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SAP Datasphere Experts in Germany

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Hire experts who design SAP Datasphere models, connect SAP and non-SAP data sources, and build governed analytics layers for Finance, Supply Chain, and Sales. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Germany, who have recently used SAP Datasphere

Verified expert

Syed Muhammad Aun Raza Zaidi

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Data Analytics Engineer

Augsburg
Syed Muhammad Aun Raza Zaidi

Last position:

Master Thesis - Semantic Layer at Linde GmbH, Linde Engineering - Commercial Department

  • Thesis Title: Designing a Semantic Layer for Enterprise Analytics and AI Integration.
  • Designed a semantic layer architecture for enterprise analytics that improved dataset discovery, relationship mapping, and governed access to reporting data.
  • Built schema discovery and SQL generation workflows across 400+ data products, translating complex data structures into consumable analytics assets.
  • Implemented role-based access control, Row-Level Security, and query validation to ensure data quality, governed access, and reliable use of enterprise reporting datasets.
Verified expert

Johannes Wagner

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Senior Data Engineer

Köln
Johannes Wagner

Last position:

Senior Data Engineer at Soorce GmbH

  • Analysis of business requirements
  • Integration of different data sources such as ERP systems, production systems, and external data sources
  • Implementation of load processes and processing logic with MSSQL
  • Data modeling and optimization of data models
  • Setting up data quality management incl. data profiling with dynamic programming
  • Support in designing and establishing data governance, especially in the areas of data quality management and data protection
  • Support in developing BI solutions with Tableau to help decision-making processes
Verified expert

Björn Stark

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Interim IT Director

Berlin
Björn Stark

Last position:

External IT Director SAP / IT Transformation Manager at Finanzministerium Berlin

IT infrastructure / SAP Grantor / SAP BTP transformation project at the Berlin Ministry of Finance to digitalize public funding programs. The goal was a clean-core-oriented SAP BTP solution architecture with CAP/RAP services, APIs, integrations, and operational readiness for run, AMO, and AMS structures.

  • Industry: Federal authority, FM Berlin
  • Budget 2026: 5 million EUR
  • Planned budget for 2027: 8.7 million EUR
  • Team size: 45 FTE
Verified expert

Felix Reimann

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SAP Analytics & Planning Expert

Veitshöchheim
Felix Reimann

Last position:

SAP Analytics & Planning Expert at RWS GmbH

  • Greenfield implementation of S/4HANA Embedded Analytics as well as reporting and planning processes with SAP Analytics Cloud (SAC).
  • Integrated production, sales, and inventory planning, as well as financial planning and management reporting.
  • Inventory forecasts implemented through SAC Machine Learning.
  • Integration of S/4HANA data and HR data (Factorial) into SAP Datasphere (various tables with real-time replication, related data flows, and analytical models)
Verified expert

Gunnar Wulf

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IT-Consultant

Hamburg
Gunnar Wulf

Last position:

IT-Consultant at Independent Freelancer

  • Enterprise and IT strategy
  • Digital transformation
  • Process and portfolio management
  • Interim IT management
Verified expert

Benjamin Schaich

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Design and implementation of a new cloud service

Esslingen am Neckar
Benjamin Schaich

Last position:

Design and implementation of a new cloud service at Porsche AG

  • Design of a new cloud service
  • Requirements Engineering
  • API Design (REST API, Kafka)
  • Consulting on architecture, feasibility and effort estimation
  • Implementation of a microservice architecture
  • Implementation of a Spring Boot web service
  • Development of REST APIs including business and persistence logic
  • Kafka consumers and producers
  • Various Excel upload/download scenarios
  • Change Data Capture
  • Cloud provisioning with IaC/Terraform
  • Go-live with 30,000 users
  • Operation, support and bug fixing for other services

Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers

Verified expert

Sai Revuri Venkata

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SAP Solution Architect & Developer (Datasphere)

Berlin
Sai Revuri Venkata

Last position:

SAP Solution Architect & Developer (Datasphere) at PwC US

  • Spearheaded the development of BW Bridge and Datasphere models, integrating S/4HANA, BW/4HANA, and BDC to enable real-time analytics in SAP Analytics Cloud (SAC).
  • Designed and implemented Calculation Views using SAP HANA Modeler, aligning with LEONI's requirement for expertise in BW/4HANA modeling and Eclipse.
  • Authored comprehensive technical documentation and RICEFW objects, ensuring clarity and alignment with business requirements.
  • Conducted training sessions for internal teams on Datasphere and BW Bridge, fostering knowledge transfer and self-sufficiency.
Verified expert

