1 to 25 of 187 Validation Jobs in the North West

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 ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

issues, investigations, and resolutions Monitor system performance and proactively identify improvement opportunities Contribute to continuous improvement of support processes and procedures Participate in testing, validation, and deployment of releases Version Control and Deployment Use version control systems (e.g., Git) to manage codebase, track changes, and collaborate with other developers. Setup ...

cyber security tooling, identifying control gaps, technical debt and opportunities for rationalisation or automation. Provide technical support to cyber incident investigations, threat hunting, control validation and recovery activities when required. Remediate and/or work with Technology teams and value streams to support the remediation of security weaknesses and confirm ...

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 ...

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 ...

must be willing and eligible to obtain SC clearance. Experience Level: 5+ years of relevant experience. Key Responsibilities: Carry out software integration, verification and validation activities across embedded systems Deploy, configure and troubleshoot software within Linux-based environments Develop and maintain Bash scripts to automate integration and testing activities Work ...

Lead cost optimisation efforts to ensure efficient resource usage. Implement robust security controls including RBAC, data masking, and identity integration. Develop automated testing and validation for platform changes. Establish governance and compliance controls (e.g., audit logging, access reviews). Design disaster recovery and business continuity strategies. Create reusable templates ...

service integrations that enable infrastructure self-service and operational automation. Infrastructure Automation & DevOps Build and maintain CI/CD pipelines supporting automated testing, validation and deployment. Implement automated testing frameworks and continuously expand service test coverage. Manage application deployment across development, QA, staging and production environments. Leverage Infrastructure as Code ...

infrastructure fixes or Known Error Database (KEDB) entries. Change Enablement : Act as a technical authority on the Change Advisory Board (CAB). Provide engineering validation, risk assessment, and peer reviews for complex cloud deployments (Azure, GCP) or database schema modifications. Service Configuration Management : Ensure Cloud Engineers and the DBA diligently ...

/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 ...