126 to 150 of 4,266 Validation Jobs in the UK

objects. Produce object-level and field-level mapping documents between source and target orgs, covering data types, picklist values, record types, required fields, and validation rules. Design and maintain SQL Server staging databases and schemas to extract, cleanse, transform, and stage Salesforce data ahead of loading. Write, optimise, and test … Plan and run multiple migration cycles (development, test/UAT, and production dress rehearsals) and execute the production cutover. Design and run reconciliation and validation checks (record counts, field-level comparisons, sampling) and produce sign-off evidence for business stakeholders. Work with Salesforce administrators, developers, business analysts, and data owners ...

Stories, with clear acceptance criteria and traceability. Define and validate data requirements, including business definitions, ownership, attributes, source-to-target mappings, transformation rules and validation criteria. Support data profiling and identify data quality, completeness, reconciliation and exception-handling requirements. Work with Data Architects, Data Leads, Engineers and QA teams … these into clear data requirements and testable outcomes. Hands-on experience with data flows, source and target analysis, field-level mapping, transformation rules, data validation, profiling or data quality. Experience supporting areas such as data migration, reconciliation, MDM, provisioning, integration, analytics or reporting. Experience working with Product, Architecture, Engineering ...

reliable delivery by identifying technical risks, dependencies, and constraints early, and guiding teams to pragmatic, timely solutions. 5. Data Quality, Trust & Governance Applies agreed validation and quality approaches and escalates data trust or security concerns through established governance routes. 6. Coaching & Capability Development Supports BI Engineers and Junior Engineers, sharing … designing dimensional data models, applying Kimball methodologies, and creating reusable semantic layers. Strong SQL expertise, including writing and reviewing complex queries for data extraction, validation, and transformation. Proven experience ensuring data quality, trust, and governance, including validation approaches, testing strategies, and peer review. Experience acting as technical lead or design ...

management reporting remains accurate, reproducible and timely. Lead data and reporting migration from NetSuite and other business systems to Oracle Fusion, coordinating mapping, cleansing, validation, reconciliation and stakeholder sign-off. Establish common definitions for key performance indicators and business measures, with Finance and operational owners approving the relevant rules … improving data quality, establishing consistent definitions and applying data governance in partnership with business owners. Experience of data migration, system change or integration, including validation, reconciliation and business acceptance. Technical fluency in data querying, modelling and validation, using SQL or equivalent tools, with the ability to assess technical proposals ...

technologies such as .NET, ASP.NET, Java, Spring Boot, Azure, AWS, Kubernetes and Docker. You could contribute to CI/CD pipeline automation, data quality validation and test coverage across cloud-native and on-premise environments. Typical role overview Location: Manchester, Greater Manchester, England - on-site Type: Contract • Full-time Rate … similar) to integrate and run tests automatically Collaborating with development and QA teams to define test strategies and acceptance criteria Contributing to data quality validation and test coverage across cloud platforms (Azure, AWS, GCP) Supporting the team with containerised testing environments using Docker and Kubernetes Troubleshooting test failures and providing ...

migration of data from the existing Data Warehouse environment into a new Data Lake platform. The postholder will be responsible for data extraction, cleansing, validation, analysis and reporting, ensuring the integrity, quality and accuracy of information throughout the migration process. Working closely with Digital Services, HR Services and wider stakeholders … across the organisation. Contribute to improving data quality standards, governance and reporting processes. Support ETL and data integration processes where required. Assist with testing, validation and reconciliation activities associated with data migration projects. Work collaboratively with HR, Digital Services and operational teams to ensure reporting requirements are met. Provide technical ...

management for program delivery, partner with engineering to define and maintain pipelines from code commit through build, test, security scanning, deployment, and post-deploy validation; ensure release automation, environment promotion controls, rollback procedures, and deployment metrics are in place. Uses enterprise-authorized AI capabilities within the work environment to accelerate … programs in a large organization Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling ...

client engagement, sales performance, and behavioral trends. Collaborate with stakeholders to gather requirements and translate business needs into technical solutions. Ensure data quality through validation, reconciliation, and transformation of structured and unstructured data. Document processes and create user-friendly guides for automated tools and reports. Mentor junior analysts and contribute … full scope of a problem and develop scalable, maintainable solutions. Focus on best practices, code efficiency, and pipeline optimization. Experience indata quality assurance, validation, and reconciliation. Ability to work withunstructured or semi-structured dataand transform it into usable formats. Experience analyzingclient behavioral data, including segmentation, engagement metrics, and conversion analysis. ...

integration and customization skills, and the ability to lead complex client engagements and transformation programs. Your role You will anchor the engagement from requirements validation and solution design through technical design, development, testing, deployment, and stabilization. You will guide project teams on processes and deliverables, advise on architecture and design … such as Job Scheduler, Element Manager, Data Sync, External Objects, and analytics where relevant. Lead troubleshooting, root-cause analysis, performance tuning, code reviews, release validation, and production stabilization. Implementation and Delivery Leadership Lead full lifecycle deliveries from requirements and solution design through configuration, development, SIT, UAT, cutover, go-live ...

