1 to 25 of 240 Permanent Validation Jobs in London

within operational processes. Collaborate with stakeholders to identify opportunities for process optimisation through automation and data-driven solutions. Data Quality, Reporting & Governance Implement automated validation, monitoring, and data quality controls across datasets and pipelines. Ensure solutions align with governance, security, and GDPR/DPA requirements. Optimise database performance and query ...

data ingestion and transformation frameworks using cloud-native and on-premise technologies. Develop and optimise data models, warehouses, and lakehouse architectures. Implement data quality, validation, governance, and security controls. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Monitor, troubleshoot, and optimise data workflows ...

planning and wealth management processes into clear, actionable requirements that drive high-quality technology solutions. Responsibilities Requirements Elicitation & Analysis Lead the elicitation, documentation, and validation of business and technical requirements across wealth and financial planning processes Facilitate workshops and interviews with advisers, paraplanners, and operational stakeholders to capture current-state ...

with graph databases (Neo4j preferred) or willingness to learn quickly Knowledge of event-driven architectures and message queues Knowledge of API design principles, data validation, and serialisation Experience with AWS Lambda and serverless architectures Experience working across the stack (backend + some frontend) Understanding of web technologies, HTTP ...

with data architects, analysts, and non-technical stakeholders Creating well-modelled datasets to support Power BI and wider analytics use cases Improving data quality, validation, monitoring, and performance Ensuring data is handled securely and in line with GDPR and best practice Helping lay the foundations for future AI and machine ...

clean taxonomy and stable interfaces/contracts exist for core datasets (definitions, naming, ownership, consumption patterns). Incidents and manual fixes drop through better validation, monitoring/alerts, and clear ownership. Strong data engineering practices are the default: testing, code review, documentation, and operational ownership. A sustainable team cadence ...

methodologies Collateral & margining workflows Trade lifecycle events CCR platforms (Murex, Calypso, proprietary engines) Market data, sensitivities, pricing models Data validation, reconciliation, and analytics‐heavy testing Experience in regulatory‐driven change programmes 🛡️ Governance, Controls & Compliance Ensure QA processes meet audit, model governance, and technology control standards. Maintain documentation for audits, regulatory ...

Excellent SQL engineering and data modelling experience (star/snowflake schemas, best practices) Experience designing and supporting end-to-end data pipelines (ingestion, transformation, validation) Familiarity with Snowflake features including Time Travel, cloning and RBAC Experience working in cloud-based data environments (Azure preferred, AWS also considered) Familiarity with ...

Experience working with CI/CD pipelines and version control (Jenkins, GitHub Actions, GitLab CI, Git) Familiarity with React, HTML, CSS, JavaScript for UI validation Knowledge of SQL and experience testing relational databases Our Commitment to Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed ...

business expectations. Integration and Data Build and support interfaces, data flows, and integrations across Microsoft Dynamics and connected systems. Assist in data preparation, conversion, validation, and reconciliation activities where required. Ensure technical solutions handle data securely, accurately, and efficiently. Support reporting and analytical outputs where technical development is required. Microsoft ...

Databricks, Kafka, Python and PySpark. Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical ...

acute care organisations or equivalent Experience of Intersystems HealthConnect. Experience developing integration solutions with HL7, Webservices/XML, Files. Experience in implementing data validation and verification solutions to enhance data integrity and quality. Desirable Experience in the transformation of NHS datasets for differing Experience of Acute Hospital Information Systems ...

Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling Implementing Bronze/Silver/Gold data layers Embedding data quality, validation and monitoring within pipelines Supporting analytics and BI teams with trusted, well-structured datasets Contributing to CI/CD pipelines and version-controlled deployments Working closely ...

Spark experience counts) Experience implementing platform security practices (secure connectivity, secrets management, RBAC concepts) aligned to client policies Experience implementing data quality controls and validation checks, plus producing clear documentation for traceability and handover Confident leading workshops and engaging stakeholders at all levels — able to explain complex ideas ...

from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure • Implement automated model training, validation, and monitoring processes • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data ...

/Fabric, Azure SQL/data lake environments Building and improving data models to support reporting, analytics and business decision-making Improving data quality, validation, monitoring and overall reliability of core datasets Supporting integration work across internal systems, third-party platforms and APIs Working closely with business stakeholders to translate ...

making Supporting customer insight and survey analysis Exploring how AI tools and emerging technologies can improve reporting, insight and business processes Improving data quality, validation and reporting accuracy Preparing clear reports and recommendations for stakeholders Working with teams across Sales, Marketing, Operations and Finance What were looking for Experience ...

business teams Ensure successful implementation of Fabric components including OneLake, Data Engineering & Data Factory, Data Warehousing & Lakehouse, and Power BI integration Manage cutover, validation, and post-migration stabilisation Data Governance & Purview Adoption Drive enterprise-wide data governance strategy execution using Microsoft Purview Lead implementation of data cataloguing and metadata management ...

Prism environment. Demonstrated functional experience across the project lifecycle, including facilitating data discovery workshops, mapping source-to-target data, and executing rigorous data validation and UAT. Effective prioritization of tasks and proven ability to manage complex data mapping schedules and technical troubleshooting efficiently. Soft Skills & Communication Pivotal team player with ...

Embed a culture of continuous improvement, innovation and constructive challenge to existing processes. End-to-End Business Analysis Delivery Lead the elicitation, documentation and validation of business and system requirements, ensuring full traceability across the delivery lifecycle. Facilitate process mapping ('as is' and 'to be') to identify opportunities for optimisation ...

automated testing and data validation. Proven track record deploying and monitoring machine learning solutions on clinical datasets (e.g., risk stratification, patient flow, phenotyping), including validation, drift monitoring, and adherence to clinical safety and data governance standards. Desirable Experience of using R or Python Experience with modern data engineering tools ...

image domain and is responsible for executing the configuration of IXICO platform(s) in accordance with project requirement specifications, and for the design, development, validation and deployment of bespoke image analysis workflow features that are required for an allocated portfolio of projects. The job holder works hand-in-hand with ...

consistent execution across one or more teams. Act as a translator between business and technology-communicating complex topics clearly to diverse audiences. Perform functional validation; coordinate end-user testing/UAT; capture bugs and enhancements into the backlog; and coordinate retest cycles to closure. Identify cross-platform dependencies and collaborate ...

migration support. Should have experience working within highly regulated environments, specifically Banking or Financial Services Expert-level ability to conduct deep data reconciliation and validation between legacy systems and target EDPs, ensuring data integrity, consistency, and accuracy across large-scale financial datasets. Advanced SQL for complex querying and troubleshooting, alongside ...

support analytics, reporting, and operational workflows Business‐logic translation — convert complex requirements into clean, production‐grade Python End‐to‐end workflow ownership — ingestion, transformation, validation, monitoring, optimisation Platform reliability — improve observability, performance, and resilience across the stack Architecture input — contribute to decisions as the platform modernises and scales Engineering standards ...