Senior Data Engineer (ID:3458)

As a Senior Data Engineer , you will: Act as a Senior Data Engineer, designing, building, and maintaining scalable data solutions on the Azure platform. Develop and manage data pipelines using Azure Synapse Pipelines, T-SQL, Synapse Data Warehouse, and Dataflows. Transform and prepare enterprise data for analytics and reporting use cases. Work extensively with Databricks, using PySpark and SparkSQL for data processing and transformations. Convert data sourced from Oracle ERP systems into consumable formats for Power BI and Power Apps reporting. Support and contribute to modern data platform initiatives, including exposure to Microsoft Fabric where applicable. Ensure data quality, performance optimization, and reliable delivery across data pipelines. What You Bring to the Table: 8–10 years of overall experience as a Data Engineer or in a similar data-focused role. Solid experience with Databricks, PySpark, and SparkSQL. Exposure to Microsoft Fabric is an added advantage. Good understanding of Oracle ERP data, particularly Financials, Sales, and HCM domains. Experience transforming ERP source data into analytics-ready datasets for reporting platforms such as Power BI and Power Apps. Proven ability to work independently while collaborating with cross-functional technical and business teams. You should possess the ability to: Design and implement end-to-end data pipelines in Azure-based data platforms. Handle large-scale data transformations using Spark-based technologies. Translate business requirements into efficient and scalable data models. Work autonomously while coordinating effectively with multiple stakeholders. Optimize data performance, reliability, and usability for reporting and analytics. Adapt to evolving data technologies and support continuous improvement initiatives. What we bring to the table: Opportunities to work on enterprise-scale data engineering initiatives using Azure and Databricks. Exposure to modern data platforms and analytics-driven reporting solutions. A role that combines technical depth with business-facing collaboration. An environment that values ownership, independence, and data engineering expertise. Involvement in transforming complex ERP data into meaningful business insights. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Aswin Dhanvandhar Phone: +31 20 369 0609 ; Extn :141 Email: aswin.d@stafide.nl LinkedIn:https://www.linkedin.com/in/aswin-dhanvandhar/