Seeking a hands-on data platform architect/engineer to reverse-engineer a legacy solution (currently on a VM) and migrate it to Microsoft Fabric. The goal is to stabilize critical data processes and lay the groundwork for a modular, scalable enterprise data platform. A working Microsoft Fabric-based replication of the legacy solution, with supporting documentation … and recommendations for future improvements. Analyze and document the existing legacy system. Rebuild and optimize data pipelines in Microsoft Fabric using PySpark. Conduct forensic analysis of data transformations and dependencies. Collaborate with data architects, engineers, and analysts. Troubleshoot data quality and integration issues. Provide recommendations for future modularization and scalability. More ❯
Seeking a hands-on data platform architect/engineer to reverse-engineer a legacy solution (currently on a VM) and migrate it to Microsoft Fabric. The goal is to stabilize critical data processes and lay the groundwork for a modular, scalable enterprise data platform. A working Microsoft Fabric-based replication of the legacy solution, with supporting documentation … and recommendations for future improvements. Analyze and document the existing legacy system. Rebuild and optimize data pipelines in Microsoft Fabric using PySpark. Conduct forensic analysis of data transformations and dependencies. Collaborate with data architects, engineers, and analysts. Troubleshoot data quality and integration issues. Provide recommendations for future modularization and scalability. More ❯
virtual assistance. Develop and implement intelligent automation and AI-driven solutions to optimize operational efficiency and reduce manual processes across the organization. Lead the design and orchestration of modern data integration workflows using cloud-native platforms such as Azure Data Factory and Matillion for efficient data movement and transformation. Requirements: Technical Proficiency: Deep understanding of Microsoft Power … Platform ecosystem. Skilled in leveraging cloud technologies such as Azure for infrastructure and data solutions, with hands-on experience in Snowflake, and QlikSense for modern analytics and data transformation. Leadership Capabilities: Demonstrated success in leading multidisciplinary IT teams, fostering collaboration across technical and business functions. Adept at managing relationships with stakeholders at all levels, ensuring alignment between technology More ❯
experienced QA Engineer to support critical projects across Back Office, Middle Office and Regulatory Finance. You’ll be the centralised QA Engineer within the team, ensuring robust testing of data-heavy financial and risk systems. The team have a number of critical deadlines that need to be hit - you will play a crucial role in the automation of the … Responsibilities: Own and deliver QA testing across Back Office, Middle Office, and Finance functions. Support prudential regime and regulatory finance projects, ensuring accuracy and compliance. Perform detailed testing of data transformations, calculations, and aggregation processes. Build and manage test packs, moving from manual to automated regression testing over time. Collaborate with BAs, Developers, and Risk/Finance teams to … or risk functions, with exposure to regulatory or prudential regimes highly desirable. Comfortable working with large datasets, transformations, and calculations. Excellent attention to detail and ability to navigate complex data lineage and dependencies. Background in agile methodologies and test‐driven development (TDD/BDD). Why Join? Immediate, high-impact project work in a leading financial institution. Chance to More ❯
experienced QA Engineer to support critical projects across Back Office, Middle Office and Regulatory Finance. You’ll be the centralised QA Engineer within the team, ensuring robust testing of data-heavy financial and risk systems. The team have a number of critical deadlines that need to be hit - you will play a crucial role in the automation of the … Responsibilities: Own and deliver QA testing across Back Office, Middle Office, and Finance functions. Support prudential regime and regulatory finance projects, ensuring accuracy and compliance. Perform detailed testing of data transformations, calculations, and aggregation processes. Build and manage test packs, moving from manual to automated regression testing over time. Collaborate with BAs, Developers, and Risk/Finance teams to … or risk functions, with exposure to regulatory or prudential regimes highly desirable. Comfortable working with large datasets, transformations, and calculations. Excellent attention to detail and ability to navigate complex data lineage and dependencies. Background in agile methodologies and test‐driven development (TDD/BDD). Why Join? Immediate, high-impact project work in a leading financial institution. Chance to More ❯
