1 to 25 of 4,071 Validation Jobs in the UK

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 ...

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 ...

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 ...

field. Experience, Skills and Competencies Hands-on experience with Data Visualisation tools including PowerBI, Tableau and Excel Dashboarding (mandatory). Strong expertise in Data Validation, Cleansing, Remediation and Transformation to ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation ...

operating complex data platforms, pipelines and analytical data models at scale.You will understand the complete data lifecyclefrom ingestion and orchestration through transformation, modelling, validation, deployment, monitoring and optimisationand be able to determine the appropriate engineering approach for complex analytical requirements. You will combine engineering expertise with strategic and analytical judgement. … based version control, CI/CD, deployment pipelines, monitoring, documentation, change control and Infrastructure as Code. Engineer for reliability, resilience and data quality establish validation, reconciliation, exception handling, recovery, backfill, monitoring and audit processes so analytical teams can confidently rely on the data they receive. Optimise Microsoft Fabric, Snowflake ...

data requirements and translate them into scalable technical solutions. Data Migration & System Implementation Support system implementation and data migration projects through data mapping, transformation, validation and reconciliation activity. Work with business stakeholders and third-party suppliers to understand source and target system requirements. Identify and help resolve data quality issues … that may impact migration activity or reporting outcomes. Help with repeatable migration processes, templates and validation approaches for future implementation activity. Support and maintain existing migration solutions developed using SQL Server Integration Services (SSIS), and be comfortable with working with and enhancing established migration processes where appropriate. Assist ...

database dependencies, integrations, data flows and migration constraints. Plan and deliver SQL Server and Azure SQL migrations, including schema and data migration. Perform data validation and reconciliation to ensure successful migration outcomes. Troubleshoot and optimise database performance, availability and reliability. Support database stabilisation, remediation and post‐migration improvements. Provide database ...

database dependencies, integrations, data flows and migration constraints. Plan and deliver SQL Server and Azure SQL migrations, including schema and data migration. Perform data validation and reconciliation to ensure successful migration outcomes. Troubleshoot and optimise database performance, availability and reliability. Support database stabilisation, remediation and post-migration improvements. Provide database ...

under pressure and meet deadlines. Excellent communication skills with the ability to explain complex analytics to non-technical stakeholders. Strong knowledge of Data Transformation, Validation and Remediation processes. Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred. Job Info Job Identification 114411 Job Category - Degree ...

data governance model. Experience implementing and advocating for test‐driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Deep understanding ...

Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs. Support the migration and re-platforming of legacy SQL Server data warehouse ...

automation Identify high‐value use cases for machine learning, generative AI, computer vision, natural language processing, optimisation and robotic process automation. Lead the design, validation, deployment and monitoring of models such as propensity, customer segmentation, forecasting, similarity and recommendation, pricing, risk, RFV and sentiment analysis. Develop and govern LLM‐enabled ...

Data Cleansing Lead enterprise data quality improvement initiatives. Assess existing data sources and identify quality issues, duplicates, inconsistencies, and gaps. Develop data cleansing standards, validation rules, and remediation processes. Manage Master Data Management (MDM) activities for key business entities including Customers, Suppliers, Products, Bill of Material (BoM), Engineering Parts, Inventory … Data Migration & Transformation Lead data migration workstreams for enterprise technology implementations. Define migration strategies, methodologies, and governance controls. Perform data discovery, profiling, mapping, transformation, validation, and reconciliation activities. Oversee migration of data into: Product Lifecycle Management (PLM) systems Enterprise Resource Planning (ERP) systems Engineering repositories Manufacturing systems Other ...

working with large‐scale health, research, public sector or similarly complex datasets. Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques. Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches. Experience planning and delivering complex data engineering or integration … engineering solutions using SQL, Python and relevant modern data engineering tools and technologies. Experience of data modelling, data quality assurance, metadata management and data validation techniques. Experience working with complex NHS datasets, data standards, coding systems and healthcare information flows. Understanding of information governance, cyber security, data protection ...

working with large-scale health, research, public sector or similarly complex datasets. Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques. Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches. Experience planning and delivering complex data engineering or integration … engineering solutions using SQL, Python and relevant modern data engineering tools and technologies. Experience of data modelling, data quality assurance, metadata management and data validation techniques. Experience working with complex NHS datasets, data standards, coding systems and healthcare information flows. Understanding of information governance, cyber security, data protection ...

