NTT DATA Romania SA

Compensation

Full Description

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 Datasphere Build and manage spaces, views, and data flows in Datasphere Integrate SAP Datasphere with SAP source systems (S/4HANA, BW/4HANA) Support integration scenarios with non-SAP data platforms where applicable Apply best practices for data modeling, performance, security and governance Collaborate with SAP Analytics Cloud teams to enable reporting and planning use cases Participate in solution design and architecture discussions Support 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 roles Strong experience in data modeling and semantic layer design Hands-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 models Exposure to cloud data platforms (Azure, Snowflake, Databricks) Familiarity with data governance or Data Mesh concepts Awareness of AI-enabled analytics and emerging SAP data innovations Interest in future SAP data platforms such as Business Data Cloud (BDC) SAP certifications in data, analytics or HANA Ability to collaborate with analytics, architecture and business teams Strong communication skills and fluent English (German is nice to have)