Senior Data Software Engineer with Azure Data Factory, Databricks We are looking for a Senior Data Software Engineer to support the development of a full-stack data pipeline, covering backend data warehousing, transformation processes, and business intelligence reporting, contributing to the delivery of reliable, scalable, and business-ready data solutions for our BI Services Team's purchasing domain analytics platform. Responsibilities Design and develop data warehouse solutions using MS SQL, Oracle, and Databricks Implement and maintain ETL/ELT pipelines with SSIS, dbt, and MS Fabric Ensure efficient data integration, transformation, and data quality across systems Support the creation and optimization of semantic models and reporting layers Contribute to Power BI dashboards and analytics solutions Collaborate with cross-functional teams to deliver end-to-end data flows Act as a trusted advisor while contributing to architecture improvements for the customer Guide discussions toward the best technical and business solutions Take a hands-on, delivery-focused approach to the agreed backlog Support the team in achieving its sprint goals during the migration to Databricks using an AI-driven approach Requirements 3+ years of experience in backend data warehouse development with MS SQL, Oracle, and Databricks Hands-on experience with ETL/ELT tools such as SSIS, dbt, and MS Fabric Understanding of data modeling and data processing pipelines Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field B2+ level of English proficiency Nice to have Familiarity with semantic models Exposure to Power BI or other BI/frontend tools Microsoft certifications in Azure Data Engineering, Fabric, or Power BI