Remote SAP Data Analytics Engineer — Dashboards & Data Modeling

EPAM Systems; Portugal; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work hours

Career growth opportunities

Internal communities

Engineering excellence standards

Job summary

EPAM Systems is seeking an SAP Data Analytics Specialist to join our Portugal team in a remote capacity. You will design data models, build dashboards, and enable analytics using SAP Datasphere and SAP Analytics Cloud, collaborating with stakeholders to ensure data quality across sources.

You will also work with Databricks and Python to support advanced reporting use cases. The role requires strong SQL and GitHub workflows, API integration experience, and a keen eye for data integrity in

Qualifications

• Proven experience in data modeling and enterprise reporting solutions.
• Hands-on experience with SAP Datasphere and SAP Analytics Cloud.
• Experience integrating data from diverse sources using APIs and authentication methods (Bearer tokens, OIDC).
• Proficiency in SQL and Git-based development workflows (GitHub).
• Familiarity with Databricks for analytics use cases.

Responsibilities

• Design and develop data models in SAP Datasphere using graphical and SQL-based views.
• Build interactive dashboards in SAP Analytics Cloud.
• Integrate data from external sources using APIs and authentication methods.
• Collaborate with stakeholders to translate reporting requirements into solutions.
• Ensure data quality and performance across reporting layers.
• Leverage Databricks for advanced analytics and engineering.
• Develop scripts for data processing in Python within Databricks.

Skills

SAP Datasphere

SAP Analytics Cloud

Databricks

SQL

Python

API integration

GitHub workflows

Tools

GitHub

Job description

EPAM Systems is seeking an SAP Data Analytics Specialist to join our Portugal team in a remote capacity. You will design data models, build dashboards, and enable analytics using SAP Datasphere and SAP Analytics Cloud, collaborating with stakeholders to ensure data quality across sources.

You will also work with Databricks and Python to support advanced reporting use cases. The role requires strong SQL and GitHub workflows, API integration experience, and a keen eye for data integrity in