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Data Engineer (Senior) (m/f/d)
FTE
Ras Al Khaimah, United Arab Emirates
31.07.2025
Role: Data Engineer (Senior)
Location: Ras Al Khaimah
Your Skills and Experience
Required Skills and Qualifications:
Preferred Qualifications:
Location: Ras Al Khaimah
Your Skills and Experience
- 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).