26 to 50 of 588 Validation Jobs in England

IT Systems Analyst: Provide day-to-day IT systems support under senior guidance as a Junior IT Systems Analyst . Assist with IT projects, including ERP migration, data cleansing, validation, and testing. Write, troubleshoot, and optimise basic SQL reports and analytics. Support system monitoring, escalate issues, and maintain uptime. Document procedures, workflows, and user guides for colleagues. Work with cross More ❯

supporting cross-functional teams to deliver change in complex environments Experience working in fast-paced, multi-stakeholder environments with competing priorities Desirable: Experience in manual exploratory testing for data validation and UI components Familiarity with cloud-based platforms (AWS, Snowflake) and their testing considerations Knowledge of CI/CD tooling (Jenkins, GitLab CI, or equivalent) and integration with test frameworks More ❯

Noise, Vibration, and Harshness) technologies at both system and subsystem levels. The ideal candidate will have an execution mindset taking ownership of test delivery and driving results through rigorous validation and problem-solving. Key Responsibilities: Plan and execute test programmes for infotainment systems, particularly those involving active NVH technologies. Ensure all testing is aligned with automotive quality standards and specifications. More ❯

accurate documentation, including process flows and specifications Supporting data analysis to provide insights and drive decisions Working closely with stakeholders, developers, testers, and project teams Assisting with testing and validation of new system changes Engaging in ongoing professional development and learning opportunities You’ll report to the Business Solutions Manager while also collaborating with other analysts across the team, contributing More ❯

move into product, with strong communication skills and ability to translate complex analytics into clear specifications. Nice to have Experience with a risk or pricing system, ideally including data validation or construction of Pricing Curves. Familiarity with risk reporting, market data, and risk methodologies. Hands-on UAT/test design and defect management (e.g., Jira/Confluence). Degree in More ❯

driving root-cause and fixes. Tools: Jira or Azure DevOps (Boards/Test Plans), Confluence, Postman/SoapUI, Git-based repos for test assets. Data & SQL: Competent SQL for validation/reconciliation; comfort with CSV extracts, views and basic ETL results checking. Mobile & web: Cross-browser/device testing; accessibility and usability awareness. Reporting: Clear, concise test progress/quality More ❯

driving root-cause and fixes. Tools: Jira or Azure DevOps (Boards/Test Plans), Confluence, Postman/SoapUI, Git-based repos for test assets. Data & SQL: Competent SQL for validation/reconciliation; comfort with CSV extracts, views and basic ETL results checking. Mobile & web: Cross-browser/device testing; accessibility and usability awareness. Reporting: Clear, concise test progress/quality More ❯

Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components. 3. Leadership & Collaboration: * Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best More ❯

and insights Support the development and maintenance of Business Intelligence (BI) dashboards and automated reports using tools such as Tableau, Power BI, or similar platforms Perform data cleansing and validation tasks to ensure the accuracy and reliability of datasets Collaborate with team members and stakeholders to understand data requirements and contribute to meaningful reporting solutions Support with the streamline of More ❯

Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components. 3. Leadership & Collaboration: * Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best More ❯

operations and supporting effective change management Identifying opportunities for process improvement and contributing to continuous service enhancement Supporting ITIL-aligned activities such as demand management, release planning, and service validation Assisting with initiatives relating to Information Security and governance where required You’ll be expected to bring both technical knowledge and a people-focused approach to stakeholder engagement, always aiming More ❯

and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy More ❯

Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design, build, and maintain dashboards (e.g., Power BI, Looker Studio, Excel or similar). Strong general technical ability; exposure to tools such as SSMS, Docker More ❯

Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design, build, and maintain dashboards (e.g., Power BI, Looker Studio, Excel or similar). Strong general technical ability; exposure to tools such as SSMS, Docker More ❯

electrical and communication interfaces (e.g., Ethernet, RS-232/485, CAN, I2C, SPI) for high-reliability operation. Lead hardware system integration and testing, including pressure testing, EMI/EMC validation, and underwater operational trials. Collaborate closely with software, mechanical, and systems engineers to ensure cohesive design and successful system-level integration. Generate and maintain comprehensive documentation including schematics, BOMs, test More ❯

Apply systems thinking to identify and mitigate technical risks, dependencies, and system interfaces . Analyse and interpret User Requirements Documents (URDs) , create and manage baselines . Define and execute validation and verification strategies for complex hardware/software systems. Collaborate within project teams to produce high-quality artefacts , from concepts to test readiness. Qualifications Skills & Experience Required: 8+ years in More ❯

connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for More ❯

ensure successful delivery of hardware products. Conduct feasibility studies and risk assessments for new hardware initiatives, ensuring compliance with industry standards and regulations. Hardware test plan creation, testing and validation of hardware and accessories, ensuring reliability and performance under various conditions that meet both customer requirements and validate supplier data sheets. Stay current with industry trends, emerging technologies, and best More ❯

technologies Work with a variety of data sources-structured, semi-structured, unstructured-to support diverse analytics and operational workloads Ensure data quality and consistency by incorporating automated testing, data validation, and monitoring mechanisms Drive best practices around data engineering, including testing, observability, security, and documentation Troubleshoot and resolve issues in production environments to ensure data integrity and platform reliability What More ❯

usage, ensuring consistency, accuracy, and compliance with design standards. Ensure all transmission design tools and processes comply with BT's security policies and standards. Ensure data integrity by implementing validation checks, maintaining consistent and reliable transmission planning data, resolving anomalies, and aligning with BT's data governance standards across all design tools and systems. Own the roadmap for transmission design More ❯

ensuring hardware optimal performance and reliability for our customers. Key Responsibilities: Support the product development process for any new or existing hardware development. Support hardware test plans, testing and validation of hardware and accessories, ensuring reliability and performance under various conditions that meet both customer requirements and validate supplier data sheets. Regularly monitoring and accurately recording test data for analysis More ❯

ensuring hardware optimal performance and reliability for our customers. Key Responsibilities: Support the product development process for any new or existing hardware development. Support hardware test plans, testing and validation of hardware and accessories, ensuring reliability and performance under various conditions that meet both customer requirements and validate supplier data sheets. Regularly monitoring and accurately recording test data for analysis More ❯

e.g. pytest), code reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work More ❯

e.g. pytest), code reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work More ❯

e.g. pytest), code reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work More ❯