Pagrindinis
SAP Datasphere / Data Modeling Senior Consultant
Paskelbta: 24.05.2026
Galutinė data: 08.07.2026
Darbo nuoroda: 18ced14beab71ec4e20f0566c3ccb29e
Informacija apie darbą
Vieta
Bucuresti, Romania
Įmonė
Jobio
Klientas / Darbdavys
Ntt Data Romania
Darbo nuoroda
18ced14beab71ec4e20f0566c3ccb29e
Skelbimo tipas
Pagrindinis
Reikalingas ES darbo leidimas
Ne
Paskelbta
24.05.2026
Galutinė data
08.07.2026
Darbo aprašymas
Who we are We are part of a global SAP Practice, supporting international customers in building and evolving modern, cloud-based data and analytics platforms.Our teams focus on data modeling, semantic layers and integration, ensuring data consistency, quality and reusability across complex enterprise landscapes.We work closely with architects, analytics teams and business stakeholders to enable scalable, governed and insight-driven data solutions.We are looking for a Senior SAP Datasphere / Data Modeling Consultant to join our SAP Data & Analytics team.In this role, you will focus on data modeling, semantic design and integration, enabling analytics and planning use cases across SAP and non-SAP platforms.This role is centered on data design quality, modeling best practices and collaboration with analytics and architecture teams. What you'll be doing Design and implement data models and semantic layers in SAP DatasphereBuild and manage spaces, views, and data flows in DatasphereIntegrate SAP Datasphere with SAP source systems (S/4HANA, BW/4HANA)Support integration scenarios with non-SAP data platforms where applicableApply best practices for data modeling, performance, security and governanceCollaborate with SAP Analytics Cloud teams to enable reporting and planning use casesParticipate in solution design and architecture discussionsSupport documentation, knowledge sharing and mentoring activities What You’ll Bring Along Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.Minimum 5-10 years of experience in SAP data, BI or analytics-related rolesStrong experience in data modeling and semantic layer designHands-on experience with SAP Datasphere (or strong background in SAP HANA / BW with transition to Datasphere)Understanding of analytical modeling concepts (facts, dimensions, hierarchies)Good understanding of SAP BTP concepts (connectivity, security, integrations)Experience working with SAP data sources (S/4HANA, BW/4HANA)Experience with SAP Analytics Cloud consumption of Datasphere modelsExposure to cloud data platforms (Azure, Snowflake, Databricks)Familiarity with data governance or Data Mesh conceptsAwareness of AI-enabled analytics and emerging SAP data innovationsInterest in future SAP data platforms such as Business Data Cloud (BDC)SAP certifications in data, analytics or HANAAbility to collaborate with analytics, architecture and business teamsStrong communication skills and fluent English (German is nice to have)
Įgūdžiai
advise client on technical possibilities
advise on communication strategies
advise on efficiency improvements
advise on environmental risk management systems
advise on financial matters
advise on personnel management
advise on risk management
advise on sustainability solutions
align efforts towards business development
analyse business plans
analyse business processes
analyse business requirements
analyse external factors of companies
analyse financial performance of a company
analyse internal factors of companies
analyse the context of an organisation
apply change management
build business relationships
Business Analysis
Business Analytics
business communication
business incubation
Business Intelligence
Business Law
business process modelling
business processes
business strategy concepts
conduct qualitative research
conduct quantitative research
consultation methods
Corporate Law
define organisational standards
Financial Statements
human resource management
identify processes for re-engineering
identify undetected organisational needs
implement a management system
interpret financial statements
interview people
liaise with managers
make data-driven decisions
make strategic business decisions
Management Consulting
management systems standards
market entry strategies
operational research
organisational learning
organisational policies
perform business analysis
quality standards
report analysis results
seek innovation in current practices
Strategic Planning
Trading Software