Senior SAP Data Engineer - Cloud-Native Analytics

Scandinavian Tobacco Group Tobacco Service B.V.; Carnaxide; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

Scandinavian Tobacco Group is seeking a Senior SAP Data Engineer to join our Data & Analytics team in Lisbon. You will build a cloud-native data platform by connecting SAP Datasphere, SAP Business Data Cloud, SAC, Databricks, Microsoft Fabric, and Power BI to deliver trusted data products for reporting and planning.

Responsibilities include designing data models, building pipelines from SAP S/4HANA, ensuring data quality and governance, and collaborating with finance, supply chain, and sales to

Qualificações

• 5+ years in data engineering, analytics engineering, or SAP data modeling.
• Hands-on SAP Datasphere experience with BDC.
• Experience integrating data from SAP S/4HANA.
• Strong knowledge of SAP data models (FI/CO, SD, MM).
• Strong SQL skills and data transformation knowledge.

Responsabilidades

• Design and implement data models and data products in SAP Datasphere.
• Build and optimize cloud-native data pipelines from SAP S/4HANA and other SAP/non-SAP sources.
• Integrate SAP data into the broader cloud data platform (Databricks, Microsoft Fabric).
• Develop analytical datasets consumed by SAP Analytics Cloud (SAC) and Power BI.
• Ensure high data quality, consistency, and governance across SAP and enterprise data assets.
• Collaborate with business stakeholders (finance, supply chain, sales) to translate requirements into scalable data solutions.

Conhecimentos

SAP Datasphere

SQL

Data modeling

Data pipelines

Power BI

Ferramentas

Databricks

Microsoft Fabric

Power BI

Descrição da oferta de emprego

Scandinavian Tobacco Group is seeking a Senior SAP Data Engineer to join our Data & Analytics team in Lisbon. You will build a cloud-native data platform by connecting SAP Datasphere, SAP Business Data Cloud, SAC, Databricks, Microsoft Fabric, and Power BI to deliver trusted data products for reporting and planning.

Responsibilities include designing data models, building pipelines from SAP S/4HANA, ensuring data quality and governance, and collaborating with finance, supply chain, and sales to