Data Engineer (Senior) (m/f/d)

Design and implement end-to-end data architectures within Microsoft Fabric, including Synapse Data Warehousing.
Develop and manage robust data pipelines to extract, load, and transform data from SAP systems (e.g., ECC, S/4HANA, BW).
Perform data modeling and schema design for enterprise data warehouses in Microsoft Fabric.
Ensure data quality, security, and compliance standards are met throughout the data lifecycle.
Collaborate with BI, analytics, and business teams to understand data requirements and deliver trusted datasets.
Monitor and optimize performance of data processes and infrastructure.
Document technical solutions and develop reusable frameworks and tools for data ingestion and transformation.

Required Skills and Qualifications:

3-6 years of experience as a Data Engineer or in a similar role.
Hands-on experience with Microsoft Fabric including Synapse (Data Warehousing, Notebooks, Spark)
Strong understanding of data warehouse architecture and dimensional modeling.
Experience integrating and extracting data from SAP systems, such as:

SAP ECC or S/4HANA
SAP BW
SAP CDS Views or OData Services
Expertise in data transformation using SQL, PySpark, and/or other ETL tools.
Strong knowledge of data governance, security, and lineage in enterprise environments.
Advanced knowledge in SQL, database procedures/packages and dimensional modeling
Proficiency in Python, and/or DAX is a plus.
Familiarity with Power BI for downstream reporting (optional but preferred).
Excellent problem-solving and communication skills.

Preferred Qualifications:

Microsoft Certified: Fabric Analytics Engineer Associate or equivalent.
Prior experience working in cloud environments (Azure preferred).
Understanding of SAP data structures and SAP integration tools like SAP Data Services, SLT, or RFC/BAPI connectors.
Experience with DevOps practices and version control (e.g., Git).