Data Warehouse Experts in Switzerland
for trusted reporting and analytics, matched in minutes with vetted professionalsHire experts who design scalable warehouse architectures, build reliable ELT pipelines and connect tools such as Snowflake, BigQuery, Amazon Redshift and dbt. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Switzerland, who have recently used Data Warehouse
Marco S.
Last position:
MS Power BI Developer at Bayern Facility Management GmbH
Power BI development and administration, training, consulting, data modeling, DAX development
MS Fabric, MS Power BI, DAX
Claus N.
Last position:
Oracle Database Engineer at BBV.ch
- Migration of databases from ODA to ExaData
- Migration of databases from ExaData to ExaCC/OCI
- Reduced UCC usage by 10%
- Developing automation scripts using Python
- Performance tuning
- Reduced development databases from 6 TB to 3 TB using Exadata columnar compression
- Improved application performance by 30% using the inmemory option
- Improved non-production Exadata performance by 20% to free up CPU resources before ExaCC migration
- Database patching of Oracle 19c
- Basic Ansible scripting for deployments and database cloning
- Developing an accounting model for a shared Oracle platform
- Migrating single-instance databases to Oracle RAC
- Analysis of RAC issues
- Advising development teams on how to migrate to RAC
Max R.
Last position:
Senior ICT Solution Architect at ewb, Energy, Water
- Clarifying and discussing technical requirements and coordinating with the team
- Contributing to the objectives of the Digital Transformation Services unit and implementing them
- Analyzing, specifying, updating and delivering architecture models to implement digital solutions in line with business, data infrastructure and requirements
- Selecting suitable technical options for application design, considering interoperability, reversibility, scalability, usability, accessibility and security, and optimizing the cost/quality ratio
- Creating and maintaining concept documents, architecture models and other technical documentation
- Reviewing services to be provided and other documents for solution development
- Collaborating with the IT enterprise architect, business analyst, project manager, developers, testers and process owner on the design and documentation of technical specifications for new developments and enhancements
- Communicating concepts to relevant stakeholders and supporting them
- Participating in enterprise architecture activities and ensuring compliance with principles, standards and guidelines
- Monitoring compliance with defined designs at application, solution and enterprise levels
- Developing and testing existing and new solutions as required
- Supporting and guiding development teams in implementing new projects or maintaining existing products, taking on the product manager role if required
- Establishing and ensuring best practices in implementation, documentation, testing and packaging for distribution
- Contributing to the handling of reported incidents and requests assigned to third-level support, and following up as required
Charles S.
Last position:
Data Delivery Lead at Westpac
- Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
- Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
- Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
- Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
- Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Markus F.
Last position:
Logistics Expert/Coach at RAPID Technic AG
- Coaching, developing fundamentals and leading technical aspects in logistics transformation
- Extending SAP WM functionalities
- Efficiency measures in shuttle warehouse technology
- Setting up logistics operations reporting
- Comprehensive inventory planning and execution
- Preparing the technical and commercial foundations for cooperation with external logistics service providers
- Recommendations for the future process and organizational structure
Reinhold S.
Last position:
Senior Software Developer at Hitachi Energy
- Support and further development of the Leegoo Builder
- Handling ad hoc requests
- Definition of rules/attributes and their rules
- Optimizing and managing SQL queries
Stefan H.
Last position:
Senior Project Manager at Bechtle Schweiz AG
- Led multiple client projects according to the PRINCE2 standard in the healthcare sector, focusing on migrating existing infrastructures and applications to Bechtle Clouds
- Technologies used: MS Azure, Azure AVD, Exchange Online, SharePoint Online, Intune, Autopilot, Meraki vMX Firewall, and Bechtle Smart Workplace
- Improved and documented project-related processes
Stefan L.
Last position:
Senior Manager, Project Manager, Auditor and Consultant at Laager Consulting GmbH
Many years of experience in application development, ICT infrastructures, systems management, hardware and software, telecommunications, ICT strategies, business models, database management, data center consolidations, support and call center setup
Since 1999 independent consultant and project manager: ICT strategies and governance, processes, audits, security, infrastructure (including cloud, DevOps and tools), data and output management, organizational restructurings, business project management and consulting in various industries
Generalist with analytical skills, strong communicator at all hierarchy levels, deployable as manager, coach, project manager or consultant
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Sibylle H.
