76 to 100 of 3,770 Validation Jobs in England

systems using Oracle Integration Cloud (OIC), including integration recipes, REST APIs, SOAP services, business events and webhook notifications where supported. Implement integration mapping, orchestration, validation, monitoring, error handling and recovery mechanisms. Deliver data conversion, migration and bulk updates using File-Based Data Import (FBDI), ADF Desktop Integration ( ADFdi … services, including authentication, XML, JSON and event-driven integration patterns. Practical experience using FBDI, ADFdi and HDL for data loading, conversion and migration, including validation and reconciliation. Strong SQL skills and experience developing BI Publisher reports and OTBI analyses. Experience developing and troubleshooting HCM Fast Formulas. Knowledge of Fusion ...

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 ...

pipelines. Build data integration solutions across cloud, on-premise, and third-party systems. Design and implement robust data migration solutions, including extraction, transformation, validation, reconciliation, and cutover activities. Perform data profiling, root cause analysis, and data quality assessments. Develop and optimise data warehouse, data lake, and lakehouse solutions. Produce source … with: Microsoft Fabric Strong knowledge of: ETL and ELT design patterns Data Warehousing Data Lake and Lakehouse architectures Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information We pride ourselves in offering an excellent benefits package, including an aboveaverage pension scheme. When you join the team ...

detail-oriented and analytical Testing and Integration Analyst to join our Data Management team. In this role, you will support the testing, validation, and integration of bibliographic metadata feeds and internal systems, helping to ensure the quality, accuracy, and reliability of data delivered to our clients. Working closely with internal … work effectively within a team environment. Preferred Skills and Experience Understanding of ONIX metadata standards. Experience with software testing methodologies, UAT, or data validation processes. Knowledge of Power BI reporting and dashboard validation. Experience within the publishing, bookselling, library, or information services sector. Why Join NielsenIQ BookData? Be part ...

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 ...

with SAS 9.4, SAS Viya 3.x and/or SAS Viya 4, ideally supporting migration or transformation projects. Expertise in data migration, data transformation, validation, data quality management and performance tuning within large-scale environments. Strong hands-on skills with SQL, Python and scripting for data processing and automation. Experience ...

Power BI, Tableau, Kibana, or Grafana. Write efficient SQL, Python, or Spark code for data extraction, transformation, and analysis. Implement data quality checks and validation processes to ensure accuracy and reliability of monitoring data. Support automated alerting and reporting for operational incidents, policy violations, and compliance metrics. Document data flows ...

Power BI, Tableau, Kibana, or Grafana. · Write efficient SQL, Python, or Spark code for data extraction, transformation, and analysis. · Implement data quality checks and validation processes to ensure accuracy and reliability of monitoring data. · Support automated alerting and reporting for operational incidents, policy violations, and compliance metrics. · Document data flows ...

decisions. Develop and maintain interactive Power BI dashboards, reports and monitoring tools aligned with business KPIs. Write complex SQL queries for data extraction, transformation, validation and analysis. Create scalable data models and support the development of efficient reporting and ETL processes. Ensure the quality, reliability, consistency and governance of data ...

diverse set of stakeholders Preferred Qualifications, Capabilities, and Skills Knowledge of data engineering concepts such as data modeling, ETL and ELT patterns, data validation, monitoring, and performance considerations Experience designing or partnering on UI and UX for dashboards and internal reporting experiences Experience improving reporting operating models through standardization, reuse ...

Analytics Architecture – Help develop governed, reusable semantic models that provide consistent business logic and measures to multiple lightweight Power BI reports Data Quality – Build validation, reconciliation and data-quality controls to ensure information is accurate, complete, consistent and trustworthy Data Management & Governance – Support good data-management practices including metadata, data ...

mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs. Technical Skills Strong proficiency in Python (data analysis/automation for metadata extraction, validation scripts, rule checks). Hands‐on experience with PySpark and Spark SQL in production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet. Advanced ...

Power BI, Tableau, Kibana, or Grafana. Write efficient SQL, Python, or Spark code for data extraction, transformation, and analysis. Implement data quality checks and validation processes to ensure the accuracy and reliability of monitoring data. Support automated alerting and reporting for operational incidents, policy violations, and compliance metrics. Document data ...

information, inconsistent product classifications and pricing or costing errors. Produce accurate reports, analytical models and dashboards to support business decision-making. Support data cleansing, validation and preparation activities linked to Microsoft Dynamics 365 Business Central and wider business improvement projects. Develop and maintain Excel workbooks, reporting tools and analytical resources ...

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 ...

user-focused, reliable and maintainable software features, fixes and enhancements for downstream users and systems Maintain software quality, security, performance and coding standards, including validation, error handling, logging and quality controls Monitor application and app execution performance, and support the investigation, troubleshooting and resolution of software, integration, reporting and data ...

user-focused, reliable and maintainable software features, fixes and enhancements for downstream users and systems Maintain software quality, security, performance and coding standards, including validation, error handling, logging and quality controls Monitor application and app execution performance, and support the investigation, troubleshooting and resolution of software, integration, reporting and data ...

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 ...

modelling, incremental refresh, performance tuning, model governance and capacity/cost awareness. Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control and safe decommissioning. Experience operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality checks, lineage and runbooks. Comfortable ...

coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Benefits Time Off: 25 days ...

documented, version-controlled, testable and supportable. Platform Modernisation Contribute to the transition from Informatica and Azure Synapse-based solutions to Databricks, including analysis, migration, validation and decommissioning activity. Use existing Synapse knowledge to understand current pipelines and architecture, identify dependencies and support safe migration to the target platform. Refactor ...

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 ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

operations Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls, improve performance ...

Provider & Contract Management Lead governance and relationships with key data providers, including Circana, Nielsen, IQVIA, Kantar, and other syndicated data partners. Manage supplier onboarding, validation, performance monitoring, service reviews, and training programs. Oversee data provider contracts, service agreements, addendums, and compliance with business requirements. Partner with Procurement, Legal ...