Azure Data Factory Experts in Austria
, matched in minutes by AI from over 15,000 CVsHire experts who design ADF pipelines, connect cloud and on-premises data sources, and orchestrate warehouse and lakehouse workloads. FRATCH matches you quickly and precisely with vetted, available freelancers for your Azure Data Factory project.
Meet FRATCH Experts in Austria, who have recently used Azure Data Factory
Karl F.
Last position:
Managing Director at ONECEPT GmbH
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)
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
Kevin L.
Last position:
Data Consultant at VBV Pensions- und Vorsorgekasse Österreich
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support in standardizing 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.
Armin F.
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
Gasper Z.
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
14 years
Position duration
2 years
Positions per freelancer
11
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
20%
Certifications per freelancer
4
Most common languages
German, English, Italian
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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Azure Data Factory 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%)
- Banking and Finance (67%)
- Education (50%)
- Manufacturing (50%)
- Professional Services (50%)
- Energy (33%)
- Retail (33%)
- Advertising (17%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Azure Data Factory does
Azure Data Factory, often called ADF, is Microsoft Azure’s managed service for data integration and workflow orchestration. It moves and transforms data between databases, SaaS applications, files, data lakes and analytical stores. Companies use it to create repeatable pipelines for reporting, analytics, migration and machine learning workloads.
Pipelines and integration
ADF solutions combine linked services, datasets, pipelines, activities and triggers. Specialists configure copy activities, mapping data flows, parameters, variables and integration runtimes to control how data is extracted, transformed and loaded.
- Connect SQL, Oracle, SAP, APIs, files and cloud storage
- Schedule, monitor and retry pipeline runs
- Separate development, test and production environments
- Manage secure access with Azure Key Vault and managed identities
Azure ecosystem
Strong ADF professionals work across the wider Azure data stack. They commonly integrate Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, Azure SQL Database and Power BI. They also understand REST APIs, JSON, SQL, Spark concepts and deployment through Azure DevOps or GitHub.
The right integration runtime matters when workloads use private networks or on-premises systems. Good designs also account for schema drift, incremental loading, metadata-driven processing and operational logging.
When expertise helps
Companies bring in freelance specialists when a data landscape is fragmented, a migration needs reliable orchestration or existing pipelines have become difficult to maintain. External expertise is also useful when internal teams need to establish standards without pausing daily reporting.
- Replace manual imports with governed pipelines
- Migrate data warehouses or applications to Azure
- Build ingestion for analytics and lakehouse projects
- Improve failed-run handling, lineage and monitoring
Delivery in Austria
Teams in Austria use Azure Data Factory for industrial data, financial reporting, retail operations, public services and cross-border business systems. A freelance specialist can work remotely, on site or in a mixed setup, depending on security requirements and access to local systems. Clear communication in English or German may be important for workshops, documentation and handover.
What strong specialists deliver
Experienced professionals begin with source and target profiling, security constraints and clear data ownership. They design modular pipelines, use naming and parameterisation consistently, and make operational behaviour visible to the team that will run the solution.
Quality shows in tested transformations, controlled access, useful alerts and documentation that explains dependencies and recovery steps. Strong specialists also challenge unnecessary complexity and choose between ADF, Synapse pipelines, Databricks or native application tooling based on the workload rather than habit.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Azure Data Factory.
Azure Data Factory is used to ingest, move and transform data across cloud services, databases, files, APIs and on-premises systems. Companies use ADF to orchestrate recurring workflows for analytics, reporting, migration and machine learning.
Azure Data Factory and Synapse pipelines use closely related orchestration concepts, but they serve different product contexts. ADF is a standalone data integration service, while Synapse pipelines sit within an analytics workspace and work closely with its SQL and Spark capabilities.
ADF is well suited to connecting systems, scheduling movement and coordinating straightforward transformations. Azure Databricks is usually a better fit for complex Spark-based processing, large-scale data science or advanced engineering workflows; many projects use both.
A strong Azure Data Factory specialist usually understands SQL, Azure Data Lake Storage, Azure Synapse Analytics, APIs and identity management. Experience with Azure DevOps, Git, Key Vault, monitoring and infrastructure deployment is also valuable.
ADF project needs depend more on source complexity, security and operational requirements than on pipeline volume. A simple ingestion workflow may need focused support, while a hybrid migration or governed data platform calls for broader architecture, testing and handover skills.
Azure Data Factory work is often suitable for remote collaboration because design, configuration and monitoring happen in Azure. On-site sessions may still be useful when specialists need access to private networks, legacy systems or stakeholders in Austria.
Ask how the ADF professional handles incremental loads, retries, schema changes, secrets, deployment and monitoring. Request examples of clear pipeline design and documentation, then explore how they would diagnose a failed run or protect sensitive data.
Azure Data Factory work involves more than connecting endpoints. Freelancers should clarify access models, integration runtimes, environments, data ownership, release processes and support expectations before designing pipelines.
The average hourly rate of freelancers in Austria who have used Azure Data Factory in their recent projects is 108 €, which corresponds to a daily rate of about 861 € 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 20% hold a doctorate.
On average, freelancers in Austria who have used Azure Data Factory in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2 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%), Banking and Finance (67%), and Education (50%).
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:
- Germany
- Austria
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