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 strong software engineering skills, practical experience with test and measurement equipment … Real‐time oscilloscopes Optical spectrum analysers Signal generators Network analysers Good understanding of automated test systems and measurement methodologies. 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 ...

working with teams to address them. Carry out routine data quality work (e.g. patient demographics, contact details, workflow and tasks). Support APEX data validation and other regular data quality processes. Respond to data queries (e.g. record validation, pop-ups, missing indicators). Systems & Configuration Develop and support SystmOne configuration ...

contractual terms and source data. Maintain traceability from contractual charging rules and source records through calculations and reconciliations to individual invoice lines, enabling independent validation and audit. Investigate billing discrepancies, analyse variances, manage adjustments and credits, and resolve queries with clear supporting evidence. Maintain the billing calendar, coordinate data submissions … validate data through reports, queries, filters or equivalent reporting capabilities. Advanced Spreadsheet Skills: Strong Microsoft Excel skills, including complex formulae, lookups, pivot tables, data validation, reconciliation and workbook management. Data Quality & Reconciliation: Ability to identify discrepancies, validate data across multiple sources, investigate anomalies and maintain data integrity. Governance & Attention ...

products, price books and contract terms onto Veremark's pricing, flagging anything that looks off. Support Finance with billing reconciliation through cut-over. Data, validation and reporting Profile the acquired platform's data with SQL: volumes, usage by client, active vs. dormant accounts, data quality. Help build field-level mappings … between the two data models, and test migrated data against them. Run the validation and reconciliation queries on each client cohort, and log and chase data issues. Maintain the migration dashboard and prepare data for PMO reporting. Use AI tools to speed up the work: summarising legacy docs, drafting mappings ...

more of their time on the science Build reproducibility and quality in ‘by design’: versioned data, code and environments, and introducing clear lineage and validation checks in every pipeline so issues are caught early and analyses run on trusted data Develop shared tooling, templates and libraries that standardise how analyses … stack e.g. pandas, NumPy, pandera and pytest Experience building and maintaining production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including ...

more of their time on the science Build reproducibility and quality in ‘by design’: versioned data, code and environments, and introducing clear lineage and validation checks in every pipeline so issues are caught early and analyses run on trusted data Develop shared tooling, templates and libraries that standardise how analyses … stack e.g. pandas, NumPy, pandera and pytest Experience building and maintaining production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including ...

integration flow. Handle schema changes, late-arriving data, retries, reconciliation and error handling as normal engineering concerns. Data quality, modelling and reporting Build validation and reconciliation into pipelines so problems are identified early and traced back to source. Investigate data-quality issues and work with system owners to fix root … definitions, lineage, ownership and transformation logic. Use Git, peer review and CI/CD for database and data-platform changes wherever practical. Automate deployment, validation and monitoring rather than relying on manual scripts and undocumented steps. Apply appropriate security, access, retention and privacy controls to healthcare and business data. Support ...

Quality Assurance Utilize core technical knowledge to build and test functional code modules, contributing to reliable and scalable service delivery components. Participate in system validation, regression testing, and quality assurance processes to ensure robust deployment for immediate projects. Support installation engineering and technical validation activities, following established protocols and escalating ...

bring together internal data and relevant external information, identify emerging issues and reduce manual effort. The focus is on practical application, with robust validation, traceability and human oversight. This is an opportunity to combine risk expertise, analytical problem‐solving and emerging AI capabilities to help shape how a growing fintech … compliance (GRC) solution, partnering with Risk, Data and Technology colleagues on implementation. Improve data quality and governance: Document data sources, definitions, lineage, refresh frequencies, validation checks and limitations to ensure reporting is consistent, explainable and reliable. Drive continuous improvement: Identify opportunities to simplify reporting, improve analytical processes and strengthen ...

operation and monitoring of data pipelines, ensuring they are reliable, performant and meet agreed service levels. Define and embed a data quality framework covering validation rules, reconciliation, quality measures, issue management, and root cause analysis. Ensure solutions meet data protection, security and audit requirements, working with architecture, information security … Quality Experience overseeing ETL/ELT pipeline design and operation, including CDC, orchestration, monitoring and alerting. Establishing data quality controls and measures, such as validation rules, reconciliation, profiling, exception handling and data quality reporting. Data governance knowledge, including data lineage, ownership, access control, auditability and UK GDPR obligations. Experience ...

Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps Execution: Apply cloud-native services, secure deployment patterns, observability, lifecycle management, and MLOps practices …/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance monitoring. Excellent communication and collaboration skills, with the ability to engage technical and non‐technical stakeholders, lead cross‐functional delivery, and enable ...

Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps Execution: Apply cloud-native services, secure deployment patterns, observability, lifecycle management, and MLOps practices …/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance monitoring. Excellent communication and collaboration skills, with the ability to engage technical and non-technical stakeholders, lead cross-functional delivery, and enable ...

functionality embedded within T3, SPDJI’s core equity index calculation platform. T3 supports key parts of the index lifecycle, including corporate actions, data capture, validation, transformation, and rebalance implementation. The team is evolving its platforms to improve automation, simplify legacy processes, and align with the broader Data Platforms strategy where … environment. Strong understanding of index products, index calculation workflows, and operational processes. Experience working with data‐heavy platforms, workflows, or systems where data ingestion, validation, transformation, and quality are important to business outcomes. Comfortable engaging in technical discussions and translating complex requirements into clear, actionable delivery items. Experience managing backlogs ...

Developing integration solutions in Azure, using services such as Azure Data Factory, Synapse, Logic Apps, Functions and Service Bus Carrying out data mapping, cleansing, validation and migration into the Dataverse data model Making sure solutions meet public sector standards for data quality, security and governance Leading delivery workstreams, mentoring other ...

background with a real interest in moving into testing Working SQL and the ability to query relational databases Some Python (or R) for data validation or test automation Hands-on use of AI tools such as ChatGPT or LLM-based coding assistants, and the judgement to check what they produce ...

JMeter for performance and load testing. JavaScript/TypeScript are also in use. C#/JavaScript Test automation frameworks Postman SQL and data validation REST APIs Azure-hosted applications and services Gherkin/BDD Event-driven architectures CI/CD pipelines Preferred experience Insurance, financial services, fintech or other complex ...