176 to 200 of 3,772 Validation Jobs in England

support them. Internally, this means applying AI and automation to accelerate defect diagnosis, root cause analysis, regression testing, and release validation, and building the reusable accelerators, intelligent agents, knowledge assets, and automation frameworks that improve consistency and productivity across client engagements. Client facing, it means identifying and developing opportunities … Package changes safely using DBC scripting and Migration Manager, producing deployment documentation and release notes, using approved AI-enabled tools to accelerate documentation and validation while maintaining appropriate technical review Plan and lead deployment windows, which may occasionally fall outside standard working hours Maintain environment integrity and configuration consistency across ...

driven workflows Work with the Palantir Foundry team to enable as the primary integration platform Build and maintain data transformation logic, field mappings, and validation rules Design error handling, retry logic, and monitoring for production integrations Architect and support integrations with upstream and downstream systems. Maintain data consistency across entities … with target state architecture Data Quality & Governance Ensure data consistency across systems - single source of truth for users, customers, contracts, financial data Build data validation and quality checks into integration pipelines Identify and resolve data sync issues, duplicate records, and mapping errors Work with business owners to define data ownership ...

will work closely with hardware, product, optical, electrical, and software engineering teams to develop reliable and scalable automated test solutions that support product development, validation, manufacturing, and characterisation activities. This is a hands‐on technical role requiring good software engineering skills, use of automated test and measurement equipment … measurement systems role. Strong software development experience using C# and .NET. Good understanding of physics or electronics. - differentiator Experience with software debugging, verification, validation, and troubleshooting. Experience using source control systems such as Git. Knowledge of software development lifecycle processes and modern development methodologies. Ability to solve complex real‐world ...

Develop and optimise data models that support scalable and efficient data storage, processing, and retrieval within Google Cloud and Microsoft Azure platforms. Data Quality & Validation Implement data validation and cleansing processes to ensure data accuracy and reliability before it's used in downstream systems and collaborate with IT on upstream ...

empower decision-makers. In this role, you will also help pioneer internal workflow automation by experimenting with modern AI-driven tools to streamline data validation and analysis. Key Responsibilities Monitor and safeguard data integrity: Track data quality KPIs across multiple systems to detect inconsistencies, anomalies, and gaps, escalating critical issues … Utilize SQL and BI software to investigate datasets, discover underlying patterns, and resolve complex data quality challenges. Drive process automation & AI integration: Streamline data validation workflows by leveraging automation tools, prompt engineering, and modern AI techniques. Collaborate cross-functionally: Partner closely with Data Operations, Business Unit Engineers, Data Engineers ...

target cloud platforms. Develop and optimise SAS data flows, ETL processes, and migration scripts to support successful cloud migration activities. Execute data migration, validation, reconciliation, and cleansing activities to ensure data accuracy and integrity. Support testing, defect resolution, troubleshooting, and technical documentation throughout the migration lifecycle. Collaborate with SMEs, architects … Without Strong experience in SAS engineering , development, and administration. Proven expertise in ETL development , data integration, and data pipeline implementation. Experience with data migration, validation, reconciliation, and data quality processes . Scripting experience and the ability to automate migration and transformation activities. Experience working with cloud-based data platforms ...

processes on target cloud platforms. Implement and maintain source-to-target mappings to support migration and integration activities. Execute data migration, cleansing, reconciliation, and validation activities to ensure data accuracy and integrity. Support testing, defect resolution, troubleshooting, and remediation activities throughout programme delivery. Produce and maintain technical documentation, migration artefacts … Proven expertise in ETL development, data integration, and workflow design . Experience creating and maintaining source-to-target mappings . Knowledge of data migration, validation, reconciliation, and data quality processes . Strong scripting and problem-solving skills with the ability to troubleshoot complex data integration challenges. Skills We'd Like ...

processes on target cloud platforms. Implement and maintain source-to-target mappings to support migration and integration activities. Execute data migration, cleansing, reconciliation, and validation activities to ensure data accuracy and integrity. Support testing, defect resolution, troubleshooting, and remediation activities throughout programme delivery. Produce and maintain technical documentation, migration artefacts … Proven expertise in ETL development, data integration, and workflow design . Experience creating and maintaining source-to-target mappings . Knowledge of data migration, validation, reconciliation, and data quality processes . Strong scripting and problem-solving skills with the ability to troubleshoot complex data integration challenges. Skills We'd Like ...

Python or a similar programming language Data engineering or data integration experience Understanding of data modelling and ETL/ELT concepts Experience implementing data validation and testing processes Strong communication and stakeholder engagement skills Desirable Skills Azure Data Factory Databricks Synapse Analytics Microsoft Fabric Azure SQL Data Lake technologies Experience ...

insurance-specific sources (policy systems, claims databases, and market research) using AWS Redshift and ETL tools. Ensure data quality and integrity through data cleansing, validation, and standardization. Enterprise Analytical Data Products: Design and develop curated analytical datasets and data products that support enterprise reporting, self-service analytics, and AI consumption. … practice from static report production toward AI-augmented insight, such as automated anomaly detection, forecasting, and plain-language explanation of results. Enforce review and validation standards for AI-assisted development and AI-generated insights so that outputs remain accurate, explainable, and auditable. Strategic Initiatives: Participate in cross-functional projects ...

