1 to 25 of 1,465 Permanent Validation Jobs in London

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 ...

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 ...

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 ...

following areas would be advantageous: Test Automation: Selenium, Playwright, Cypress or similar tools. API Testing: Postman, SoapUI or REST APIs. Database Testing: SQL, data validation and reconciliation. ERP Testing: SAP, Oracle, Workday or Microsoft Dynamics. Financial Services, Banking, HR, Payroll or Finance Transformation. Performance, Accessibility, Mobile or Cloud Testing. Experience ...

managing QA resources. TOOLS & TECHNICAL ENVIRONMENT Fenergo CLM, JIRA/Xray/Confluence, HP ALM, Azure DevOps; SQL (Oracle/SQL Server) for data validation; Agile (Scrum/Kanban) delivery environment. #J-18808-Ljbffr ...

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 ...

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 ...

. 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 ...

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 ...

guidance and mentor junior testers where required. Compliance and Quality Standards Align testing practices with relevant GOV.UK Service Standard and DDaT requirements. Support the validation of security, accessibility and performance requirements through automated and manual testing, where appropriate. Ensure testing approaches contribute to the delivery of reliable, accessible and user ...

business's reporting, analytics and wider data needs. You'll also: · Integrate internal and third-party systems using APIs and SFTP · Build automated testing, validation and data quality controls · Improve performance, reliability, scalability and cloud costs · Investigate production incidents and fix the underlying cause, not just the symptom · Improve observability ...

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 ...

testable code and assists in peer code reviews. Supports the setup of automated testing and observability within CI/CD pipelines. Contributes to the validation and tuning of models to ensure performance and data quality, adhering to AI fairness and explainability principles. Participates in the refinement of AI/ ...

testable code and assists in peer code reviews. Supports the setup of automated testing and observability within CI/CD pipelines. Contributes to the validation and tuning of models to ensure performance and data quality, adhering to AI fairness and explainability principles. Participates in the refinement of AI/ ...

Salesforce platform structure: the data model (objects, fields, relationships), security and sharing model (profiles, permission sets, roles, sharing rules), declarative automation (Flow, validation rules) and custom development (Apex, Lightning Web Components). Proven ownership of the Salesforce release lifecycle: sandbox and environment strategy, source control, change sets and metadata deployments ...

internal and external sources including databases, APIs, and streaming platforms into centralized data repositories and data warehouses. Ensure data quality and consistency by implementing validation checks, data profiling, and error handling mechanisms. Optimize data pipelines and processing algorithms for performance, reliability, and scalability to handle growing data volumes and user ...

with SAS 9.4, SAS Viya 3.x and/or SAS Viya 4, ideally supporting migration or transformation projects. Expertise in data migration, data transformation, validation, data quality management and performance tuning within large-scale environments. Strong hands-on skills with SQL, Python and scripting for data processing and automation. Experience ...

diverse set of stakeholders Preferred Qualifications, Capabilities, and Skills Knowledge of data engineering concepts such as data modeling, ETL and ELT patterns, data validation, monitoring, and performance considerations Experience designing or partnering on UI and UX for dashboards and internal reporting experiences Experience improving reporting operating models through standardization, reuse ...

mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs. Technical Skills Strong proficiency in Python (data analysis/automation for metadata extraction, validation scripts, rule checks). Hands‐on experience with PySpark and Spark SQL in production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet. Advanced ...

using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using Direct Lake, Import or DirectQuery as specified in the architectureWrite efficient ...

coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Benefits Time Off: 25 days ...

Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices. Perform detailed data analysis, validation and quality assurance across large financial datasets; investigate anomalies and identify root causes across data, code and methodology. Develop automation and AI-enabled tools ...

operations Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls, improve performance ...

Provider & Contract Management Lead governance and relationships with key data providers, including Circana, Nielsen, IQVIA, Kantar, and other syndicated data partners. Manage supplier onboarding, validation, performance monitoring, service reviews, and training programs. Oversee data provider contracts, service agreements, addendums, and compliance with business requirements. Partner with Procurement, Legal ...