Senior SAP Data & Analytics Engineer

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Lisbon

8 dni temu

W skrócie

Senior SAP Data & Analytics Engineer (Datasphere, Business Data Cloud, Fabric) needed ASAP in Lisbon. Responsibilities include designing data models, building pipelines, integrating SAP data, and developing analytical datasets. Requires 5+ years of data engineering/analytics experience with SAP Datasphere, S/4HANA integration, and SQL. Experience with Databricks/Microsoft Fabric is a plus.

Słowa kluczowe

SAP Datasphere Business Data Cloud SAP Analytics Cloud Databricks Microsoft Fabric Power BI SAP S/4HANA SQL Data Engineering

Skrót przygotowany przez AI na podstawie treści ogłoszenia.

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

Start: ASAP and latest 01.11.26Location: Onsite work required in LisbonAs 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 solutionsKey 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/4HANASolid 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.