1 to 25 of 148 Remote/Hybrid Validation Jobs in the North of England

technical stakeholders. Ability to mentor junior team members and promote data modelling best practices across delivery teams. Experience supporting testing activities, including data validation, reconciliation and data quality assurance. Strong analytical, problem-solving and stakeholder management skills. Desirable Technical Skills SQL Server, Oracle or PostgreSQL NoSQL databases such as MongoDB ...

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 ...

property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control practices. Agile delivery environments. Essential consulting skills Our clients look ...

semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control practices. Agile delivery environments. Essential consulting skills Our clients look ...

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 ...

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 ...

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 ...

initiatives, contributing to data preparation, modelling and visualisation. Work with Data Engineering to ensure data is accurate, structured and available for reporting. Perform data validation and quality checks to ensure accuracy and consistency of outputs. Apply agreed BI standards, including data modelling, naming conventions and report design. Support the migration ...

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 ...

Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code validation or documentation. Youll have the opportunity to develop that experience as AI becomes more integrated into the wider data and technology environment. Package and working ...

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 ...

improvement. We are looking for experience in the following core business analysis skills: Strong and proven business analysis capability across requirements elicitation, analysis, documentation, validation, and management. Ability to independently understand complex business problems and lead the translation of business needs into high‐quality requirements and solution designs. Extensive experience ...

specific requirements including UI design; Data models; Business process changes and Interface designs?. Apply best practice Requirements Engineering techniques, ensuring effective elicitation, analysis, validation, documentation, and traceability of requirements throughout the project lifecycle. Gather and define business requirements using a range of elicitation methods, including stakeholder interviews, workshops, surveys ...

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 ...

improvement. We are looking for experience in the following core business analysis skills: Strong and proven business analysis capability across requirements elicitation, analysis, documentation, validation, and management. Ability to independently understand complex business problems and lead the translation of business needs into high‐quality requirements and solution designs. Extensive experience ...

regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration ...

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 ...

working with: Oracle ERP Adapter File Server Adapter Database Adapter FTP Adapter In addition, you'll have experience with: FBDI generation and processing Data validation and load troubleshooting Enterprise integration support and optimisation Oracle Cloud Applications & Integration Architecture You will possess strong knowledge of Oracle Cloud applications and integration frameworks ...

testing, deployment and ongoing improvement. What you’ll be doing Building AI agents that retrieve information, process documents and take controlled actions, with appropriate validation and human approval. Developing APIs, backend services and integration components using C#, modern .NET, ASP.NET Core and Azure Functions. Connecting business applications through REST APIs ...

/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 ...