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Senior SAP Data & Analytics Engineer

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Summary

Senior SAP Data & Analytics Engineer who designs data models and data products in SAP Datasphere, builds cloud-native pipelines from SAP S/4HANA into Databricks and Microsoft Fabric, and develops analytical datasets for SAP Analytics Cloud and Power BI. Onsite in Lisbon, with 5+ years of data/SAP experience required.

Role: Senior SAP Data & Analytics Engineer (Datasphere, Business Data Cloud & Fabric)

Start: ASAP and latest 01.11.26

Location: Onsite work required in Lisbon

As a Senior SAP Data & Analytics Engineer, you will leverage your expertise in SAP Datasphere, Business Data Cloud, SAP Analytics Cloud, Databricks, Microsoft Fabric, and Power BI to transform complex data into reliable, business-ready products that facilitate reporting, planning, and advanced analytics across the organization.

Main Responsibilities:

  • Design and implement data models and data products in SAP Datasphere

  • Build and optimize cloud-native data pipelines from SAP S/4HANA and other data sources

  • Integrate SAP data into broader cloud data platforms like Databricks and Microsoft Fabric

  • Develop analytical datasets for SAP Analytics Cloud (SAC) and Power BI

  • Ensure high data quality, consistency, and governance across SAP and enterprise data

  • Collaborate with business stakeholders to translate requirements into scalable data solutions

Key Requirements:

  • 5+ years of experience in data engineering, analytics engineering, or SAP data modeling

  • Strong hands-on experience with SAP Datasphere and Business Data Cloud

  • Experience in integrating data from SAP S/4HANA

  • Solid understanding of SAP data models (FI/CO, SD, MM, etc.)

  • Strong SQL skills and understanding of data transformation logic

  • Experience in modern cloud data ecosystems (e.g., Databricks, Microsoft Fabric, Azure)

Nice to Have:

  • Experience with SAP Business Data Cloud or similar cloud integration frameworks

  • Hands-on experience with Databricks (Spark, Delta Lake) or Microsoft Fabric

  • Experience with end-to-end data pipelines beyond SAP (ELT/ETL frameworks)

  • Familiarity with Lakehouse architecture and medallion design patterns

  • Experience with data governance and master data (e.g., SAP MDG/MDQ)

  • Knowledge of planning processes (finance or supply chain)

Please apply if you meet the requirements and are ready to make an impact in a dynamic role.

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