Remote SAP HANA Developer: Cloud Modeling & Data Pipelines

EPAM Systems; Portugal; Remote; EUR 50,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation

Diverse projects

Growth opportunities

Career path

Internal events

Flexible hours

Job summary

EPAM Systems in Portugal is seeking a skilled SAP HANA Developer to design and maintain data models, pipelines, and backend solutions using SAP HANA and SAP technologies. This remote role supports analytics for manufacturing, engineering and operations.

The candidate will build Calculation Views, CDS Views, stored procedures and SQLScript, and will optimize performance for large datasets while collaborating across teams in an Agile environment.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5+ years of SAP HANA development experience.
• Proficient in SAP HANA native modeling and ETL workflows.
• Experience with SAP ECC and SAP S/4HANA integration.
• Strong problem-solving and communication skills.

Responsibilities

• Design and optimize SAP HANA native models including Calculation Views.
• Build and maintain ETL pipelines from SAP and non-SAP sources.
• Collaborate to design scalable data architectures for analytics.
• Develop end-to-end data workflows with quality monitoring.
• Deliver analytics and KPIs powered by SAP HANA.
• Optimize performance for large datasets.
• Work in Agile sprints and document best practices.

Skills

SAP HANA

ETL pipelines

Data modeling

Agile methods

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

SAP UI5

SAP Datasphere

SAP Data Intelligence

Job description

EPAM Systems in Portugal is seeking a skilled SAP HANA Developer to design and maintain data models, pipelines, and backend solutions using SAP HANA and SAP technologies. This remote role supports analytics for manufacturing, engineering and operations.

The candidate will build Calculation Views, CDS Views, stored procedures and SQLScript, and will optimize performance for large datasets while collaborating across teams in an Agile environment.