SAP Data Engineer

EPAM Systems; Montenegro; On-site; BRL 120,000 - 240,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning library access

Global career opportunities

Employee Groups

Job summary

EPAM Systems is seeking a motivated SAP Data Engineer to join the data and analytics team in Brazil. You will connect enterprise SAP data with modern cloud data architecture, developing scalable pipelines and reusable Data Products for analytics and operations.

Responsibilities include building batch and streaming pipelines, integrating SAP SAP ERP/S4HANA and external sources, and collaborating with cross-functional teams to follow best practices in data governance and CI/CD data workflows.

Qualifications

• 3+ years of professional experience in data engineering, data warehousing, or data integration.
• Working knowledge of Apache Spark for distributed data processing and transformation.
• Solid SQL skills and proficiency in Python or Java for data pipeline development.
• Familiar with SAP Datasphere and/or SAP Business Data Cloud.
• Knowledge of data modeling concepts (dimensional modeling) and modern data architecture approaches (Data Mesh / Data Fabric).
• English level B1+ for effective communication.

Responsibilities

• Develop and maintain scalable batch and streaming data pipelines.
• Integrate and transform data from SAP ERP/S4HANA and external applications.
• Contribute to reusable Data Products for analytics, ML, and operational workflows.
• Use SAP Business Data Cloud, SAP Datasphere, and Apache Spark in a cloud ecosystem.
• Support data governance, metadata management, and data lineage.
• Collaborate with data architects, analysts, and engineers to apply data modeling standards.

Job description

We are looking for a motivated and hands-on SAP Data Engineer to join our data and analytics team.

In this role, you will contribute to connecting enterprise SAP data with modern cloud data architecture. You will help develop and maintain scalable data pipelines, integrate and transform SAP and non-SAP sources, and support the creation of high-quality, reusable Data Products that enable analytical and operational excellence across the organization.

Responsibilities

• Develop and maintain scalable and reliable batch and streaming data pipelines under the guidance of senior engineers
• Integrate and transform data from various enterprise sources (including SAP ERP/S4HANA and external applications) using modern tooling
• Contribute to the development of reusable, domain-oriented Data Products for analytical reporting, machine learning, and operational workflows
• Use SAP Business Data Cloud, SAP Datasphere, and Apache Spark to process datasets within a modern cloud ecosystem
• Support data governance efforts by following compliance, data quality, and security practices; assist with metadata management and data lineage
• Collaborate with data architects, analysts, and other engineers to apply data modeling standards, participate in CI/CD data workflows, and follow best practices in data engineering

Requirements

• 3+ years of professional experience in data engineering, data warehousing, or data integration
• Practical experience with SAP Datasphere and/or SAP Business Data Cloud
• Working knowledge of Apache Spark (PySpark/Scala) for distributed data processing and transformation
• Good understanding of data modeling concepts (dimensional modeling) and awareness of modern data architecture approaches (Data Mesh / Data Fabric)
• Solid SQL skills and proficiency in Python or Java for data pipeline development
• English level B1+ for effective communication

Nice to have

• Exposure to Collibra for data governance and cataloging
• Experience with Document Management Systems (DMS) integration
• Familiarity with cloud environments (AWS, Azure, or GCP)
• Strong problem-solving skills, willingness to learn, and the ability to collaborate effectively in an agile, cross-functional global environment

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn