Senior SAP Data & Analytics Engineer
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.
- Compensation
- Not disclosed
- Location
- Lisbon, Portugal
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 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 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)
- Onsite work in Lisbon
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)
Full description
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.