Azure Data Engineer (ADF, Synapse, SQL/Python)​

We are seeking an Azure Data Engineer to build and optimize scalable data ingestion and transformation pipelines using Azure Data Factory and Azure Synapse . You will leverage SQL and Python to transform complex datasets, design analytics-ready data models, and orchestrate automated workflows. You will partner with business teams to deliver high-quality, trusted reporting solutions.

​ Responsibilities ​​Develop, maintain and support ETL/ELT solutions ​Build and optimize data ingestion and transformation pipelines using Azure Data Factory and Azure Synapse ​Design and implement data models to support analytics and reporting use cases ​Use SQL and Python to transform, validate and analyze large datasets ​Orchestrate workflows, scheduling and monitoring to ensure reliable pipeline execution ​Apply best practices across development, testing and deployment ​Create and maintain technical documentation ​Mentor junior engineers and contribute to team knowledge sharing​ Requirements ​​Azure Data Factory expertise for building, scheduling and monitoring pipelines ​Azure Synapse experience for data integration and analytics workloads ​ETL/ELT Solutions background including ingestion, transformation and incremental processing ​SQL proficiency for data transformation, validation and performance tuning ​Python capability for data processing and automation ​Data modeling knowledge including dimensional modeling and Lakehouse concepts ​Cloud platform familiarity, especially Microsoft Azure ​Clear communication in English, written and spoken​ Nice to have ​​Experience with Databricks for Data Analytics ​Experience with Microsoft Power BI ​Experience with Apache Airflow​