Data Lake Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Data Lake
Zeev Turchinsky
Last position:
Enterprise Architect at Coveris Group
- Built Enterprise Architecture practice covering business, application, data, and integration layers
- Created a multi-year Integration Strategy, delivering annual cost savings of several hundred thousand euros
- Defined portfolio simplification roadmap, identifying redundant systems and cost reduction opportunities
- Designed target-state enterprise architecture around D365 FSCM, enabling a best-of-breed future landscape
- Developed Master Data Management (MDM) strategy and roadmap to improve data quality and operational efficiency
- Provided enterprise-wide architectural direction ensuring alignment and eliminating redundant initiatives
- Established reusable architecture patterns adopted by delivery teams
- Facilitated cross-functional architecture forums to align product and delivery teams
- Translated enterprise architecture guidance into practical delivery decisions
- Drove practical adoption of architecture guidance across initiatives rather than acting as a gatekeeper
- Identified redundant systems enabling substantial cost reduction potential
- Enabled cost transparency in integration landscape
- Enabled fact-based investment prioritization decisions
Benjamin Auer
Last position:
Multi-Project Manager at Trading Company
- Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
- Backend modernization project (Budget ~€5M 2025 – 2026)
- Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)
Gerald Gastgeb
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
Rene Schakmann
Last position:
Head of Digital Services & IT at reet systems gmbh / THEOPHIL Holding GmbH
- Overall responsibility for IT, software development, and digital services of the company for brands such as Rosenberger, Rosehill, Burger King Austria (approx. 70 companies)
- Built the holding's lakehouse and data analytics platform
- Established and led the software development and IT department
- Established and led the operation (cloud-native AWS) of the B2B platform
- Connected IoT systems and developed models for predictive maintenance and production planning, data lake/lakehouse, and BI
- Preparation for ISO 27001 information security certification
- Technologies: Cloud, AWS, Java, Cypress, Angular, Python, Go
Peter Klosa
Last position:
Sabbatical
Gasper Zerak
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using Data Lake
Aggregated from the professional profiles of matched freelancers.
Experience
26 years
Position duration
2.3 years
Positions per freelancer
15
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
80%
Master's degree or higher
80%
Certifications per freelancer
4
Most common languages
German, English, Russian
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 Vienna 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 Vienna using Data Lake
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
Core purpose
A data lake stores raw and curated data in one place for analytics, reporting, machine learning, and exploratory work. It is used when teams need to keep structured and unstructured data together without forcing a strict warehouse model first. Strong experts plan how data enters the lake, how it is organized, and who can use it.
Common stacks
Data lake work often sits around cloud storage, query engines, catalog tools, and orchestration. Common choices include S3, Azure Data Lake Storage, Google Cloud Storage, Spark, Trino, Databricks, Hive, and AWS Lake Formation.
- Ingest batch and streaming data
- Define folders, zones, and table formats
- Add catalog, lineage, and access control
- Tune queries for analytics and BI
Where it fits
Companies bring in data lake specialists when data arrives from many systems and teams no longer trust ad hoc files or shared drives. It is also a fit when a warehouse is too rigid for logs, events, media, or machine learning features. In Vienna, this often matters for finance, mobility, SaaS, and research-heavy teams.
What strong experts do
Good professionals think beyond storage. They design naming rules, partitioning, retention, and quality checks so the lake stays usable after the first load. They also know when a lakehouse pattern is better than a plain data lake, especially if SQL access and governed tables are important.
Signs you need help
- Data is duplicated across tools and teams
- Analysts cannot find trusted source data
- Pipelines break when formats change
- Permissions and audit needs are unclear
- Costs rise because storage is unmanaged
Delivery focus
Freelance experts usually support platform setup, migration from Hadoop data lake environments, and cleanup of existing lakes. They may also help with metadata, access policies, incremental loads, and documentation. Remote work fits most tasks well, while on-site sessions in Vienna help when aligning data owners, security, and analytics teams.
Frequently asked questions
Everything clients usually want to know about Data Lake, in one place.
A data lake is used to store raw and transformed data for analytics, reporting, machine learning, and data exploration. It works well when a company needs to keep many data types together, including files, events, logs, and transactional extracts. The key is to pair storage with clear organization and governance.
A data lake keeps data in a more flexible form, while a warehouse is usually modeled for fixed reporting use cases. Lakes are better when the structure may change, or when teams want to keep raw data for later processing. Warehouses are often better for curated business reporting with strict definitions.
A data lake is a good base, but a lakehouse can be better when teams want SQL-friendly tables, stronger governance, and fewer copies of the same data. Many projects move toward lakehouse patterns when analytics and machine learning need the same governed data layer. That choice often depends on the current stack and the reporting workflow.
A strong data lake specialist usually understands storage design, ETL and ELT, orchestration, access control, metadata, and data quality. Skills in Spark, SQL, Python, and cloud services are common, along with experience in catalog and table formats. Clear documentation matters just as much as technical setup.
Not always, but Data Lake work still needs someone who can make early design choices correctly. Even a small setup can become messy if naming, partitioning, and access rules are skipped. For simple ingestion tasks, a practical specialist may be enough; for platform design, a senior profile helps.
Yes. Most data lake tasks can be done remotely because the work centers on cloud services, pipelines, and data modeling. On-site time in Vienna is most useful for stakeholder workshops, security reviews, and aligning local teams on governance and ownership.
Look for a Data Lake specialist who can explain the architecture in plain language and show how data stays trustworthy over time. Good signs are clear thinking about lineage, access control, schema evolution, and failure handling. You want someone who can build a lake that still works after the first project phase.
A data lake freelancer should deliver more than pipelines. Expect a working ingestion flow, a documented structure, quality checks, access rules, and a clear handover for the teams that will use it. For larger work, migration notes and operating guidance are also important.
The average hourly rate of freelancers in Vienna, Austria who have used Data Lake in their recent projects is 118 €, which corresponds to a daily rate of about 942 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Lake in their recent projects, 80% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used Data Lake in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Vienna, Austria who have used Data Lake in their recent projects are German (100%), English (100%), and Russian (33%).
The most common industries among freelancers in Vienna, Austria who have used Data Lake in their recent projects are Information Technology (83%), Banking and Finance (67%), and Insurance (50%).
The most common business areas among freelancers in Vienna, Austria who have used Data Lake in their recent projects are Information Technology (100%), Project Management (83%), and Business Intelligence (67%).
Main locations of FRATCH Experts, who have recently used Data Lake
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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FRATCH CEO
