SAP Data Engineer – Pipelines & Analytics on Cloud

Freudenberg Management (Shanghai) Co. Ltd.; España; On-site; EUR 43,000 - 45,000; Full time

Job summary

Freudenberg Sealing Technologies S.L.U. in Spain is seeking an experienced Data Engineer to design and build scalable data pipelines that integrate diverse data sources and secure storage.

You will transform raw data into actionable insights and collaborate with ML engineers, data scientists, and stakeholders to meet analytics needs. We expect strong SAP Datasphere/SAC/HANA expertise, Python and SQL proficiency, and experience with Databricks and cloud platforms like Azure.

Qualifications

• Bachelor’s degree or higher in CS, Data Engineering, IS, or related field (Master’s preferred).
• Proven experience as a Data Engineer or similar role.
• Strong SAP Datasphere, SAC, BDC, HANA knowledge and data modeling best practices.
• Proficiency in Python and SQL; experience with relational and non-relational databases.
• Experience integrating SAP and non-SAP data sources; knowledge of Databricks and modern data engineering frameworks.
• Cloud familiarity with Azure and IaC concepts is a plus.
• Good understanding of BI processes, data models, and reporting requirements.
• Excellent communication skills in English; German a plus.

Responsibilities

• Design and build scalable data pipelines to integrate data from multiple sources.
• Develop efficient data storage solutions securing data and ensuring accessibility.
• Create data transformation algorithms turning raw data into insights.
• Continuously optimize data pipelines and architectures for reliability.
• Implement QA systems to ensure data accuracy and consistency.
• Collaborate with ML engineers, data scientists, analysts, and stakeholders to meet data needs.

Skills

Python

SQL

English communication

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

SAP Datasphere

SAP Data Cloud (BDC)

SAP Analytics Cloud (SAC)

SAP HANA

ABAP fundamentals

CDS views

SAP data extraction frameworks

Databricks

Azure

Job description

Freudenberg Sealing Technologies S.L.U. in Spain is seeking an experienced Data Engineer to design and build scalable data pipelines that integrate diverse data sources and secure storage.

You will transform raw data into actionable insights and collaborate with ML engineers, data scientists, and stakeholders to meet analytics needs. We expect strong SAP Datasphere/SAC/HANA expertise, Python and SQL proficiency, and experience with Databricks and cloud platforms like Azure.