
Databricks Experts in Vienna
matched in minutes by AIHire experts who design lakehouse platforms, develop reliable data pipelines and deliver machine learning workflows with Apache Spark, Delta Lake and Unity Catalog. FRATCH connects you with vetted, available freelancers through fast, precise matching.
Meet FRATCH Experts in Vienna, 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 analysis and implementation planning for NISG 2026 and 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 in the examination board
- Expert presentations in business 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
- Connection to bank account systems via SEPA direct debit mandates and message formats according to ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in ongoing operations
- Own applications under own brand: shared code base, separate delivery for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- 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
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 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 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
17 years

Position duration
2.2 years

Positions per freelancer
9

Top business areas
Information Technology, Business Intelligence, Project Management

Top industries
Information Technology, Manufacturing, Education

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
83%
Doctorate
17%

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Vienna 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 Vienna 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 16 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 (67%)
- Manufacturing (67%)
- Education (50%)
- Banking and Finance (50%)
- Media and Entertainment (50%)
- Professional Services (50%)
- Retail (50%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Lakehouse foundation
Databricks is a cloud data platform built around the lakehouse approach. It combines data lake flexibility with warehouse-style governance, SQL analytics and business intelligence in one environment. Teams use it to consolidate structured and unstructured data, support reporting and prepare information for advanced analytics and machine learning.
Data workloads
The platform supports batch and streaming workloads through Apache Spark, Delta Lake and SQL warehouses. Typical deliverables include:
- Data ingestion from business systems, APIs and event streams
- Reliable transformation pipelines with quality checks
- Curated tables for reporting and self-service analytics
- Feature engineering and production machine learning workflows
Ecosystem and tooling
Strong Databricks specialists work across notebooks, jobs, workflows, Delta Live Tables and Unity Catalog. They often connect the platform with cloud storage, Kafka, dbt, Power BI, Tableau and orchestration tools. Python, SQL, Scala and Spark are common parts of the delivery stack, alongside Git-based development and automated testing.
When expertise matters
Companies bring in freelance expertise when a lakehouse initiative must move from a proof of concept to a governed production system. Specialists can also help when pipelines are slow, cloud costs are difficult to control, data ownership is unclear or teams need to migrate from a traditional warehouse. In Vienna, remote collaboration is common, while workshops and stakeholder sessions may benefit from local availability and German or English communication.
Quality signals
A strong professional can explain why a workload belongs in a lakehouse, warehouse or another architecture. They design clear data models, incremental processing and recovery paths instead of relying on notebooks that only work manually. Look for practical knowledge of permissions, lineage, cluster configuration, monitoring, testing and deployment across development and production environments.
Freelance project fit
Freelancers may support a focused migration, establish data governance or join an existing platform team for a defined delivery phase. The right scope should describe source systems, data sensitivities, cloud environment, consumers and operational ownership. Effective specialists leave behind documented pipelines, reusable patterns and handover material that internal teams can maintain.
Frequently asked questions
Everything clients usually want to know about Databricks, in one place.
Companies use Databricks to ingest, transform and analyze data at scale in a shared lakehouse environment. Common projects include streaming pipelines, enterprise reporting, data science, machine learning and governed data sharing.
Compared with a traditional warehouse, Databricks combines open cloud storage and large-scale processing with SQL analytics and governance. A warehouse may remain the better fit for narrowly focused reporting, while Databricks is often considered when one architecture must support diverse data and machine learning workloads.
A capable Databricks specialist usually brings strong SQL and Python skills, Apache Spark knowledge and experience with cloud storage and identity management. Familiarity with Kafka, dbt, orchestration, Git, CI/CD, data modeling and machine learning operations can also be important.
The required depth depends on the work. A contained SQL or pipeline task may suit a professional with focused platform experience, while a migration, governance design or production machine learning platform calls for someone who has owned comparable systems from design through operations.
Yes. Databricks work is well suited to remote collaboration because development, review and monitoring happen in cloud environments. Vienna-based companies should still plan access controls, working hours, documentation and language expectations for workshops with local stakeholders.
Databricks can be a strong choice when teams need close integration between data engineering, streaming, open storage and machine learning. Snowflake or BigQuery may be preferable for organizations centered mainly on managed SQL analytics, so the decision should follow workload, governance and operating-model needs.
Ask the Databricks freelancer to explain trade-offs in storage formats, partitioning, compute, permissions and pipeline design. Review evidence of production monitoring, failure recovery, testing, cost control and clear documentation rather than judging only notebook output.
Working with Databricks often means balancing rapid notebook exploration with repeatable production delivery. Freelancers should clarify the cloud provider, workspace structure, Unity Catalog setup, deployment process, data contracts and ownership before changing pipelines or recommending platform components.
The average hourly rate of freelancers in Vienna, Austria who have used Databricks in their recent projects is 105 €, which corresponds to a daily rate of about 841 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Databricks in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Databricks in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Vienna, Austria who have used Databricks in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Vienna, Austria who have used Databricks in their recent projects are Information Technology (67%), Manufacturing (67%), and Education (50%).
The most common business areas among freelancers in Vienna, Austria who have used Databricks in their recent projects are Information Technology (100%), Business Intelligence (83%), and Project Management (83%).
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:
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