1 to 25 of 253 Validation Jobs in the North West

system dependencies. Strong experience collaborating directly with data engineers, BI developers, solution architects, and business SMEs. Good understanding of data quality principles, data validation, reconciliation processes, and writing technical acceptance criteria. Outstanding workshop facilitation and stakeholder management skills, particularly when navigating ambiguous, unclear, or conflicting data definitions. Experience working across ...

solutions. Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices. Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively. Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts. ...

priority 2, 3 and 4 issues impacting production ML & AI services deployed within the business. You’ll carry out data science & AI model testing, validation and test automation. You’ll support deployment of ML & AI models as API endpoints for consumption within First Central and partner systems. You’ll continually ...

data engineering processes. Monitor data pipelines, Power BI refreshes, and production environments. Troubleshoot pipeline failures, data quality issues, and deployment problems. Implement data validation, monitoring, logging, and alerting. Work with development, analytics, and business teams to understand requirements. Follow DevOps and DataOps best practices around version control, automation, testing ...

Work closely with Business Analysts, Data Analysts, Product teams and senior stakeholders to understand requirements and translate them into effective technical solutions. Implement testing, validation and monitoring to ensure data accuracy, model performance and solution reliability. Optimise data processing, storage and AI workloads for performance, scalability and efficiency. Produce clear ...

report and dataset performance improvement by reviewing data models, DAX calculations, queries and refresh approaches, escalating more complex optimisation needs where required. Apply data validation, reconciliation and testing approaches to ensure analytics outputs are accurate, reliable and aligned to approved sources. Document solutions clearly, including data sources, logic, refresh schedules ...

modern data engineering frameworks Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

strategic decision‐making. Data Quality, Governance & Integrity Ensure data quality, accuracy, and consistency across all reports and analytical outputs Carry out regular data cleansing, validation, and reconciliation activities Support the implementation and adherence to data governance policies and standards Documentation & Knowledge Sharing Document methodologies, processes, and outputs to promote transparency ...

Product teams. Managing multiple workstreams while ensuring delivery aligns to wider programme objectives. Defining governance, data quality and best practice standards. Supporting testing, validation and go-live readiness of analytical solutions. Contributing to pre-sales activities, solution design and client growth opportunities. Benefits Performance bonus. Private healthcare. Generous pension contribution. ...

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 ...

including APIs, spreadsheets, and core systems, ensuring reporting is accurate and reliable. Own data quality, contribute to improvements in governance, and support refresh cycles, validation checks, and performance optimisation. AI, Automation & Continuous Improvement: Support AI-driven insights and automation in analytics and reporting. Reduce manual reporting and repetitive tasks ...

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 ...

administration. Support development of automated workflows and reporting processes. Investigate opportunities for digital innovation and AI-enabled solutions. ⸻ **Data Quality & Governance** Conduct regular data validation and quality assurance checks. Support development of data governance standards. Identify gaps, trends and anomalies within SHEQ datasets. Ensure compliance with GDPR and company information ...

with Data Scientists, BI Developers, Analysts and business stakeholders to translate business requirements into robust technical solutions. Drive data quality through the implementation of validation, integrity and monitoring processes. Optimise the performance of databases, data warehouses, data lakes, lakehouses and streaming data platforms. Support the development of event-driven ...

support and enhance Workday Extend applications, ensuring solutions are secure, maintainable, user-focused and aligned to agreed design principles.Support integration monitoring, error handling, data validation, defect resolution and production support activity across Workday and connected systems.Produce and maintain high-quality technical deliverables, including integration design documents, mapping specifications, test evidence ...

translate business questions into technical BI solutions, and present actionable insights clearly. Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets. Champion Data Governance: Ensure high standards of data quality, data integrity, security ...

Engineering to create and enact impactful initiatives and strategies in the data domain. Ensure the quality, accuracy, and completeness of data by implementing data validation, integrity, and monitoring processes. Optimize and tune the performance of the data ecosystem, including databases, data warehouses, data lakes and data streams in an event ...

. Work with technical teams to ensure requirements are understood and delivered in line with agreed outcomes. Support customer workshops, playback sessions and requirements validation activities. Contribute to workflow diagrams, functional designs and business process documentation. Work collaboratively with architects, consultants, developers, testers and change and enablement teams throughout implementations. ...

dimensional modelling (e.g., star schemas). Data Quality & Production Support: Practical experience supporting production data environments, conducting root-cause issue resolution, and enforcing data validation and integrity controls. Collaborative & Solution-Focused: Proven ability to translate business requirements into scalable data solutions and communicate effectively across technical and non-technical stakeholders. ...

your assigned business areaProduce data quality dashboards, scorecards and management information; source, validate and map Critical Data Elements (CDEs)Support data lineage, mapping, process validation, control testing, metadata reviews and data quality assessmentsInvestigate data quality issues, identify root causes and support sustainable remediationDocument end-to-end data processes, flows, controls ...

critical data solutions. Partner with Data Scientists, Analysts and business stakeholders to translate business requirements into robust technical solutions. Drive data quality by implementing validation, monitoring and governance best practice. Optimise the performance of databases, data warehouses and data lakes to support growing business demands. Evaluate and implement modern data ...

stakeholders to troubleshoot issues and implement effective solutions. Change Delivery : Facilitate the delivery of business and technology change initiatives. Coordinate requirements gathering, testing, data validation, and user acceptance activities. Ensure that solutions are fit for purpose, aligned with business objectives, and support business readiness, training, and adoption activities. Business Analysis ...

stakeholders to troubleshoot issues and implement effective solutions. Change Delivery : Facilitate the delivery of business and technology change initiatives. Coordinate requirements gathering, testing, data validation, and user acceptance activities. Ensure that solutions are fit for purpose, aligned with business objectives, and support business readiness, training, and adoption activities. Business Analysis ...

call support and major incident management as required. Prepare operational reports, service health summaries, and stakeholder communications. Write and analyze SQL queries for data validation, issue investigation, and production troubleshooting. Use Unix/Linux commands and scripting for application support, log reviews, file handling, and system-level troubleshooting. Leverage Splunk ...

diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong technical expertise in SQL and Python for data analysis, validation, and remediation, enabling accurate and scalable data operations Proven experience in data quality management and remediation processes, ensuring completeness, consistency, and reliability of large datasets ...