revenue, bookings, and churn, ensuring a single source of truth across the company. You will also take ownership of data quality through automated testing, validation, and monitoring across the data lifecycle. You will explore and leverage AI-powered tools to improve development workflows, automate repetitive tasks, and enhance data engineering … cloud-based solutions such as Amazon Redshift, Snowflake, or BigQuery. Data Quality & Reliability: You have a strong understanding of data quality principles, automated testing, validation, and monitoring, with a proactive approach to identifying and resolving issues. Business Understanding: You can translate business requirements into reliable data models and clearly defined ...

quality, privacy and security requirements into business requirements and documentation. Support Quality and CSV teams with requirements traceability, testing, User Acceptance Testing coordination, validation documentation and audit readiness. Support business case development, benefits assessments, business process impact analysis and scope definition. Contribute to the continuous improvement of business analysis practices … Agile, Waterfall or hybrid delivery methodologies. Exposure to SaaS platforms, integrations, analytics, reporting or data‐driven solutions. Understanding of User Acceptance Testing and business validation activities. Working knowledge of GxP/CSV principles and regulated environments is desirable. Strong communication, documentation, analytical and problem‐solving skills. Ability to manage multiple ...

database solutions within a large-scale production environment Design and build PL/pgSQL stored procedures, functions, triggers and views Implement data transformation and validation logic within PostgreSQL Write and optimise complex SQL queries for large datasetst> Troubleshoot performance issues and perform query optimisation Review schemas and recommend improvements ...

configuration ( Preferred): Practical knowledge of core Salesforce declarative capabilities (Sales Cloud, Service Cloud, or Experience Cloud), including Flow Builder, Lightning App Builder, custom objects, validation rules, and security/sharing models. Familiarity with SOQL (Salesforce Object Query Language) and data utility tools (e.g., Salesforce Data Loader, Workbench, Salesforce Inspector … data validation and schema inspection. Ability to construct complex native Salesforce reports, dashboards, and custom report types. Exposure to Salesforce Application Lifecycle Management (ALM) workflows and deployment tools (e.g., Gearset, Copado, or change sets). Certifications ( Preferred): Salesforce Certified Business Analyst, Salesforce Certified Administrator, IIBA CBAP, CSM, and/ ...

reviews, CI/CD, testing standards and knowledge sharing. Essential Skills & Experience Test automation experience in data, ETL or data warehousing environments. Strong data validation skills, SQL proficiency and relational database experience, such as Oracle. Hands-on Python and pytest, plus BDD (Behave ) and/or TDD experience. Understanding ...

analytical tools, spreadsheets, dashboards or data visualisation platforms. Ability to turn business goals and user needs into measurable indicators. Good understanding of data quality, validation and basic statistical or analytical techniques. Clear communication skills, including the ability to present findings in a simple and actionable way. Awareness of data privacy ...

reporting standards, systems, and processes. Key Responsibilities Develop and manage an annual Business Intelligence workplan, ensuring reporting services meet business requirements. Oversee the production, validation, quality assurance, and governance of management information and performance reporting. Lead the design, maintenance, and continual improvement of reporting solutions, dashboards, and analytics tools. Manage ...

delivery of best-in-class reporting and visualisation solutions using Looker or similar BI tools. Manage client data integrations, ensuring correct platform access, validation and documentation throughout delivery. Configure and work with APIs to integrate multiple marketing and business data sources. Collaborate with internal teams, external partners and clients ...

knowledge of programming languages like Python or R for data analysis. Understanding of data warehousing concepts and ETL processes. Experience with data quality and validation techniques. Strong analytical and problem-solving skills. Excellent attention to detail and accuracy in data handling. Good communication skills for presenting findings to stakeholders. Ability ...

experience Hands-on expertise with Apex and Lightning Web Components (LWC) Experience delivering Salesforce integrations Strong understanding of declarative Salesforce tools including Flows and Validation Rules Excellent problem-solving and analytical skills Strong stakeholder management and communication skills Experience working within Agile delivery environments Desirable Experience within Financial Services, Wealth ...

designing schemas and building data models that reflect real-world business logic Familiarity with DBT or similar data transformation frameworks Strong understanding of data validation, testing and quality assurance practices Manages all infrastructure through IaC tooling (Pulumi, AWS CDK), treating the database as code Grasps new business domains quickly, translating ...

Excel to support business intelligence outputs. Use SQL to query , analyse and understand relational datasets, including navigating database schemas and relationships. Support data validation and quality assurance processes to ensure the reliability and integrity of reporting outputs. Communicate analytical findings and insights to clients in a clear and concise manner. ...

inventory, transport, customer service, labour productivity, costs, budgets and financial performance. Ensure reporting information is accurate, relevant and aligned with business requirements. Own the validation, modelling and management of data used within reporting solutions. Ensure data accuracy, consistency and adherence to reporting standards across multiple business systems. Identify and deliver ...

pipelines Implementing test automation within cloud environments such as Azure, AWS or GCP, including containerized deployments using Docker and Kubernetes Contributing to data quality validation for data pipelines and ensuring compliance with quality standards Documenting test strategies, test cases and automation frameworks to support team knowledge sharing Supporting the maintenance ...

time data consumption Working with microservices and distributed systems to ensure data flows reliably across the organisation Taking responsibility for data quality frameworks and validation approaches across pipelines Collaborating with engineering and analytics teams to align data architecture with business needs Building and documenting data models using tools such ...