SAP HANA Cloud / Data Integration Engineer

Keyrus; Singapore; Remote; SGD 148,000 - 221,000; Full time

Job summary

Keyrus in Singapore / APAC is seeking an experienced SAP HANA Cloud / Data Integration Engineer to contribute to an enterprise AI and data integration initiative for a leading organization in Singapore.

The role will involve analyzing SAP HANA Cloud and data warehouse structures, designing semantic data models, exposing data through APIs, and collaborating with cloud and AI teams to enable reliable analytics and governance across the enterprise.

Qualifications

• 4+ years of experience in SAP data engineering or SAP HANA.
• Expertise in SAP HANA Cloud, SQL and data modelling.
• Experience exposing data through REST/OData APIs and JDBC.

Responsibilities

• Analyze SAP HANA Cloud and data warehouse structures.
• Design and optimize SQL views and semantic data models.
• Expose curated data through secure APIs.
• Support connectivity between SAP HANA Cloud and external applications.
• Collaborate with cloud, API and AI engineering teams.
• Validate data quality and reconcile with source systems.

Job description

Keyrus | Singapore / APAC | Enterprise Data & AI

About the Opportunity

Keyrus is seeking an experienced SAP HANA Cloud / Data Integration Engineer to contribute to an enterprise AI and data integration initiative for a leading organization in Singapore.

The project focuses on making existing enterprise data accessible to modern AI applications through secure, reusable and well-governed integration services.

You will collaborate with our APAC-based technical team and regional architects to deliver the structured data foundation for an initial enterprise AI pilot and support the design of future integration capabilities.

Key Responsibilities

• Analyze existing SAP HANA Cloud and enterprise data warehouse structures.
• Identify and prepare business datasets required for AI-powered analytics and natural-language queries.
• Design and optimize SQL views, calculation views and reusable semantic data models.
• Expose curated data through secure APIs or appropriate integration mechanisms.
• Support connectivity between SAP HANA Cloud and external applications or middleware.
• Work with AI integration engineers to enable reliable financial and operational analysis.
• Validate data quality, metric definitions, accuracy and reconciliation against source systems.
• Support testing, performance optimization, troubleshooting and technical documentation.

Required Experience

• 4+ years of experience in SAP data engineering, SAP HANA or enterprise data integration.
• Strong expertise in SAP HANA Cloud, SQL and data modelling.
• Experience with SAP HANA calculation views or semantic modelling.
• Good understanding of SAP S/4HANA data structures and enterprise reporting.
• Experience exposing enterprise data through REST/OData APIs, JDBC or integration services.
• Knowledge of data security, access controls and performance optimization.
• Ability to collaborate effectively with cloud, API and AI engineering teams.

Advantageous Skills

• SAP Datasphere or SAP Business Data Cloud.
• SAP BTP integration services.
• Financial reporting, budgeting or property performance analytics.
• Python and cloud-based data integration.
• Experience supporting AI assistants, analytical APIs or natural-language querying of enterprise data.

Location: Singapore or APAC remote, with availability for Singapore business-hour collaboration

Expected start: January 2027, subject to project confirmation

Duration: Initial project engagement of approximately 2–3 months, with possible extensions

Engagement arrangement: Project-based contract