4 of 4 Data Validation Jobs in Warwickshire

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 ❯

Job Description 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 More ❯

SAP MDG Functional Consultant About NTT DATA Business Solutions: NTT DATA Business Solutions Group is part of the NTT DATA Corporate Group a top 10 global IT services provider, headquartered in Tokyo, operating in more than 50 countries. We combine a global reach with local intimacy to provide premier professional SAP services from deep industry expertise consulting … to applied innovations in digital, cloud, automation, and system development to business IT outsourcing. As a global SAP Platinum Partner, NTT DATA Business Solutions Group leverages its global expertise to deliver quality outcomes whether you are a multi-national or operate in a single country. With over 15,000 SAP experts across 31 countries, we have the capability and … more than 300 SAP S/4HANA clients. Our clients trust our deep experience and proven approaches - all around the world. Required Skills/Abilities: Expert in SAP master data/integration related experience Has participated in at least two large information transformation engagements Experience managing or executing data cleansing, data mapping, and data governance areas 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 ❯