




Job Summary: Develops and integrates data pipelines and analytical models, participating in quality, governance, and security initiatives under technical guidelines. Key Highlights: 1. ETL/ELT pipeline development (SAP BW - Azure Data Factory / Synapse / Fabric) 2. Support for data models (BW / Lakehouse) and data quality validations 3. Participation in technical decisions and improvement proposals Junior Data Engineer SAP BW with Azure Objective Develop and integrate data pipelines and analytical models, participating in quality, governance, and security initiatives under the guidance of a technical lead. Responsibilities Develop ETL/ELT pipelines (SAP BW - Azure Data Factory / Synapse / Fabric). Support data models (BW / Lakehouse). Execute data quality validations. Monitor pipelines and address incidents. Document processes, rules, and data dictionaries. Participate in security-related topics (RLS, access controls). Support migrations and improvements. Scope Implements and proposes basic improvements. Participates in technical decisions. Requirements One to three years of experience in data / BI / ETL SQL (mandatory) Basic knowledge of ETL / dimensional modeling Azure Data Factory / Synapse / Fabric Power BI (basic/intermediate) Desirable SAP BW (exposure) Basic Python Data Lake / Lakehouse Concepts of data quality and data governance English Technical reading proficiency required . -Requirements- Minimum education: Higher education - Bachelor's degree 3 years of experience Keywords: data, data, engineer, engineers, female engineer, eng, engineer, junior
