Databricks Expert in Austria
with precise AI matching and vetted, available freelancersHire experts who build reliable lakehouse platforms, develop Apache Spark data pipelines and operationalize machine learning with Databricks. FRATCH connects you quickly with vetted, available freelancers whose skills match your project and delivery needs.
Meet FRATCH Experts in Austria, who have recently used Databricks
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
Matthias K.
Last position:
Requirements Engineer & Business Analyst at Media Company
Analysis of existing work, information and decision-making processes.
Identification and prioritization of suitable use cases for AI agents.
Elicitation of functional and non-functional requirements.
Design of collaboration between users and AI agents, including control and escalation mechanisms.
Support for the implementation of the AI agents and adapted keyboard hardware.
Business target vision for the AI-first transformation.
Structured and prioritized requirements for implementation.
Defined roles, interactions and control points between people and AI agents.
Preparation for the gradual automation of productive work processes.
Techstack: AI agents, LLMs, agent orchestration, RAG, APIs, automation, hardware
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)
Jonatan S.
Last position:
Lead Architect and Trusted Advisor at Jonatan Skopek - Data and AI Consulting
Replacement of HR BW system
Industry: Automotive
Technology: SAP Datasphere, SAC, Cloud Integration, CAP Application, Databricks
- Development of the target architecture to transform the existing BWonHANA HR BW to SAP Datasphere
- Development of an authorization concept
- Execution of architecture governance in the implementation project
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
Hossein A.
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 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.
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
Gasper Z.
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
16 years
Position duration
1.9 years
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Education, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
60%
Doctorate
20%
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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Databricks 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 (70%)
- Education (50%)
- Banking and Finance (50%)
- Manufacturing (50%)
- Media and Entertainment (50%)
- Retail (50%)
- Professional Services (40%)
- Energy (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Lakehouse foundation
Databricks is a cloud data and AI platform built around the lakehouse architecture. It combines scalable data storage with analytics, data engineering, business intelligence and machine learning workflows. Teams use it to create a governed source of truth across structured and unstructured data.
Core workloads
Databricks supports batch and streaming pipelines, SQL analytics, predictive models and generative AI applications. Common delivery areas include:
- Lakehouse design and workspace setup
- Apache Spark transformation pipelines
- Delta Lake tables and data quality controls
- Machine learning experiments and model serving
- Dashboards, reporting and self-service analytics
Ecosystem and tooling
Strong Databricks work involves Apache Spark, Python, SQL and often Scala. Delta Lake provides transactions and reliable table management, while Unity Catalog supports permissions, discovery and lineage. Professionals may also work with MLflow, dbt, Terraform, cloud storage and orchestration services.
When specialists help
Companies bring in freelance expertise when a data platform needs a clear architecture, faster delivery or safer operations. This is common during cloud migrations, warehouse modernisation, streaming projects and the rollout of machine learning. In Austria, collaboration may combine remote delivery with on-site workshops and German or English communication.
Delivery and governance
A capable professional turns business requirements into maintainable notebooks, jobs, data models and deployment processes. They define cluster and workload policies, manage cost controls, test transformations and document dependencies. They also set up access rules, monitoring and recovery practices so teams can use data confidently.
Signs of quality
Look for evidence of production ownership rather than notebook-only work. Relevant signals include:
- Clear Delta Lake modelling and migration decisions
- Reliable Spark performance tuning and pipeline testing
- Practical Unity Catalog governance and access design
- Reproducible MLflow or model deployment workflows
- Cloud-specific experience with Azure, AWS or Google Cloud
The best specialists explain trade-offs in plain language, connect technical choices to business outcomes and leave behind systems that internal teams can operate.
Frequently asked questions
Curious about Databricks? Here are the answers that come up again and again.
Companies use Databricks to ingest, transform and analyse large data sets in one lakehouse environment. It also supports real-time processing, machine learning, model serving and data products that combine engineering, analytics and AI.
Databricks combines open data lake storage with warehouse-style SQL and broader engineering capabilities. A traditional warehouse can be simpler for structured reporting, while Databricks is often considered when teams need scalable processing, streaming, machine learning or flexible data formats.
A strong Databricks specialist usually works confidently with Apache Spark, Python, SQL and cloud storage. Experience with Delta Lake, Unity Catalog, MLflow, Terraform, orchestration tools and data modelling is also valuable.
The required depth depends on the scope. A simple pipeline may need solid Spark and SQL skills, while a governed lakehouse or machine learning platform calls for production architecture, security, monitoring and deployment experience with Databricks.
Yes. Databricks work is well suited to remote collaboration because development, job management and documentation happen in cloud workspaces. On-site sessions can still help with architecture workshops, stakeholder alignment and knowledge transfer, with German or English agreed in advance.
A Databricks freelancer may deliver lakehouse architecture, Delta tables, tested Spark jobs, orchestration, access policies and operational documentation. For machine learning work, deliverables can include experiment tracking, feature workflows, model deployment and monitoring.
Databricks may be excessive for a small reporting workload with limited transformation needs and no plans to expand. A simpler warehouse or managed analytics service can be easier to operate when advanced Spark, streaming or machine learning capabilities are not required.
Ask the Databricks professional to explain a production design, including data modelling, workload isolation, security, testing and failure recovery. Strong specialists discuss trade-offs clearly and can show how they improved reliability, maintainability and usability without relying only on notebooks.
The average hourly rate of freelancers in Austria who have used Databricks in their recent projects is 109 €, which corresponds to a daily rate of about 875 € 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, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Austria who have used Databricks in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Austria who have used Databricks in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Austria who have used Databricks in their recent projects are Information Technology (70%), 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 Information Technology (100%), Business Intelligence (90%), and Product Development (60%).
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.
Vienna Graz 
Vienna Request a free demo
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Philipp Thomaschewski
FRATCH CEO
