Azure Data Factory Experts in Austria
in minutes from over 15,000 CVs with the power of AI.Hire experts who design Azure Data Factory pipelines, build ETL and ELT flows, connect Azure and non-Azure sources, and keep data movement reliable across cloud systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used Azure Data Factory
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)
Christoph Quereser
Last position:
Managing Director at Stage-IT
optimizing business processes
IT consulting
- ERP
- intralogistics process
- production planning process
- Sales (wholesale, online, B2B B2C)
- product information management
- business intelligence
implementation
- interfaces (SAP, EDI, Databases, ERP, ...)
- ETL processes
- BI Reports
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
Armin Fanzott
Last position:
Head of AI & Data Science at Ascent DACH
- Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
- Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
- Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
- Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
- Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
- Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
- Regular speaker at AI and data science conferences and academic institutions
Kevin Lang
Last position:
Data Consultant at VBV Pension and Provident Fund Austria
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support for the standardization of process documentation to improve transparency, consistency, and traceability across all operational workflows. Contribution to defining documentation standards, templates, and governance principles for internal process management and audit readiness.
Gasper Zerak
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using Azure Data Factory
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
2.7 years
Positions per freelancer
9
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Manufacturing, Professional Services
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
17%
Certifications per freelancer
2
Most common languages
German, English, Italian
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 Azure Data Factory
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 pipelines
Azure Data Factory is used to move and shape data between systems. It fits ETL and ELT work, batch loads, orchestration, and scheduled data flows across cloud and on-premise sources. Teams use it to keep analytics data fresh and repeatable.
What specialists build
- Data ingestion from databases, SaaS tools, files, and APIs
- Copy activities, mappings, and transformations
- Orchestration for dependent jobs and triggers
- Monitoring, retries, and operational alerts
Good specialists keep pipelines clear, stable, and easy to support. They know when to push logic into data flows, when to use stored procedures, and when to keep transformation outside Azure Data Factory.
Ecosystem and tools
Azure Data Factory often works with Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Blob Storage, and Key Vault. Specialists also handle linked services, integration runtimes, parameterized pipelines, and Git-based source control. Strong delivery depends on clean access, secure secrets, and sensible environment promotion.
When companies bring in freelancers
Teams usually look for freelance expertise when a migration is under way, a new warehouse needs reliable ingestion, or existing pipelines are hard to maintain. It also helps when internal specialists are busy and delivery cannot wait. In Austria, this often comes up in enterprise IT, finance, manufacturing, and data-driven services that want remote support with clear communication.
What strong professionals do
Strong Azure Data Factory professionals design for maintainability, not just for the first run. They think about schema changes, late-arriving data, naming rules, and failure handling. They also document dependencies so another specialist can take over without guesswork.
Signs you need help
- Pipelines fail without clear error handling
- Source systems change often
- Data loads are slow or duplicated
- Releases are hard to test
- Monitoring is weak or missing
If these problems sound familiar, the issue is usually not one activity. It is the overall design around Azure Data Factory, from source connections to operational support. A good specialist fixes both the pipeline and the process around it.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Azure Data Factory.
Azure Data Factory is used to move, prepare, and orchestrate data across systems. Companies use it for ETL and ELT pipelines, scheduled imports, and reliable data delivery into analytics stores, warehouses, and reporting layers.
Azure Data Factory is mainly for orchestration, data movement, and repeatable pipeline control. Synapse pipelines cover similar ground inside the Synapse stack, while Databricks is stronger for large-scale transformation and notebook-led processing. Many teams use them together rather than choosing only one.
A strong Azure Data Factory specialist often knows Azure SQL, Blob Storage, Key Vault, Synapse, Databricks, and source control with Git. SQL is especially important, along with basic data modeling, access management, and release discipline.
A good Azure Data Factory expert can start with a fairly small handover if the sources, targets, and schedules are clear. For messy legacy pipelines or migration work, they need access to current jobs, failure logs, naming rules, and the business meaning of the data.
Yes, Azure Data Factory work is often well suited to remote delivery because most tasks happen in Azure and in source-control systems. For Austrian teams, remote collaboration usually works best when source owners, data consumers, and the specialist share clear documentation and testing windows.
A strong Azure Data Factory solution is easy to read, easy to retry, and easy to change. Look for parameterized pipelines, clear naming, proper secrets handling, sensible logging, and a design that does not hard-code business logic everywhere.
Companies usually bring in a Azure Data Factory freelancer when pipelines are unstable, a migration is blocked, or internal specialists do not have time. It also helps when data sources multiply and the team needs a clean design before the setup becomes hard to manage.
No, Azure Data Factory is not limited to Azure-only sources. It can connect to databases, files, APIs, and many third-party systems, then move that data into Azure or other supported targets. That flexibility is one reason it is used in mixed environments.
The average hourly rate of freelancers in Austria who have used Azure Data Factory in their recent projects is 110 €, which corresponds to a daily rate of about 880 € based on an 8-hour working day.
Of the freelancers in Austria who have used Azure Data Factory in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Austria who have used Azure Data Factory in their recent projects have 15 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 Azure Data Factory in their recent projects are German (100%), English (100%), and Italian (33%).
The most common industries among freelancers in Austria who have used Azure Data Factory in their recent projects are Information Technology (83%), Manufacturing (67%), and Professional Services (67%).
The most common business areas among freelancers in Austria who have used Azure Data Factory in their recent projects are Business Intelligence (100%), Information Technology (100%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used Azure Data Factory
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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Philipp Thomaschewski
FRATCH CEO