Robin Steinkühler

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Consultant, Data Science & Engineering

Berlin
Robin Steinkühler

Last position:

Consultant, Data Science & Engineering at valantic Digital Finance GmbH

  • Bridged business and engineering for enterprise finance clients, designing data products and cloud pipelines in Python, SQL Server, SAP Datasphere, and Tagetik
  • Conceived, built, and containerised a Python/FastAPI universal connector that syncs SAP S/4HANA and other SQL/NoSQL sources to Tagetik, deployed on Google Cloud Run and Microsoft Azure, cutting a critical 90-minute data load to approximately 80 seconds (65× faster)
  • Architected a medallion-layer SQL Server warehouse ingesting approximately 500 GB/day from 11 ERP instances, automating daily refreshes (full load under 6 minutes) and freeing 20–30 finance staff from days of manual data consolidation
  • Led cross-functional workshops to design enterprise EPM target architecture for a leading Southeast-Asian telecom (CAPEX, OPEX, revenue), translating requirements into data-model specifications and integration blueprints now being built by the client’s implementation team
  • Delivered selected projects including a consolidated data & reporting warehouse for a global manufacturer (10 k+ employees), NFI reporting for an international management & technology consultancy, and CAPEX/OPEX planning for a Southeast-Asian telecom (20 k+ employees)
Verified expert

Denis Kirpicev

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Management Consultant

Cologne
Denis Kirpicev

Last position:

Management Consultant at Freelance Management Consultant

  • Implementation of custom reporting solutions for financial KPIs aligned with specific business requirements

  • Development of a machine learning application that achieved a 250% performance improvement

  • Data Architect "Production-Oriented Quality Assurance" (03/2024–09/2024):

  • Design and implementation of an analytics platform to detect quality deviations in manufacturing

  • Build of a scalable data lakehouse architecture on Databricks in combination with SAP ERP data via SAP Datasphere

  • Close collaboration with the SAP team to harmonize bill of materials and order data

  • Visualization of KPIs to support shopfloor management

  • Lead Data Engineer "Sales Performance Monitoring" (08/2023–12/2023):

  • Design and implementation of a Databricks-based platform for analyzing sales figures and promotion effects

  • Integration of SAP SD data via SAP BW/4HANA

  • Use of Azure DevOps to orchestrate ETL jobs and deploy workflows

  • Technical Project Lead "Cloud Migration & Data Strategy" (02/2023–05/2023):

  • Migration of a heterogeneous data warehouse stack to a modern cloud architecture on Azure with Databricks as the central processing platform

  • Development of a governance-compliant data architecture to integrate SAP financial data and non-SAP sources

Technologies: Databricks, Delta Lake, Python, SAP Datasphere, Azure DevOps, PowerBI, SQL

Verified expert

Simon Gabré

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Senior SAP Consultant and Solution Architect

Koblenz
Simon Gabré

Last position:

BI Architect / Production Support at Chemical/Pharma Group (DAX)

  • Design, operation, and stabilization of the BW/4HANA and HANA reporting landscape; data modeling, ODP extraction, process chains, and production troubleshooting in a regulated corporate environment.
Verified expert

Andreas Förger

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Head of Data Platforms SAP & Non-SAP

Eppelheim
Andreas Förger

Last position:

Head of Data Platforms SAP & Non-SAP at Cobicon GmbH

Verified expert

Tobias Benz

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Managing Director & Consultant

Ehingen (Donau)
Tobias Benz

Last position:

Managing Director & Consultant at d7 Consulting GmbH

Consulting

Discover over 15,000 top freelancers

Statistics of experts using SAP Datasphere

Aggregated from the professional profiles of matched freelancers.

Experience

14 years

Position duration

2.1 years

Positions per freelancer

7

Top business areas

Information Technology, Business Intelligence, Project Management

Top industries

Information Technology, Automotive, Manufacturing

Certification focus areas

Information Technology, Project Management, Business Intelligence

Bachelor's degree or higher

100%

Master's degree or higher

67%

Doctorate

8%

Certifications per freelancer

1

Most common languages

German, English, French

Speak two or more languages

100%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 3 6 9 12
<€880 €1000+

The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany using SAP Datasphere

Rates are based on recent contracts and do not include FRATCH margin.