Last position:
SAP ABAP-OO Development (cross-module) at Asendia
- Creation of interfaces for transferring SD orders and customer master data (including various protocols and the ability to handle erroneous data)
- Analysis and adjustment of existing programs due to infrastructure change
- SOAP and REST API for creating customer master data from SugarCRM
- REST APIs in JSON (SD orders, invoices, payments, PDF forms)
- Log program for REST APIs
- Creation of various invoice forms in 8 languages including document links, email delivery, PDF generation
- Provision of data for the data warehouse
- Various user exits and enhancements in SD and FI
- Intercompany sales order creation, program for creating credit memos (uploads from Excel and from the server)
- Reports (VAT, sales orders, invoices)
- Correction program for CO data
- Support for various interfaces, notes, etc.
- Enhancement for IDoc INVOIC02
- Upload program for XML files (Rydoo) to post cash receipts into FI (FB01)
- Creation of dunning forms in various languages (Smartforms and Adobe including email delivery)
- Account statement program (ALV displaying postings, sending to debtors via email using Smartform as PDF)
Rainer S.
Last position:
Microsoft DAT207x Certificate at edX
- Earned the Microsoft DAT207x certificate on edX.
- Completion date: 21.01.2020.
Deschances T.
Last position:
Senior Data Architect at Odd Parrot
- Supporting UBS Wealth Management as Senior Data Architect within a multi-year enterprise data mesh transformation.
- Guiding a strategic stream to design and implement a data product aligned with UBS’s enterprise-wide data mesh framework.
- Leading architecture definition, governance alignment, and cross-domain integration to ensure scalable, compliant, and reusable data products across global stakeholders.
- UBS – Global Wealth Management Data Product Architecture: Designed an enterprise-aligned data product spanning 26 countries, defining data contracts, metadata standards, and federated architecture patterns enabling cross-domain reuse across the bank.
- Defined cross-jurisdictional data policies and access controls to ensure compliance with regulatory requirements across multiple regions (EU, APAC, LATAM, CH).
Kalin S.
Last position:
Sr Data Engineer / Architect at Samsung Logistics
- Architected and implemented a structured three-layer enterprise data warehouse model in Azure, establishing a robust and scalable data environment.
- Migrated legacy stored procedures to streamlined Azure Data Factory (ADF) pipelines, enhancing data processing efficiency.
- Introduced comprehensive Git-based source control, ensuring rigorous version management and collaborative development practices.
- Established automated data quality frameworks with proactive monitoring and alerting, significantly improving data integrity and reliability.
- Spearheaded the design of an enterprise data model, enabling a self-service BI environment that empowered business teams with advanced analytics capabilities.
- Developed and delivered insightful dashboards and reports in Power BI, transforming raw data into actionable business insights.
- Technologies: Azure Data Factory (ADF), Azure, MS-SQL, DataVault 2.0, Git, Power BI, data quality automation, Agile/Scrum, data modeling, self-service BI, stakeholder management.
Ala L.
Last position:
VR/AR/ML Project Site Lead (contract by Experis) at Meta
- Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
- Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
- Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
- Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective
Stefano B.
Last position:
CEO & Founder at wyse Business Solutions GmbH
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
28 years
Position duration
3.2 years
Positions per freelancer
15
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
67%
Certifications per freelancer
4
Most common languages
English, German, 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 Switzerland 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 Switzerland using Data Warehouse
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.
Data Warehouse 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 (83%)
- Banking and Finance (74%)
- Professional Services (61%)
- Manufacturing (48%)
- Healthcare (43%)
- Insurance (39%)
- Telecommunication (39%)
- Energy (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Analytical foundation
A Data Warehouse centralizes structured business data from operational systems, applications and external sources. It prepares consistent information for reporting, dashboards, financial analysis and decision-making. Unlike a transactional database, it is optimized for reading, aggregation and historical comparison.