timely data availability (batch and near real‐time) to support both operational reporting and advanced analytics. Assure data quality and integrity through automated validation, monitoring, and issue management across the full data lifecycle. Own platform reliability, performance, and cost management, including capacity planning and optimisation of storage/compute. Establish ...

both waterfall and agile delivery models. Proficient in SQL and comfortable querying relational databases. Working knowledge of at least one scripting language for data validation or test automation (Python preferred; R also valuable). Hands-on Experience with cloud platforms Familiarity with modern AI approaches to testing Strong analytical ...

solutions using Salesforce Sales Cloud, Service Cloud, Revenue Cloud, and Salesforce Data Cloud. Configure and customise Salesforce using Apex, Lightning Web Components (LWC), Flows, Validation Rules, Process Automation, and Custom Metadata. Develop scalable integrations between Salesforce and other platforms but not limited to, Informatica, ERP systems, MDM platforms, external applications ...

appropriate for a UK and Ireland financial services environment Analysing data flows, data dependencies and reporting impacts across business systems, supporting data migration, reconciliation, validation and data quality improvement activities Identifying operational risks, control gaps and manual workarounds within current processes, and work with stakeholders to design improved processes with ...

appropriate for a UK and Ireland financial services environment Analysing data flows, data dependencies and reporting impacts across business systems, supporting data migration, reconciliation, validation and data quality improvement activities Identifying operational risks, control gaps and manual workarounds within current processes, and work with stakeholders to design improved processes with ...

appropriate for a UK and Ireland financial services environment Analysing data flows, data dependencies and reporting impacts across business systems, supporting data migration, reconciliation, validation and data quality improvement activities Identifying operational risks, control gaps and manual workarounds within current processes, and work with stakeholders to design improved processes with ...

Cleansing Assess data quality and identify inconsistencies, duplicates and missing data. Define and implement data cleansing and remediation activities. Establish data quality controls and validation rules. Migration Preparation & Execution Design and build migration pipelines and processes. Execute trial migrations, production migrations and cutover activities. Monitor migration execution and resolve data … related issues. Maintain appropriate migration documentation and audit evidence. Validation & Reconciliation Define and execute data validation and reconciliation processes. Confirm the completeness and accuracy of migrated data. Investigate and resolve data discrepancies. Produce migration reports and evidence of successful migration. Skills & Experience Essential Strong experience in enterprise data migration ...

platforms, ensuring the accuracy, integrity and completeness of data throughout the migration lifecycle. You will lead data discovery, mapping, transformation, cleansing and validation activities, leveraging Azure-based tools such as Databricks, Azure Data Factory (ADF) and SQL to support efficient and controlled data migration. Working closely with business stakeholders, data … loading (ETL) processes using Azure technologies, including Databricks, Azure Data Factory (ADF) and SQL. Data Quality & Cleansing: Drive data profiling, cleansing, standardisation and validation activities, resolving inconsistencies, duplicates and incomplete records to improve data quality. Testing & Validation: Collaborate with business users, data owners and test teams to plan and execute ...

accessibility considerations. Mentorship in visualisation : Experience in reviewing and advising junior members to improve the quality and efficiency of data visualisations. Data Quality Assurance, Validation, and Linkage Data quality assurance : Experience in implementing processes for data quality assessment and improvement, including data profiling, cleansing, and standardisation. Data validation and linkage … Ability to perform data validation checks and integrate data from various sources to ensure consistency and accuracy. Data cleansing and preparation : Proficiency in defining data cleansing processes and preparing data for analysis by handling missing values, outliers, and duplicates. Communication of data limitations : Skilled in articulating data constraints and limitations ...

modelling and large-scale data processing. Experience integrating REST APIs, including authentication, pagination, rate limiting and error handling. Understanding of data reconciliation, data quality validation, exception handling and audit evidence. Experience using Git, automated testing, CI/CD and controlled software release processes. Ability to troubleshoot distributed data pipelines … missing, duplicate or inconsistent records. Implement robust data flows with retry mechanisms, error handling, replay, recovery and monitoring. Establish canonical data models, data lineage, validation rules and reliable data structures. Develop automated tests to validate data accuracy, completeness, performance and processing reliability. Use Git, code reviews and CI/ ...