1200
900
600
300
Rate comparison chart
Daily rate avg. 1000 €

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

1200
900
600
300
Rate comparison chart
Median rate 1000 €

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

What it covers

SAP Datasphere is SAP’s cloud data layer for integrating, modeling, and delivering trusted data for analytics. It connects business data across SAP and non-SAP systems and keeps context with semantic models. Many teams still refer to it as SAP Data Warehouse Cloud, its former name.

Typical work

  • Connect S/4HANA, BW, and other SAP sources
  • Model business entities and reusable views
  • Prepare data for SAP Analytics Cloud and other BI tools
  • Set up governed access for shared analytics use

Where it fits

It is used when companies want one semantic layer across operational and analytical systems. Strong SAP Datasphere specialists understand data integration, warehouse design, and the difference between raw tables and business-ready models. They also know how to keep lineage and access rules clear for audit-sensitive teams.

Ecosystem skills

Work often spans SAP HANA Cloud, SAP Analytics Cloud, BW bridge, data federation, and replication flows. A good specialist can handle SQL, business modeling, and source-to-target mapping without breaking existing reporting logic. They should also understand how SAP Datasphere fits into a wider SAP landscape.

Why companies hire

Companies bring in freelance expertise for migrations from BW or older warehouse setups, new source integrations, and model cleanup after quick internal builds. This is common in Germany, where manufacturing, retail, logistics, and finance teams often need clean SAP data for planning and reporting. Remote work is common, but on-site sessions help when source systems and stakeholder workshops are complex.

What strong professionals deliver

Strong professionals document models clearly, keep naming consistent, and avoid duplicate logic across spaces. They test joins, permissions, and refresh paths, then explain trade-offs in plain language. The best specialists make SAP Datasphere easier to maintain, not just easier to launch.

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Frequently asked questions

What clients ask us most about SAP Datasphere — answered in short.

SAP Datasphere is used to combine data from SAP and non-SAP systems into a governed layer for analytics and planning. It helps teams build shared business views instead of copying logic into every report. That makes it useful for finance, supply chain, sales, and master data reporting.

SAP Datasphere focuses more on semantic modeling, federation, and business context across systems than on only storing data. SAP BW is often stronger in long-established warehouse patterns and legacy SAP landscapes. Many projects use both, especially during migration or when BW bridge is part of the design.

SAP Datasphere expertise is worth bringing in when integrations stall, reporting logic gets duplicated, or a migration from BW or another warehouse is underway. Freelancers also help when internal teams need a clean model fast for a new business area. They are useful when you need hands-on delivery rather than long internal training.

A strong SAP Datasphere specialist usually also knows SQL, SAP HANA Cloud, SAP Analytics Cloud, and source-to-target design. Knowledge of SAP BW, CDS views, and data governance is often important too. The best experts can talk to both technical and business stakeholders without losing the modeling logic.

SAP Datasphere projects can be small, but the right level of experience depends on scope. A simple source connection and model setup needs less depth than a multi-system landscape with governance, authorization, and migration concerns. Ask for examples that match your source systems and target reporting needs.

SAP Datasphere work is often delivered remotely because modeling and integration tasks can be handled in shared environments. On-site time helps when workshops are needed for data ownership, naming rules, or migration decisions. In Germany, many teams use a hybrid setup for that reason.

A strong SAP Datasphere freelancer explains why a model is built a certain way, not just how to click through the tool. Look for clear documentation, clean naming, and an ability to protect business semantics across spaces and sources. Good specialists also test permissions, refresh paths, and reporting impact before handover.

SAP Datasphere is the current product name, and SAP Data Warehouse Cloud is the former name many searchers still use. The technology moved forward, but the core idea remains the same: governed data modeling for analytics in the SAP ecosystem. When you screen freelancers, ask whether they have worked with both naming eras and the current release.

The average hourly rate of freelancers in Germany who have used SAP Datasphere in their recent projects is 125 €, which corresponds to a daily rate of about 1,000 € based on an 8-hour working day.

Of the freelancers in Germany who have used SAP Datasphere in their recent projects, 100% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 8% hold a doctorate.

On average, freelancers in Germany who have used SAP Datasphere in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.1 years.

The most common languages among freelancers in Germany who have used SAP Datasphere in their recent projects are German (100%), English (100%), and French (31%).

The most common industries among freelancers in Germany who have used SAP Datasphere in their recent projects are Information Technology (62%), Automotive (54%), and Manufacturing (46%).

The most common business areas among freelancers in Germany who have used SAP Datasphere in their recent projects are Information Technology (100%), Business Intelligence (77%), and Project Management (62%).

Main locations of FRATCH Experts, who have recently used SAP Datasphere

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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