Job Description: We are seeking an experienced SAP Datasphere Consultant with a strong background in SAP Analytics Cloud (SAC) and deep expertise in SAP HANA and/or BW/4HANA. The ideal candidate will have hands-on experience delivering at least one end-to-end SAP Datasphere implementation, with a strong focus on data modelling, integration, and analytics enablement. Key ResponsibilitiesLead and contribute to the design and implementation of SAP Datasphere solutions.Develop, optimize, and maintain data models within Datasphere, including:oAnalytical datasetsoData layers (e.g., staging, business, consumption)oSemantic modeling and relationshipsIntegrate data from various SAP and non-SAP sources into Datasphere.Collaborate with business stakeholders to translate requirements into scalable data models.Design and implement end-to-end data flows, ensuring data quality, governance, and performance.Work in SAC to develop reports and dashboardsSupport data virtualization and replication strategies within Datasphere.Apply best practices in data architecture, modelling standards, and performance tuning.Support in Space Mngt in Datasphere and recommendation on sizing and architectureRequired Skills & ExperienceProven experience with SAP Datasphere, including at least one full lifecycle implementation.Strong expertise in SAP Analytics Cloud (SAC):oStory building, modelling, and live/data import connectionsSolid background in SAP HANA and/or BW/4HANA (minimum 3-5+ years).Deep understanding of data modelling concepts in Datasphere, including:oViews (graphical and SQL)oFact and dimension modellingoBusiness layer modellingoData access controls and semantic usageExperience with data integration techniques (replication flows, data flows, virtual access).Proficiency in SQL and data modelling best practices.Understanding of data warehousing concepts (e.g., star schema, layered architecture).Experience working in agile delivery environments.Preferred QualificationsExperience with SAP BW/4HANA transformations and modelling.Knowledge of SAP Data Intelligence / SAP Integration Suite is a plus.Familiarity with cloud data platforms and hybrid architectures.SAP certifications in Datasphere, SAC, or BW/4HANA are advantageous.Soft SkillsStrong analytical and problem-solving abilities.Excellent stakeholder communication and requirement-gathering skills.Ability to work independently and within cross-functional teams.Proactive mindset with a focus on delivering high-quality solutions.Key Differentiators (Nice to Have)Exposure to governance, security, and data cataloging within Datasphere.SummaryThis role is ideal for a consultant who combines hands-on Datasphere delivery experience with a strong legacy SAP data platform background (HANA/BW/4HANA) and the ability to deliver modern, scalable data models integrated with SAC analytics.
Job Description: We are seeking an experienced SAP Datasphere Consultant with a strong background in SAP Analytics Cloud (SAC) and deep expertise in SAP HANA and/or BW/4HANA. The ideal candidate will have hands-on experience delivering at least one end-to-end SAP Datasphere implementation, with a strong focus on data modelling, integration, and analytics enablement. Key ResponsibilitiesLead and contribute to the design and implementation of SAP Datasphere solutions.Develop, optimize, and maintain data models within Datasphere, including:oAnalytical datasetsoData layers (e.g., staging, business, consumption)oSemantic modeling and relationshipsIntegrate data from various SAP and non-SAP sources into Datasphere.Collaborate with business stakeholders to translate requirements into scalable data models.Design and implement end-to-end data flows, ensuring data quality, governance, and performance.Work in SAC to develop reports and dashboardsSupport data virtualization and replication strategies within Datasphere.Apply best practices in data architecture, modelling standards, and performance tuning.Support in Space Mngt in Datasphere and recommendation on sizing and architectureRequired Skills & ExperienceProven experience with SAP Datasphere, including at least one full lifecycle implementation.Strong expertise in SAP Analytics Cloud (SAC):oStory building, modelling, and live/data import connectionsSolid background in SAP HANA and/or BW/4HANA (minimum 3-5+ years).Deep understanding of data modelling concepts in Datasphere, including:oViews (graphical and SQL)oFact and dimension modellingoBusiness layer modellingoData access controls and semantic usageExperience with data integration techniques (replication flows, data flows, virtual access).Proficiency in SQL and data modelling best practices.Understanding of data warehousing concepts (e.g., star schema, layered architecture).Experience working in agile delivery environments.Preferred QualificationsExperience with SAP BW/4HANA transformations and modelling.Knowledge of SAP Data Intelligence / SAP Integration Suite is a plus.Familiarity with cloud data platforms and hybrid architectures.SAP certifications in Datasphere, SAC, or BW/4HANA are advantageous.Soft SkillsStrong analytical and problem-solving abilities.Excellent stakeholder communication and requirement-gathering skills.Ability to work independently and within cross-functional teams.Proactive mindset with a focus on delivering high-quality solutions.Key Differentiators (Nice to Have)Exposure to governance, security, and data cataloging within Datasphere.SummaryThis role is ideal for a consultant who combines hands-on Datasphere delivery experience with a strong legacy SAP data platform background (HANA/BW/4HANA) and the ability to deliver modern, scalable data models integrated with SAC analytics.
Based on Southeast Asia business scenarios and Agent applications, participate in designing AI business implementation scenarios to help improve business efficiency and solve business pain points.
Currently pursuing an Undergraduate or Master's degree in Computer Science, Software Engineering, or a related technical discipline;
Solid foundation in computer science and excellent engineering coding skills, with proficiency in at least one mainstream programming language or technology stack (TS/Go/Java/Android/iOS), and the ability to complete module solution design, development, issue localization, and performance optimization under guidance;
...
Learn PwC's Global Best AML methodology. PwC's Global Best covers requirements related to suspicious transaction, know-your-customer identification program, OFAC, FATCA, currency transaction reporting, watch-list monitoring and all other laws and regulations and requirements designed to detect and prevent financial crime, money laundering, fraud and terrorism.
Contribute to the further development of your own technical acumen
Workflow Automation & SOPs: Architect, implement, and refine scalable operational frameworks and SOPs. Build automated workflows (e.g., auto-populating briefs into master campaign calendars, automated content setup triggers) to minimise manual configuration time and eliminate operational friction.
SLA & Ingestion Architecture: Design and enforce clear Service Level Agreements (SLAs), Tiered brief lead times, and emergency send cutoffs to protect pod bandwidth and prevent last-minute ad-hoc requests.
Process Standardisation & Playbooking: Package operational wins, channel guardrails, and intake pilots into standardised regional playbooks that can be easily scaled and replicated across new or long-tail SEA markets.
...
Review and validate Line 1 value-risk assessments for data use cases, and support complex assessments requiring Line 2 guidance or escalation.
Support the administration of the Data Administration Group, agenda preparation, decision documentation and action tracking.
Maintain documentation and tracking of data governance decisions, issues, escalations, action items and compliance evidence for management reporting and audit readiness.
...
To lead discussions on high level solution design for medium to complex level enhancements, perform effort estimations for enhancements and ensure all considerations are taken for the end-to-end solutioning, to build, test, deliver the enhancements within the agreed timeframe and with quality.
To maintain documentation according to firm standards, best practices, and standard operating procedures
To fully comply with and adhere to all the standard AMS process & procedures that are developed, and client’s IT policies that applies.
...
Continuously review and enhance curriculum based on classroom performance, teacher feedback, assessment data, and educational best practices.
Develop teacher-ready lesson plans, teaching protocols, classroom activities, worksheets, assessments, model answers, and instructional resources that teachers can deliver confidently with minimal additional preparation.
Create differentiated learning materials that cater to varying student abilities while maintaining curriculum rigour.
...