About this role
5+ years of experience with at least one relevant project using some of the technologies mentioned below:
- Data Visualization: SAP Analytics Cloud (SAC) and/or SAC Planning. Strong experience designing SAC reporting stories, Analytics Designer applications and planning solutions, applying performance and usability best practices.
- Data Warehouse: SAP BW/4HANA, SAP BW on HANA, SAP Datasphere, SAP Business Data Cloud (BDC). Proven expertise in:
- designing data architectures and data models in SAP Datasphere, including dataflows, replication flows and transformation flows
- building and maintaining complex SQL-based logic (SQLScript, table functions, stored procedures)
- implementing data access controls and row-level security
- Migration & Modernization: Experience with BW to Datasphere/BDC migration approaches (e.g. BW Bridge, data product generation, shell or remote conversion), data tiering and archiving strategies.
- SAP HANA Modelling: Calculation Views, SQL scripting and performance optimization.
- S/4HANA Embedded Analytics: ABAP CDS Views, Custom Analytical Queries, Fiori Analytical Apps.
- Integration: Deep understanding of data integration with S/4HANA, BW and non-SAP sources (ODP, CDS extraction, APIs, federation vs replication), and of designing solutions for performance and scalability.
- Demonstrated fluency in using AI assistants (e.g. Claude, ChatGPT, Copilot) as part of daily delivery work, and the ability to guide the team on using AI responsibly and effectively, including validating output and protecting client data. This includes:
- generating and reviewing SQL/SQLScript
- documenting data models
- analyzing SAC and Datasphere content
- drafting assessment reports and client deliverables
- Experience leading workshops with business and IT stakeholders, and translating requirements into solution designs
- Experience coaching and reviewing the work of junior consultants
- Excellent communication skills with the ability to build trusted client relationships
- Graduate of computer science (focus in databases, data modelling, analytics) or economics studies (Finance, Accounting or Cybernetics)
Nice to have:
- Cloud Data Platforms: SAP Databricks, SAP Snowflake, Azure
- Experience with AI-driven automation in SAP projects, e.g. connecting AI agents to Datasphere via APIs/CLI or building reusable AI workflows for documentation, migration or assessment tasks
- Pre-sales experience: estimations, solution proposals, demos
- SAP certifications in Datasphere, SAC or BW/4HANA
- Drive the full development cycle of complex data platforms, from requirements and design to go-live and hypercare
- Architect, model, design and build end-to-end modern data integration and analytics solutions in the SAP environment
- Act as the technical lead on workstreams, owning solution design, quality and delivery
- Lead client workshops, assessments and design decisions
- Coach and mentor junior consultants, and review their work
- Support pre-sales activities and the development of new offerings
- Drive change by staying up to date with the latest tools and technologies
- Fast-paced working environment within geographically distributed teams
- Greenfield projects! Opportunity to design innovative, modern solutions
- Exposure to wide variety of cutting-edge technologies and frameworks
- Chance to get involved and drive prototype projects (frameworks, engines, etc.) as part of our Data & Analytics practice
- Trainings! We encourage you to attend as many as possible and conduct some to help your colleagues grow while developing your skills
Deloitte Technology Delivery Center provides IT technology services to Deloitte Member Firm clients across Europe, the US, the Middle East and Africa. We are part of a strongly integrated global network of Deloitte Delivery Centers. Our methods, breadth and depth in capabilities, and experienced teams uniquely position us to deliver solutions, services and projects that traditionally would have been completed onshore.
We have expertise in multiple capabilities across Business Operations (Systems Delivery & Modernization, Cloud & Engineering, Operations Transformation ), Customer & Marketing (Marketing & Commerce, Digital Customer, Digital Foundry & Operations ), Enterprise Tech & Performance (SAP, ServiceNow, Anaplan ), Human Capital (HR Transformation, Organizational Transformation ), and Strategy, Analytics and M&A (Data Modernization & Analytics, AI Insights and Engagement).
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