1 to 25 of 273 Validation Jobs in London

warehousing concepts Experience gathering and documenting complex business and technical requirements. Strong stakeholder management and workshop facilitation skills. Experience supporting testing, UAT, and data validation activities. Excellent communication and documentation skills. Desirable Skills SQL and data analysis experience. Exposure to actuarial, underwriting, or risk data. Experience with Azure Data Platform ...

cases by preparing structured and semi-structured data for retrieval, grounding, metadata enrichment and agent workflows. Implement data quality checks, validation rules, lineage, documentation and governance controls. Work with Microsoft Purview, Entra ID, RBAC and security best practice to ensure data is handled securely and appropriately. Help create reusable patterns ...

Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery ...

Products, and CTB initiatives across MiFID II/MiFIR, EMIR, SFTR . Collaborate with Product Analysts, Compliance, IT, and business teams. Perform data analysis, validation, root-cause investigation , and back-reporting checks. Maintain and update test scenarios and regression packs (XRAY, Jira, Confluence). Ensure adherence to Agile delivery ...

Create and maintain dashboards, visualisations, and reports using Power BI to enable data-driven decision-making. Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years experience in data analytics, data engineering, software engineering, or a similar role. Expertise in developing ...

enhancements and monthly updates . Role Responsibilities 1. Prudential Testing Lead testing for prudential reporting and back-reporting (incl. CTB change). Perform data validation, analysis, root-cause investigation . Collaborate with Product, Compliance, IT, and business teams. Maintain test scenarios & regression packs (XRAY, Jira, Confluence). Ensure Agile delivery ...

platform. You will design test strategies, validate AI models, and build automated quality gates within complex cloud and data pipelines. Key Responsibilities AI & RAG Validation: Define evaluation frameworks to validate GPT responses, summarisation accuracy, and RAG performance. Automation & CI/CD: Build and maintain automated test frameworks integrated into Azure ...

cloud platforms, monitoring tools, and asset repositories. Support the development and execution of the Configuration Management and Discovery roadmap. Participate in platform upgrades, testing, validation, and release activities. Develop, maintain, and enforce governance processes, policies, and standards related to Configuration Management and Discovery. Lead or contribute to projects by developing ...

significantly contribute to cross‐functional projects. Productionize LLMs: Build evaluation framework for open‐source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‐correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook ...

Excel skills. Experience working with large and complex datasets. Knowledge of data modelling, data cleansing, and data enrichment techniques. Understanding of data quality assurance, validation, and governance principles. Experience managing multiple priorities and delivering projects to deadlines. Strong stakeholder management, communication, and organisational skills. Previous experience mentoring, coaching, or leading ...

insights Improve data quality and consistency across systems Build automated reporting, dashboards and data pipelines Turn recurring analysis into reusable components and templates Apply validation and quality checks to ensure accuracy Key Skills & Experience Strong SQL and Python experience Experience working with cloud-based data platforms (e.g. Snowflake, Azure ...

applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience ...

scalable, reusable data pipeline templates across multiple data domains Standardise ingestion and transformation using configuration-driven frameworks Embed data quality checks by default (schema validation, completeness, freshness, thresholds, alerting) Improve pipeline resilience, monitoring, observability and recovery mechanisms Integrate AI/ML capabilities where appropriate (e.g. anomaly detection, intelligent monitoring) Support ...

multiple projects and deliver under time pressure Experience communicating insights to both technical and non-technical audiences Knowledge of data modelling, data quality, and validation approaches Confidence mentoring or supporting junior team members Exposure to dashboarding tools or other programming languages is beneficial What They Offer Salary ...

process maps, use cases, SOPs and operational procedures. Analyse current PAM operations, workloads, pain points and automation opportunities. Define acceptance criteria and support testing, validation and business sign-off. Support business case development, including benefits, KPIs and success measures. Facilitate workshops with business, security, infrastructure and operational stakeholders. Support operational ...

first-class part of your workflow rather than a novelty. Responsibilities Author, run, and maintain test plans across all phases of client deployments — schema validation, referential integrity, row volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes ...

analysis, scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with ...

analysis, scenario studies, and clear articulation of trade-offs. Lead development of ML/AI solutions end-to-end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with ...

Road Mapping: Facilitate and oversee the planning and maintaining of the Global Engineering team’s three year plan, updated annually. Quality Assurance: Implement validation and review procedures ensuring data accuracy and report quality before executive presentation. Meeting & Project Management: Facilitate leadership meetings with productive agendas; track action items with systematic ...

large advertising and performance datasets using SQL Investigate data quality issues and reporting discrepancies Translate stakeholder requirements into meaningful insights and visualisations Support testing, validation and continuous improvement of reporting products Create documentation for reports, data sources and business logic What We're Looking For: Advanced SQL skills, with strong ...

standards Experience Required Strong experience with Python (or similar) Advanced Excel skills Experience in data modelling, cleansing and enrichment Understanding of data quality and validation Proven experience working on complex data or analytics projects Experience handling large datasets Strong organisational skills and attention to detail Ability to manage multiple workstreams ...

Strong experience using Python for data analysis Advanced Excel and confidence working with large, complex datasets Solid understanding of data modelling, data cleansing, and validation techniques Experience delivering analytics projects in a commercial or client-focused setting Ability to manage multiple projects and priorities effectively Strong communication skills, with ...

processing and analysis. Optimise ETL processes, queries, and database performance to ensure scalability, stability, and efficient handling of growing data volumes. Conduct testing and validation activities to ensure data accuracy, performance, and successful integration across systems. Identify, troubleshoot, and resolve data quality, transformation, and integration issues. Maintain comprehensive technical documentation ...

device types and operating systems. Conduct non-functional testing including: Performance and load testing Scalability and resilience testing Business continuity and failover/DR validation Security-focused testing activities Identify, document, and track defects through to resolution. Produce clear and concise test reports and communicate findings effectively to stakeholders. Collaborate ...

dashboards are actually consumed Storytelling—able to explain what a number means, not just how it was calculated Strong attention to detail and validation rigour Collaborative approach with data engineering, analytics and product peers Comfortable learning new tools, datasets and business domains Domain Flexibility: Roles span commercial, customer, product, finance ...