real-time ingestion pipelines from applications, devices, and business systems
- Create lakehouse or data lake structures for analytics and machine learning
- Migrate Hadoop or warehouse workloads to a scalable cloud environment
- Improve Spark jobs, streaming flows, partitioning, and query performance
- Establish data quality checks, lineage, access rules, and observability
When expertise matters
Companies bring in freelance specialists when a data platform must be modernized, expanded, or stabilized without slowing core teams. Typical signals include failed pipeline runs, rising cloud usage, slow dashboards, unclear ownership, duplicated data, or a new streaming and machine learning initiative. In Austria, remote collaboration can suit distributed teams, while on-site work may help with workshops, regulated environments, or complex legacy systems.
What strong specialists deliver
The best professionals connect technical design to measurable business use. They document trade-offs, test failure scenarios, protect sensitive data, and make pipelines observable rather than relying on manual checks. Look for experience with production-scale operations, clear communication across data and business teams, and deliverables such as architecture plans, working pipelines, runbooks, tests, and handover documentation.
Frequently asked questions
What clients ask us most about Big Data — answered in short.
Big Data is used to process large, fast-moving, or diverse datasets for analytics and operational decisions. Common applications include fraud detection, recommendations, forecasting, customer analysis, sensor processing, and machine learning.
Big Data platforms are designed for distributed processing and flexible data types, including logs, events, documents, and sensor data. A traditional warehouse usually focuses on structured, curated data and consistent reporting, although modern lakehouse designs increasingly combine both approaches.
A strong Big Data specialist usually works comfortably with SQL, Python, Java, or Scala, plus cloud storage, APIs, infrastructure automation, and data modeling. Experience with Kafka, Kubernetes, orchestration, security, and machine learning workflows can also be important depending on the project.
Big Data work can range from a focused pipeline improvement to a full platform redesign, so the required background depends on scope and risk. For production systems, look for a professional who has handled distributed processing, failures, monitoring, data quality, and operational handover in comparable environments.
Big Data projects are often well suited to remote collaboration because architecture, code, documentation, and monitoring can be shared securely. On-site sessions in Austria may still be useful for discovery workshops, access-sensitive systems, or coordination with teams operating legacy infrastructure.
Big Data workloads often use Apache Spark when teams need distributed batch processing, SQL analytics, streaming, or machine learning support in one ecosystem. The choice should follow workload shape, latency needs, data formats, existing skills, and operating costs rather than technology preference alone.
Good Big Data work is reproducible, observable, secure, and understandable to the team that will operate it. Review the design for failure handling, data quality controls, lineage, access management, test coverage, documentation, and clear ownership of ongoing operations.
Apache Hadoop remains relevant in some established platforms and migration projects, especially where HDFS or YARN is already embedded in operations. New solutions may favor cloud object storage, Apache Spark, Kafka, Flink, or lakehouse services, but the right path depends on existing workloads, constraints, and modernization goals.
The average hourly rate of freelancers in Austria who have used Big Data in their recent projects is 108 €, which corresponds to a daily rate of about 863 € based on an 8-hour working day.
Of the freelancers in Austria who have used Big Data in their recent projects, 88% hold at least a Bachelor's degree, 65% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in 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 Austria who have used Big Data in their recent projects are German (100%), English (100%), and French (44%).
The most common industries among freelancers in Austria who have used Big Data in their recent projects are Information Technology (83%), Professional Services (61%), and Banking and Finance (50%).
The most common business areas among freelancers in Austria who have used Big Data in their recent projects are Information Technology (94%), Project Management (94%), and Business Intelligence (78%).
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 Countries:
- Germany
- Austria
- Switzerland
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Philipp Thomaschewski
FRATCH CEO
