1 to 25 of 242 Validation Jobs in the North West

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 ...

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 ...

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 ...

Transformation & Modelling Build and maintain transformation layers using SQL and DBT. Design reusable and scalable data models following engineering best practices. Implement testing and validation to ensure high levels of data quality. Optimise transformation performance and maintainability. Platform Automation & Orchestration Develop and maintain automated workflows using Windmill. Schedule, orchestrate ...

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. ...

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 ...

Testers to support refinement, prioritisation, delivery clarification and implementation readiness. Testing and Quality Assurance - Support test scenario definition, UAT coordination, defect triage and validation that delivered functionality aligns with agreed requirements and acceptance criteria. Client Reporting Context - Support the ongoing evolution of Rathbones' reporting capabilities, helping to improve the quality ...

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 ...

time data ingestion, transformation, storage, integration and consumption. Guide the design of data products, pipelines and analytics solutions, including approaches to schema evolution, data validation and data quality. Provide architectural assurance for data migration, legacy modernisation and the transition from fragmented point solutions to modern cloud services. 3. Data governance ...

frameworks, master data, data quality, and self-service analytics. Use quantitative and qualitative analysis to inform decisions, validate assumptions, and measure outcomes. Lead solution validation, UAT strategy, and benefits realisation activities. Provide expert guidance on organisational change, process redesign, and adoption of new data capabilities. Influence senior leaders and help ...

reliability. Write, review, and improve high‐quality production code while promoting engineering best practices. Provide constructive technical guidance and code review feedback, including validation of AI‐generated code. Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic ...

where applicable JSON, XML, XSLT, XPath and schema-based transformations Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

Lead the design, development and maintenance of Power BI dashboards, KPI reporting and analytical solutions. Deliver accurate and timely performance reporting, ensuring robust data validation and quality assurance. Maintain KPI frameworks, definitions and governance standards across the organisation. Drive data quality improvements and provide assurance on the accuracy and integrity ...

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 ...

analysis, statistics and data modelling Python/SQL - hands-on data analysis and manipulation Data Visualisation - Power BI, Tableau or similar Data Quality - cleansing, validation and standardisation Statistical Analysis - regression, hypothesis testing and time series Stakeholder Management - presenting insights to technical and non-technical audiences To be Considered: Please either ...

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. ...

overall vulnerability attack surface of the Bank. Leverage Python, SQL, and other languages/platforms to automate data ingestion, transformation, enrichment, and quality validation (ETL). Develop and maintain visualizations and reports in Power BI or MS‐Reporting Services (SSRS)/SQL Server Integration Services (SSIS) that support operational teams ...

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 ...

across multiple jurisdictions (focus on EU VAT legislation). Preferred Qualifications - Experience with assurance, control frameworks, or operational risk management, enabling effective review and validation of testing methodologies, evidence, and controls. - Master's degree (LL.M., M.Sc.) in Tax or Law; professional qualification such as CTA, ADIT, ACA, or ACCA. - Familiarity ...

statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers or recommendations for senior audiences. Ability ...

/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability ...