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Databricks Experts in Vienna

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Hire 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

Verified expert

Matthias K.

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Freelance Technical Product Owner | Senior Requirements Engineer | Business Analyst

Vienna
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

Verified expert

Stefan D.

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BI Consultant in Controlling

Wien
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)
Verified expert

Fabio G.

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IT Architect, Requirements Analyst and Consultant

Vienna
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
Verified expert

Kevin L.

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Data Engineering & DWH Data Engineering Environment

Wien
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.

Discover over 15,000 top freelancers

Statistics of experts using Databricks

Aggregated from the professional profiles of matched freelancers.

Experience

17 years

Databricks experts in Vienna have 17 years of professional experience on average.

Position duration

2.2 years

Databricks experts in Vienna stay in a single position for 2.2 years on average.

Positions per freelancer

9

Databricks experts in Vienna have completed 9 positions on average over the course of their careers.

Top business areas

Information Technology, Business Intelligence, Project Management

Databricks experts in Vienna have gathered most of their hands-on project experience in Information Technology, Business Intelligence, and Project Management.

Top industries

Information Technology, Manufacturing, Education

Databricks experts in Vienna are most in demand in Information Technology, Manufacturing, and Education.

Certification focus areas

Information Technology, Project Management, Business Intelligence

Databricks experts in Vienna earn their certifications most often in Information Technology, Project Management, and Business Intelligence.

Bachelor's degree or higher

100%

100% of Databricks experts in Vienna hold at least a Bachelor's degree.

Master's degree or higher

83%

83% of Databricks experts in Vienna hold at least a Master's degree.

Doctorate

17%

17% of Databricks experts in Vienna have a doctorate (PhD).

Certifications per freelancer

3

Databricks experts in Vienna hold 3 professional certifications on average.

Most common languages

German, English, French

Databricks experts in Vienna most often speak German, English, and French.

Speak two or more languages

100%

100% of Databricks experts in Vienna speak two or more languages.

Based on our profile pool as of 16 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
17% of Databricks experts in Vienna charge less than €720 per day.
17% of Databricks experts in Vienna charge between €720 and €800 per day.
33% of Databricks experts in Vienna charge between €800 and €880 per day.
33% of Databricks experts in Vienna charge €960 or more per day.
<€720 €720-​800 €800-​880 €960+

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.

1000
750
500
250
Rate comparison chart
Daily rate avg. 841 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 820 €

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.

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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:

Vienna Graz

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