2 of 2 SQL Server Integration Services Jobs in Oldham

as other stakeholders to ensure data is collected, stored and processed in line with business needs. Some key objectives & responsibilities will include: Data Pipeline Development: Improve and maintain existing SSIS data flows, and work towards implementation of Azure Data Factory pipelines to replace existing SSIS architecture. Data Modelling & Transformation: Leverage T-SQL and SSIS to manage and transform … data, ensuring high-quality outputs, as well as assisting our Data Analysts with Azure Analysis Services models and implementation of new Fabric models. Database Management: Maintain, improve, & optimise the existing SQL Databases hosted on our VMs and in Azure, and assist in implementation of OneLake with medallion architecture. Reporting & Visualization: Collaborate with business teams and our … professionals, management, and various stakeholders within the Group. You’ll also be or have: Experience in data engineering or a similar role. Extensive experience with T-SQL, SSIS, and SQL Server. Experience using DevOps and Git. Proficient with Analysis Services (ideally in Azure). Experience with Azure Data Factory. Exposure to Data Lake architecture More ❯

consider remote working for the right person). The main purpose of the role is to manage the migration of data between insurance policy administration systems and its integration into an existing Data Warehouse. The ideal candidate will have a strong background in SQL-based technologies and a deep understanding of data migration processes, ensuring data … insurance policy administration systems. Data Integration: Design and implement processes to integrate migrated data into an existing data warehouse. ETL Development: Develop and maintain ETL processes using SSIS to extract, transform, and load data. Ensure that ETL workflows are performant, scalable, and aligned with project requirements. Database Management: Use T-SQL to query, manipulate, and analyse … a data warehouse environment with knowledge of data governance and security best practices. Strong understanding of data quality, data mapping, and reconciliation techniques. Proficiency in T-SQL, SSIS, and SQL Server. Experience using DevOps and Git. Strong analytical skills and a keen eye for detail. Clear communication skills and the ability to work independently. Exposure to More ❯