Databricks Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Databricks
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)
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
Hossein Adibpouya
Last position:
Datawarehouse Consultant at LENZING AG
- Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
- Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
- Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.
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.
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
Gasper Zerak
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using Databricks
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2 years
Positions per freelancer
10
Top business areas
Business Intelligence, Information Technology, Human Resources
Top industries
Information Technology, Education, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
67%
Doctorate
17%
Certifications per freelancer
3
Most common languages
German, English, Persian
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 Databricks
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
Lakehouse work
Databricks is used to build lakehouse data platforms that combine engineering, analytics, and machine learning in one place. Teams use it to ingest data, transform it with Spark, and serve trusted datasets for reporting, dashboards, and model training.
Core stack
- Apache Spark jobs in notebooks, workflows, and scheduled pipelines
- Delta Lake tables for reliable storage and incremental processing
- Unity Catalog for access control, governance, and data sharing
- SQL analytics for reports, metrics, and ad hoc analysis
- MLflow for experiment tracking and model lifecycle work
When to hire
Companies bring in freelance specialists when a platform needs redesign, cost control, or rescue after messy pipeline growth. They are also useful for migrations from legacy ETL tools, workspace setup, and making Spark code easier to maintain.
What strong specialists do
Strong Databricks professionals understand data layout, job performance, and governance together. They write clean transformations, manage cluster choices, and keep notebooks, SQL, and production workflows consistent across teams.
Common project work
Typical deliverables include bronze-silver-gold pipelines, streaming ingestion, data quality checks, and reusable job templates. In Austria, this often supports finance, manufacturing, logistics, and other data-heavy teams that need reliable batch and near-real-time processing.
Ecosystem fit
Databricks often sits alongside Azure Data Lake, AWS S3, or other cloud storage, plus Power BI, dbt, and CI/CD tooling. It is commonly discussed as the Databricks Lakehouse Platform, and many teams still refer to the Spark and Delta Lake layers behind it.
Frequently asked questions
Curious about Databricks? Here are the answers that come up again and again.
Databricks is used for data engineering, analytics, and machine learning on the same platform. Companies use it to ingest raw data, transform it with Spark, store it in Delta Lake, and prepare it for reporting or model training.
Databricks is built around Spark, but it adds managed jobs, notebooks, governance, and a more complete operating model. Plain Spark gives you the processing engine, while Databricks adds the workspace and tooling needed to run it at scale with less setup.
Yes, Databricks projects often rely on Delta Lake for reliable tables, schema control, and efficient updates. Many teams use Delta Lake even when they speak about the wider Databricks Lakehouse Platform, because it is the storage layer that makes the platform practical.
A strong Databricks specialist usually knows Apache Spark, SQL, Python, and cloud storage such as Azure Data Lake or S3. Experience with MLflow, dbt, orchestration, and data governance is also useful when the platform supports both analytics and machine learning.
A simple Databricks workspace setup or a small pipeline can work with a focused specialist. A migration, streaming platform, or governed multi-team environment needs someone who has handled Spark tuning, Delta Lake design, and production operations before.
Yes, most Databricks work can be done remotely, especially when the setup is in the cloud. On-site time can still help during discovery, stakeholder workshops, or security reviews, but day-to-day delivery is often remote-friendly for teams in Austria.
Look for someone who can explain pipeline design, table layout, and cost trade-offs in clear terms. A good Databricks professional has shipped reliable jobs, handled failures cleanly, and can show how they improved performance, governance, or data quality.
No, Databricks is also used by teams that need streaming ingestion, feature pipelines, and machine learning support. It is often the shared layer between data engineering and analytics, so the best specialists can work across both sides without creating separate silos.
The average hourly rate of freelancers in Austria who have used Databricks in their recent projects is 102 €, which corresponds to a daily rate of about 813 € based on an 8-hour working day.
Of the freelancers in Austria who have used Databricks in their recent projects, 100% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Austria who have used Databricks 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 Databricks in their recent projects are German (100%), English (100%), and Persian (17%).
The most common industries among freelancers in Austria who have used Databricks in their recent projects are Information Technology (67%), Education (50%), and Banking and Finance (50%).
The most common business areas among freelancers in Austria who have used Databricks in their recent projects are Business Intelligence (100%), Information Technology (100%), and Human Resources (50%).
Main locations of FRATCH Experts, who have recently used Databricks
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
