1 to 25 of 159 Permanent Validation Jobs in Central London

technical stakeholders. Ability to mentor junior team members and promote data modelling best practices across delivery teams. Experience supporting testing activities, including data validation, reconciliation and data quality assurance. Strong analytical, problem-solving and stakeholder management skills. Desirable Technical Skills SQL Server, Oracle or PostgreSQL NoSQL databases such as MongoDB ...

. Support schema evolution, data quality and data integrity across distributed platforms. Integrate data platforms with relational and NoSQL databases. Develop automated testing and validation for platform services and data processing components. Implement and maintain CI/CD pipelines for data platform workloads. Use Infrastructure as Code to create repeatable ...

write clean, reliable and maintainable code that follows agreed engineering standards, while ensuring data outputs are accurate, complete and fit for purpose through robust validation and quality checks. You’ll investigate and resolve data issues and pipeline failures, escalating more complex challenges where appropriate, and contribute to the ongoing stability ...

business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing, validation, and quality assurance activities Proficiency with GitHub or equivalent version control platforms, including code reviews, testing frameworks, and CI/CD practices Demonstrated ability ...

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 ...

technologies. You dont need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. Youll have scope to develop that experience alongside your core Data Engineering work. Package and working arrangement ...

support models to meet service levels, internal standards, control obligations, and peak‐volume expectations. Establish monitoring, reporting, escalation, vendor oversight, health checks, observability, data validation, latency, capacity, release governance, readiness artifacts, and resiliency controls. Maintain engineering standards, capacity and resiliency planning, recovery playbooks, back‐out plans, readiness drills, support handoffs ...

flow requirements between D365 CE and adjacent systems for the integration and data architecture teams to design and build. Support data migration planning and validation alongside the Delivery Manager, working with data architects to define migration rules, cleansing strategies, and cutover acceptance criteria for all CRM workstreams. Be the primary ...

scalable integration solutions. You will lead technical aspects of data projects including: mapping data between different systems, creating and optimising ETL processes, implementing data validation rules, and developing custom integration solutions when needed. Additionally, you will establish best practices for data quality and maintain documentation for all integration processes. Technical ...

wants its engineers to become increasingly comfortable using AI as part of their work. That might mean using Copilot or another LLM for code validation, debugging, documentation or other practical development tasks. If youve done more than that, useful, but it isnt a requirement. Youll have the opportunity to develop ...

support business decision-making. Data Analysis: Analyse data from multiple sources to identify trends, risks, and opportunities, translating findings into actionable insights. Data Validation: Ensure data accuracy and reliability by validating reporting data and investigating discrepancies. Stakeholder Collaboration: Work with stakeholders to define reporting requirements and develop practical dashboards ...

journey orchestration and real-time decisioning. Provide structured datasets and semantic layers for dashboards and advanced analytics. Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance. Partner with analytics, MarTech, and marketing teams to align data solutions with business needs. Requirements Strong SQL skills and experience ...

track record of delivering across multiple concurrent projects or clients Familiarity with Azure data services and modern data platform components Experience with data validation and testing techniques Experience working with Data Vault and Kimball modelling approaches Programming or scripting experience would be an advantage You’ll thrive here if you... ...

derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance. Participate in software validation process through development, review, and/or execution of test plan/cases/scripts. Communicate with team members regarding projects, development, tools, and procedures. ...

modernise a business-critical booking platform using an incremental strangler-fig migration approach. Work on anti-corruption layers, two-way data synchronisation, staged cutovers, validation and zero-downtime release patterns. Build and maintain reliable CI/CD pipelines using Azure DevOps and GitHub Actions. Develop secure services within the Entra ...

Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles, standards ...

derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; Communicate with team members regarding projects, development, tools, and procedures ...

Client Success). Prepare and collate effort estimates to support solution proposals and client decision-making. Oversee data migrations, including mapping, cleansing, transformation, validation, and reconciliation of data between systems. Determine and provide regular reports and insights to leadership on project status and client success metrics. TOCAN CLIENT SOLUTIONS Process ...

/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability ...

monitoring content, and custom indicators. Identify and address detection gaps uncovered during incident investigations. Support purple-team exercises, penetration testing activities, and security control validation exercises. Transform findings into actionable improvements to CyberOne's detection and response capabilities. Client-Focused Incident Response Act as a trusted security advisor during cyber ...

Genpact is seeking a Sr. Engineer in Testing & Quality Assurance P to execute AI annotation and evaluation activities. You will validate AI outputs against predefined questions, create and review annotations, and test Databricks Genie responses ...

support the transition towards an AI-enabled testing and quality assurance function. The role combines hands‐on testing, test automation, risk assessment and validation of AI-generated test suites across critical enterprise applications. You will help maintain test coverage, ensure automated testing outputs are reliable and support the development ...

data accuracy checks. Validate ETL processes and data transformations. Verify data movement from source systems to reporting layers. Execute database and SQL-based validation tests. Identify data quality issues and perform root cause analysis. Create test strategies, test plans, test scenarios, and test cases. Execute functional, regression, integration ...

someone with: Strong Salesforce administration and configuration experience, including security, permissions, access and declarative automation. Hands-on experience building and troubleshooting Salesforce Flow, validation rules and other platform automation. Experience managing Salesforce environments, sandboxes, releases and deployments across development, testing and production. Strong troubleshooting skills across configuration, data, automation, permissions ...

leaders to understand challenges and translate opportunities into practical AI solutions. Take ownership of AI use cases from initial technical exploration through to feasibility validation, demonstration and handover for production development. Build innovative solutions using Microsoft Azure, AI technologies and modern software engineering practices. Design and implement integrations across multiple ...