1 to 25 of 239 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 ...

performant 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.Insurance or financial ...

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 ...

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 ...

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 ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

data internally or via other third-party stakeholders. Experience of monitoring, identifying and escalating data quality issues and designing ETL processes to incorporate data validation techniques. Experience managing deployments and transitions from DEV to PROD, supporting live service activation and environment coordination, with hand-on involvement in CI/ ...

maintainability, performance, and 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 DevelopmentBuild production-grade AI agents and agentic workflows using ...

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 ...

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 ...

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 ...

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. ...

equivalent analytical toolsExperience improving modelling environments through automation, standardisation or modern engineering practicesA sound understanding of model governance, documentation, monitoring and independent validation in a regulated environmentThe ability to translate complex analysis into practical strategies and clear commercial recommendationsLeadership experience, including developing, coaching or mentoring analytical colleaguesThe confidence and communication ...

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 ...

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 ...

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 ...

implementation activities adhere to established methodologies, standards, and documentation requirements. Validate Partner with customers and internal teams to support solution testing, defect resolution, and validation activities. Investigate and troubleshoot issues identified during testing and coordinate resolution with appropriate stakeholders. Support customer readiness by delivering administrator training and facilitating solution reviews. ...