26 to 50 of 3,770 Validation Jobs in England

PySpark and T-SQL for Lakehouse and Warehouse workloads, including fact and dimension models in the enterprise data warehouse. Implement data quality rules and validation pipelines, and help investigate and fix data issues found by DQ checks and reconciliations. Work through the team’s engineering workflow: Git-based development ...

process, and integrate data from diverse sources (Kafka, pub-sub, databases, APIs, streaming platforms, SaaS applications, flat files). Data Quality & Governance: Implement data validation, cleansing, and monitoring processes to ensure accuracy, consistency, and reliability of data assets. Infrastructure & Optimization: Manage and optimize cloud data infrastructure (e.g., GCP, AWS, Azure ...

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 ...

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 ...

delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation). Key Responsibilities Technical delivery Data extraction - Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean ...

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 ...

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 ...

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 ...

. Support schema evolution, data quality and data integrity across distributed platforms. Integrate data platforms with relational and NoSQL databases. Develop automated testing and validation for platform services and data processing components. Implement and maintain CI/CD pipelines for data platform workloads. Use Infrastructure as Code to create repeatable ...

trends, patterns and insights from data. Excellent attention to detail and a commitment to producing accurate, high-quality work. Experience working with data cleansing, validation and quality assurance processes. Ability to communicate findings clearly and effectively, both verbally and in writing. Strong organisational skills with the ability to manage multiple ...

assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/agents for: CI/CD execution Code validation Incident resolution Key Tools and Technologies DevOps Tools: GitLab, Jenkins, Ansible, Terraform Cloud: AWS Containers & Orchestration: Docker, Kubernetes, EKS, AKS Monitoring: DataDog Scripting: Python, Bash, Shell ...

Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment. Strong SQL querying skills (analysis, reconciliation, data validation) with experience working withSQL Server and Snowflake(or equivalent modern cloud data warehouse plus willingness to ramp up quickly). Strong requirements engineering capability: elicitation ...

drive the configured rules, risk scoring and lifecycle journeys. ROLE OVERVIEW The Data Analyst owns source-to-target data mapping, migration and validation activity — translating legacy and golden-source client/entity data into the Fenergo data model and proving its integrity end-to-end. The role works closely with … requirements evolve. ▪ Support and execute data migration (ETL) of client, entity, KYC/CDD and supporting document data into Fenergo. ▪ Design and run data validation and reconciliation — pre- and post-migration — including exception handling and remediation. ▪ Profile source data quality; identify gaps, duplicates and anomalies and drive resolution with data ...

Perform repeatable test migrations and migration rehearsals, assess the results, investigate errors and refine mapping and transformation rules ahead of the live cutover. Data Validation and Reconciliation: Reconcile migrated data against the original source records, including financial balances, transaction totals and record counts where applicable. Investigate discrepancies, resolve issues … maintain evidence of validation. Live Migration and Cutover: Execute live migrations in accordance with agreed cutover plans, security requirements, validation procedures and rollback arrangements. Coordinate with the wider implementation team to minimise disruption and support a controlled transition to the new system. Customer Sign-Off: Present migration results clearly ...

automation and AI-driven capabilities. You will also leverage AI-assisted engineering techniques and automation to accelerate migration activities, improve productivity, enhance testing and validation processes, and support the efficient delivery of modern data solutions. THE ROLE A key focus of the role is ensuring enterprise data is AI-ready … only through strong data quality, governance, lineage and validation practices, but also by helping establish consistent business definitions, metadata, relationships and semantic structures that provide the contextual foundation required for AI, analytics and knowledge-driven solutions. You will contribute to the development of trusted data products and business ontologies that ...

principles for clear and accurate visualisations. Willingness to learn from peers : Open to feedback from senior team members to improve visualisations. Data Quality Assurance, Validation, and Linkage Data quality assurance : Familiarity with data quality assessment techniques. Data validation and linkage : Experience performing basic data validation checks and combining data from ...

large-scale data and AI transformation programme. You'll play a pivotal role in delivering key data initiatives. What You'll Be Doing Data Validation & Quality Assurance Defining and documenting high-level process taxonomies and the conceptual data model across affected business areas Producing detailed test scripts, scenarios and Given … cases or supporting the delivery of AI-driven solutions Strong background in designing UAT frameworks, writing test scripts, setting acceptance criteria and managing user validation Hands-on experience capturing process taxonomies, mapping business definitions and building data dictionaries Excellent cross-functional communication, ideally supporting busy finance or FP&A teams ...

PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake … DevOps, GitHub Actions, YAML pipelines. Scripting – Python, PowerShell. Monitoring – Azure Monitor, Log Analytics, Alerts, Application Insights. SQL & Data Warehousing – SQL skills for debugging, data validation, and optimization; experience with Azure SQL DB or SQL Server; familiarity with data modeling concepts and warehouse performance tuning. Support & Incident Management – Strong troubleshooting ...

Support backlog refinement, prioritisation and requirements clarification activities throughout the delivery lifecycle. Collaborate with delivery teams to define acceptance criteria and support testing and validation activities. Support the successful handover of requirements and analysis artefacts into delivery and implementation teams. Promote alignment between business objectives, enterprise data standards and delivered … business analysis, requirements gathering and issue investigation. Analyse datasets to identify trends, anomalies, data quality issues and opportunities for improvement. Support the definition and validation of reporting logic, calculations, KPIs and business metrics. Demonstrate proficiency in Microsoft Office products, particularly Excel, Visio and PowerPoint. Use delivery and collaboration platforms such ...

implementation. Design and implement data transformation, migration and integration workflows. Build, maintain and optimise FME workspaces and automation processes. Deliver geospatial data quality, validation and improvement initiatives. Support the implementation and adoption of VertiGIS and third-party geospatial technologies. Develop technical documentation, specifications and delivery artefacts. Provide technical leadership … Flow (certifications are highly desirable) including: Support pre-sales activities, workshops and customer demonstrations where required. Data migration and ETL workflows Data validation, cleansing and transformation Workflow automation and integration design Performance optimisation and troubleshooting Additional desirable skills and experience includes: 1Spatial 1Integrate/1DataGateway 1Spatial 1Integrate/1DataGateway ArcGIS ...

data products to meet evolving analytical and business requirements. Drive high standards of data quality, integrity and governance through the implementation of automated validation, cleansing, monitoring and anomaly detection processes. Integrate, transform and harmonise data from a wide range of internal and external sources, including policy, claims, telematics and third … data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage, permissions management, governance controls and data asset tagging. Strong analytical and problem-solving skills, with the ability ...

Perform day-to-day administration of the Salesforce platform. Manage users, roles, profiles, permission sets, and security controls. Administer custom objects, fields, page layouts, validation rules, flows, and approval processes. Monitor platform health, data quality, and system performance. Support access provisioning, deprovisioning, and periodic access reviews. Application Support Provide Level … with service level agreements and operational standards. Release & Change Management Support Salesforce releases, deployments, and platform upgrades. Participate in testing, change assessments, and production validation activities. Maintain release documentation and deployment records. Support regression testing and post-release monitoring. Business Engagement & Delivery Work closely with business stakeholders to gather ...

ensure solutions align with approved designs, security requirements and technical standards. • You’ll support release planning, deployment activities, environment management and post-release validation activities. • You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery. • You’ll collaborate with security, governance … profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features. • You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

ensure solutions align with approved designs, security requirements and technical standards.• You’ll support release planning, deployment activities, environment management and post-release validation activities.• You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery.• You’ll collaborate with security, governance … profiles, segmentation and activation.• You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features.• You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

ensure solutions align with approved designs, security requirements and technical standards. • You’ll support release planning, deployment activities, environment management and post-release validation activities. • You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery. • You’ll collaborate with security, governance … profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features. • You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...