2 of 2 Data Validation Jobs in Leamington Spa

Data Scientist Initial 6 month contract (potential to extend) Hybrid working (2 days in Warwick office per week) Rate: Up to £500 per day via Umbrella Co. About the Role We are embarking on the development of a new system to manage our investment information in preparation for the upcoming regulatory period. This system will centralize and visualize critical … investment data, ensuring it is accurate, consistent, and actionable. As a Data Scientist, you will play a key role in the system’s setup phase—supporting data accuracy, validation, and integration. Working closely with PMO teams across the business, you will help update and verify investment data to enable meaningful insights through system visualizations. Key … Responsibilities Collaborate with PMO teams to organize and align data around key business processes. Support the development of data validation checks and quality control measures. Assist in shaping how data is modelled and structured in the new system for optimal visualization and usability. Provide technical expertise and insights to improve data reliability, traceability, and overall More ❯

Technologies At Tata Technologies, we make product development dreams a reality by designing, engineering, and validating the products of tomorrow for the world’s leading manufacturers. Job Opportunity: Azure Data Factory Engineer Due to our continued growth, we are recruiting an Azure Data Factory Engineer to be based at our site in Warwick. Key Accountabilities Pipeline Design and … Management: Creating, scheduling, and managing data pipelines using Azure Data Factory. Data Transformation: Converting raw data into structured datasets using data flows. Use of Azure Data Factory Activities: Utilizing activities like Stored procedures, IfElse, etc. Operational Support: Ensuring smooth operation of data pipelines and resolving issues. Data Integration: Working with APIs, connectors … and integration runtimes for seamless data flow. Data Validation: Performing checks and validating data transformations for accuracy. Documentation: Recording pipeline designs and operations for future reference. Collaboration: Working closely with development and operations teams to troubleshoot and ensure system reliability and availability. Knowledge and Experience Experience with Azure Data Factory connectors, especially SAP-specific ones More ❯