Modern warehouse stack
Experts work across cloud and on-premises environments, choosing components that fit data volume, governance needs and operating models. Common tools include Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse Analytics, Databricks and dbt. Strong SQL, dimensional modeling, orchestration and cloud security skills connect these components into a dependable system.
Typical delivery work
- Design star schemas, data marts and governed semantic layers
- Build ELT pipelines from ERP, CRM, SaaS and event sources
- Configure orchestration, testing, lineage and monitoring
- Connect warehouses to Power BI, Tableau, Looker or other BI tools
- Improve query performance, cost control and data freshness
The right architecture makes trusted data available without forcing every team to interpret raw source systems independently.
When companies need specialists
Companies bring in freelance expertise during a warehouse migration, a cloud transformation or a reporting overhaul. Specialists also help when pipelines fail regularly, definitions differ between departments or analysts cannot access complete historical data. In Switzerland, remote collaboration is common, while some regulated or complex environments benefit from on-site workshops and local language capability.
Quality signals
Strong professionals clarify business definitions before choosing schemas or tools. They document source-to-report lineage, separate transformation logic from presentation logic and build automated checks for freshness, completeness and validity. They also understand access controls, retention, privacy and the operational cost of each design decision.
Sustainable ownership
A successful warehouse is maintainable after delivery. Experts create clear models, reusable transformations, deployment processes and practical documentation for internal teams. They leave behind monitoring and incident procedures, explain trade-offs in plain language and ensure that new sources can be added without undermining trust in existing reports.
Frequently asked questions
Questions about Data Warehouse? Start with the answers below.
A Data Warehouse combines information from systems such as finance, sales, customer support and operations. Companies use it for trusted reporting, business intelligence, trend analysis, forecasting and consistent metrics across departments.
A Data Warehouse stores curated, structured data that is ready for analysis, while a data lake can hold raw structured, semi-structured and unstructured data. Many modern architectures use both, with the warehouse serving governed reporting and the lake supporting exploration or data science.
A strong Data Warehouse specialist usually brings advanced SQL, dimensional modeling, ELT, orchestration and data quality practices. Useful adjacent skills include dbt, Python, cloud infrastructure, BI tools, metadata management, identity controls and CI/CD for data pipelines.
The right level depends on the scope, source complexity and compliance requirements. A focused reporting layer may need a specialist who can model data and build pipelines, while a migration or enterprise redesign calls for someone experienced in architecture, governance, performance and stakeholder alignment.
Much Data Warehouse work can be completed remotely because source access, modeling and deployment happen through shared technical environments. On-site sessions can still help with discovery, security reviews and workshops, especially when teams in Switzerland need close coordination or specific language support.
A Data Warehouse platform should be selected according to workload patterns, existing cloud services, security requirements, skills and cost controls. Snowflake, BigQuery, Amazon Redshift, Microsoft Fabric and other options can all work well when the surrounding architecture and operating model are sound.
Ask how the specialist defines business metrics, handles changing source data and tests transformations before release. A capable Data Warehouse professional can show clear lineage, explain trade-offs, plan for monitoring and make the model understandable to both technical and business users.
A Data Warehouse freelancer should clarify source systems, data owners, target users, refresh expectations, security boundaries and the definition of success. It is also important to understand the existing orchestration, deployment process, documentation standard and who will maintain the solution after delivery.
The average hourly rate of freelancers in Switzerland who have used Data Warehouse in their recent projects is 119 €, which corresponds to a daily rate of about 955 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Data Warehouse in their recent projects, 83% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Data Warehouse in their recent projects have 28 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers in Switzerland who have used Data Warehouse in their recent projects are English (100%), German (91%), and French (48%).
The most common industries among freelancers in Switzerland who have used Data Warehouse in their recent projects are Information Technology (83%), Banking and Finance (74%), and Professional Services (61%).
The most common business areas among freelancers in Switzerland who have used Data Warehouse in their recent projects are Information Technology (100%), Project Management (87%), and Business Intelligence (83%).
Main locations of FRATCH Experts, who have recently used Data Warehouse
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
