Azure Data Engineer

🚀 About the Role

We are looking for an experienced Azure Data Engineer to lead the design and implementation of scalable, high-performance data solutions on the Azure Data Platform .

In this role, you will focus on integrating financial data from SAP BW and SAP BFC into Azure , establishing a robust and automated data foundation that supports advanced analytics and AI-driven KPI prediction models .

You’ll work closely with cross-functional teams to ensure that data pipelines, transformations, and models are reliable, secure, and optimized for performance — driving data-driven decision-making at an enterprise level .

🎯 Key Responsibilities

• Design and implement ETL / ELT pipelines to extract, transform, and load financial data from SAP BW and SAP BFC into Azure using Microsoft Fabric .
• Use Azure Functions and Kafka for streaming and event-driven architectures , enabling near real-time data ingestion and analytics.
• Deploy and manage data processing components in Docker containers , ensuring flexibility and scalability across environments.
• Develop optimized data models for analytical and AI consumption; perform data cleansing, transformation, and validation for quality and consistency.
• Implement monitoring, alerting, and optimization mechanisms to maintain pipeline performance and reliability.
• Ensure data governance, security, and compliance with enterprise standards, maintaining data integrity and lineage.
• Collaborate with data science teams to provide clean, ready-to-use datasets for AI and KPI prediction models.
• Deliver technical documentation, architecture diagrams , and training sessions for platform handover and sustainability.

🧠 Ideal Candidate Profile

🧰 Technical Skills

🎓 Education & Language Requirements

🚀 Why Join Us