1 to 25 of 234 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 ...

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 ...

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 ...

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 ...

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 ...

view of quality and release readiness. Key Skills Policy Administration Systems within Protection, Life, Pensions or related products Data migration testing, reconciliation and transformation validation Test strategy, integrated test planning and quality governance System, integration, E2E, regression and UAT testing Defect governance and quality reporting Cutover, release and production assurance ...

delivery of enhancements. Support HR technology projects, including new implementations, upgrades, releases and system improvements. Ensure HR data remains accurate and reliable through regular validation, auditing and reconciliation. Deliver scheduled and ad hoc HR reporting and management information using HR systems and Microsoft Excel. Company benefits: 25 days Holiday + ...

analysis and traceability activities. Contribute to system architecture and interface modelling activities. Produce and maintain engineering artefacts in accordance with programme standards. Support verification, validation and test planning activities. Assist with model reviews, quality assessments and configuration management activities. Support technical trade studies and analysis activities. Collaborate with multidisciplinary engineering ...