Senior Data Engineer

We are seeking a highly skilled Data Engineer to design, build, and optimize data pipelines and solutions within our Microsoft\-centric data ecosystem. The ideal candidate will have hands\-on experience with modern data engineering tools, cloud platforms, and a strong understanding of data integration, transformation, and storage. You will play a critical role in ensuring our data is reliable, scalable, and easily consumable by business users, analysts, and data scientists. Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for ingesting and transforming structured and unstructured data. * Work with Microsoft Fabric to build dataflows, lakehouses, and end\-to\-end data solutions. * Develop and optimize data storage solutions using Azure Data Lake Storage, Azure Synapse, and Azure SQL Database. * Implement streaming and batch processing using tools like Apache Spark, Azure Stream Analytics, and Kafka. * Collaborate with data architects to implement data models, governance, and security standards. * Schedule and orchestrate pipelines using Azure Data Factory or Apache Airflow. * Ensure data quality, integrity, and availability through validation, monitoring, and error\-handling frameworks. * Support advanced analytics and machine learning by delivering clean, curated, and well\-documented datasets. * Work with stakeholders to understand business needs and deliver data solutions aligned with objectives. Required Skills \& Experience * Strong programming skills in Python, SQL, and familiarity with PySpark/Spark. * Hands\-on experience with Microsoft Fabric (dataflows, lakehouses, pipelines, Synapse integration). * Proficiency in Azure data services: Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage. * Knowledge of big data frameworks (Spark, Databricks, Hadoop ecosystem). * Experience with data streaming technologies such as Kafka or Azure Event Hubs. * Solid understanding of data modeling, warehousing, and performance optimization. * Familiarity with cloud architecture and security best practices in Azure. * Experience with orchestration \& workflow automation tools (Airflow, Data Factory pipelines). * Strong problem\-solving and collaboration skills with both technical and non\-technical teams. Nice to Have * Experience with dbt for transformations. * Familiarity with Power BI for enabling analytics. * Understanding of CI/CD for data pipelines (e.g., GitHub Actions, Azure DevOps). * Exposure to machine learning workflows and MLOps. Education \& Background * Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. * 4\-5 years of professional experience in data engineering. Job Type: Full\-time Pay: AED100,000\.00 per year Experience: * Data engineering : 4 years (Required) Location: * Dubai (Required) Work Location: In person