76 to 100 of 3,524 Validation Jobs in England

technical liaison and strategic partner toplanning teams, client stakeholders, and cross-functional departments,translatingbusiness specifications into precise technical requirements for implementation. Design andenforce robust validation and auditingprocessesto ensure the highest levels of data integrity, consistency, and reliability across all platforms. Oversee the development and maintenance ofdata pipelines and data models ...

identify trends, patterns and key findings Build scalable, reliable and fit-for-purpose data models, datasets and reporting solutions Conduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities Support ...

At James Cropper, innovation runs through everything we do. As we continue our exciting ERP transformation journey, we're looking for a talented BI, Data & Integration Analyst to join our Information Services team on a ...

London, United Kingdom | Posted on 05/10/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively ...

Title: Business Intelligence Developer Location: Doncaster (1-2 days a week) Salary: Up to £60k DOE Contract: 6-month FTC Industry: Construction The Opportunity I'm currently working with a leading construction organisation that is ...

multiple sources to support business and operational objectives. Develop and maintain dashboards, reports and visualisations to communicate key performance metrics. Perform data quality assessments, validation and cleansing activities. Identify trends, patterns and opportunities through quantitative analysis. Work with stakeholders to define reporting requirements and business KPIs. Support data migration, transformation … databases. Experience using data visualisation tools such as Power BI, Tableau or Looker . Strong data analysis and reporting capability. Experience with data cleansing, validation and reconciliation. Ability to translate business requirements into meaningful analytical outputs. Strong stakeholder engagement and communication skills. Experience working within Agile delivery environments. Proficient ...

support reliable integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop tools for data-driven insights and task automation … supporting data solutions within OpenShift or Kubernetes environments. Experience using GitLab CI/CD to automate build, test and deployment activities. Understanding of data validation and assurance approaches, including quality controls and reconciliation. Understanding of metadata management, data lineage and traceability. Strong problem-solving skills and the ability to collaborate ...

test coverage, efficiency, and quality. Use AI tools to accelerate test design, test data preparation, defect analysis, automation development, and regression coverage. Perform hardware validation, compatibility testing, performance testing, stress testing, and failure diagnostics. Investigate defects using application logs, device logs, database evidence, network traces, and debugging tools; document clear … release‐readiness activities within an Agile delivery model. Maintain test assets, product documentation, troubleshooting guidance, and lessons learned. Support demonstrations, deployments, and product validation activities when required, including occasional travel. Qualifications ABOUT YOUR SKILLS Approximately 1 to 2 years of software testing, system testing, hardware validation, or a related engineering ...

maintaining robust test data strategies and test scenarios. Working closely with Data Engineering teams to embed quality throughout the development lifecycle. Performing data validation, reconciliation, and quality assurance activities across large datasets. Leading root-cause analysis and helping teams identify and resolve data quality issues. Mentoring and coaching QA Engineers … with the ability to interrogate, validate, and troubleshoot complex datasets. Experience building and implementing test automation frameworks. Strong understanding of data quality principles, data validation techniques, and testing methodologies. Experience working within cloud-based environments, ideally AWS. The ability to create meaningful test data and define complex testing scenarios. Strong ...

requirements through well-designed engineering approaches. Assessing data growth trends and recommend design improvements to support future scalability. Developing and improving automated deployment and validation approaches for data changes. Supporting integration of data change delivery within CI/CD pipelines Implementing automation to improve delivery quality, repeatability, and engineering productivity. … Supporting release planning by assessing the performance and data impact of proposed changes. Helping define validation criteria for data changes, integration flows, and performance-sensitive releases. Working with delivery teams to confirm that changes are engineered to meet performance and quality expectations. Contributing to post-release learning by identifying opportunities ...

data assets in Fabric and Databricks without repeatedly cleaning and reconciling source data. Analytical work identifies useful signals and viable opportunities, with transparent baselines, validation and limitations. Successful models and features move beyond notebooks into maintainable Fabric and Databricks pipelines, APIs or products. Essential Skills and Experience At least three … Delta and SQL transformations, and data-quality controls in Microsoft Fabric and Databricks. Strong grounding in exploratory data analysis, statistics, feature engineering, model selection, validation and error analysis. Practical experience with NLP, information extraction, entity resolution, embeddings or other techniques relevant to document-heavy and relationship-rich data. Good understanding ...

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 ...

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 ...

assurance client and internal project systems. The role supports delivery teams through exploratory, functional, API, integration and system-level testing, using technical investigation, data validation and appropriate automation to identify risk and provide confidence throughout the delivery lifecycle. What’s in it for you? You will be joining Daintta … employment Exposure to Waterfall or hybrid delivery methodologies. Experience supporting projects through both traditional and Agile delivery models. Experience contributing to release management, deployment validation, and production support activities. Complementary Experience: We are hiring multiple Technical Quality Assurance Engineers and do not expect candidates to have identical experience. Additional strength ...

Cucumber, and JavaScript. Participate in SIT and UAT phases while coordinating with distributed global teams. Act as the primary point of contact during release validation and sign-off activities. Identify, analyse, track, and support the resolution of defects throughout the software development lifecycle. Validate payment processing workflows including inbound ...

proactively resolving blockers and ensuring delivery remains on track Own project reporting, providing clear visibility of status, risks, issues, and key decisions Support solution validation, testing activities, user acceptance testing (UAT), and release readiness Ensure successful deployment and transition into business-as-usual operations Build strong relationships with customers ...

planning Data Engineering & Architecture Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve data models powering ...

backend systems, and end-to-end business processes. Experience testing RESTful APIs using Postman or similar tools. Good working knowledge of SQL for data validation, investigation, and verification. Experience using GitHub or other Git-based version control systems. Experience working with CI/CD pipelines and continuous testing practices. Understanding ...

OpenShift or equivalent). Familiarity with AWS S3 for large‐scale data storage and dataset movement patterns. Experience supporting Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice‐to‐Have Experience in regulated or enterprise data environments (banking, compliance). Exposure to data governance, lineage, controls frameworks ...

performance metrics for stakeholders. Present findings clearly using data visualisation tools such as Power BI or Tableau. Monitor and improve data quality, implementing validation and quality checks. Develop data models and analytical solutions to support business intelligence initiatives. Work with internal teams to understand their data needs and translate business ...

applications undergoing significant refactoring and migration. You will work directly with client teams and within a large IBM programme to ensure end‐to‐end validation throughout the migration lifecycle. This includes defining the test approach, producing high‐quality test artefacts, building full‐stack automation frameworks, and executing tests across ...

using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using Direct Lake, Import or DirectQuery as specified in the architectureWrite efficient ...

initiatives, contributing to data preparation, modelling and visualisation. Work with Data Engineering to ensure data is accurate, structured and available for reporting. Perform data validation and quality checks to ensure accuracy and consistency of outputs. Apply agreed BI standards, including data modelling, naming conventions and report design. Support the migration ...

transformations using PySpark, Spark SQL, SQL, and Python. Create and maintain curated datasets that support business intelligence, reporting, and analytics. Implement data quality, reconciliation, validation, and monitoring processes. Optimise data pipelines and workloads to improve performance, reliability, and cost efficiency. Support the development of reusable engineering frameworks, templates, and standards. ...

Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices. Perform detailed data analysis, validation and quality assurance across large financial datasets; investigate anomalies and identify root causes across data, code and methodology. Develop automation and AI-enabled tools ...