1 to 25 of 133 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 ...

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 ...

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 ...

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 ...

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 ...

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) MS-Integration Services (MSIS) that support operational teams, cyber leadership ...

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 ...

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 ...

/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 ...

dependent on role, payment of this will be the applicants responsibility) Professional registration and/or qualification checkOccupational health assessment Employment history and reference validation All applicants external to The Christie NHS Foundation Trust will be required to provide their HMRC employment history to cover the most recent three years ...

shape testing frameworks in collaboration with Data Engineers, Analytics Engineers, and Product teams. You’ll guide the move toward scalable automation, drive data validation across ETL/ELT processes, and mentor QA engineers while exploring AI-enabled testing approaches to raise quality and delivery speed across the data #J ...

models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes Own solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands-on experience with AWS data services Amazon ...

develop and maintain robust reporting systems across SQL Server and Google Cloud Platform Build resilient ETL and ELT pipelines for data ingestion, transformation and validation Modernise legacy SQL Server reporting solutions into scalable, cloud-native GCP architectures Deliver data-quality checks, reconciliation controls, monitoring and operational safeguards Embed engineering standards ...

reporting platforms or data services. Proven ability to develop product strategies, roadmaps and measurable outcomes. Expertise across the full product lifecycle, from discovery and validation through to adoption, optimisation and retirement. Strong prioritisation and problem-framing skills, with the ability to make evidence-based decisions in complex environments. Extensive experience ...

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 ...