1 to 25 of 215 Validation Jobs in the South East

Experience Participation in migrating data platforms (e.g., PostgreSQL or other cloud RDBMS) into a data warehouse like Snowflake with minimal disruption and strong data validation controls. Change & Adoption Support Experience supporting business teams during platform transitions (e.g., training, documentation, user onboarding, issue resolution). Best Practice Contribution Experience contributing ...

reconciliation reports to support business readiness and post-go-live stability. Data Migration Support: Collaborate with data owners to define objects, cleansing rules, and validation logic for migration from legacy systems to S/4HANA. Testing & QA: Coordinate User Acceptance Testing (UAT), develop test scripts, and ensure that the solution ...

reconciliation reports to support business readiness and post-go-live stability. Data Migration Support: Collaborate with data owners to define objects, cleansing rules, and validation logic for migration from legacy systems to S/4HANA. Testing & QA: Coordinate User Acceptance Testing (UAT), develop test scripts, and ensure that the solution ...

teams in delivery environments. Strong experience within Agile/Scrum teams, including writing user stories. Hands-on experience with data profiling and data validation activities. Familiarity with regulatory compliance , particularly in ESG-related contexts. Preferred Skills & Experience Exposure to management information (MI) and analytics platforms . Experience with Azure-based ...

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 ...

dashboards and reports using Power BI Extract, manipulate, and analyse data using SQL and Python Communicate findings clearly to non-technical audiences Support data validation, testing, and deployment processes across different environments (Development, Test, and Production) Collaborate with cross-functional teams to improve data quality and reporting processes Profile ...

processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews.? Contribute to continuous improvement of verification and validation processes, tools and best practices.? Candidate profile Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience ...

dashboards and reports using Power BI Extract, manipulate, and analyse data using SQL and Python Communicate findings clearly to non-technical audiences Support data validation, testing, and deployment processes across different environments (Development, Test, and Production) Collaborate with cross-functional teams to improve data quality and reporting processes Profile ...

pipelines, and integration layers Collaborate with data engineers, analysts, and business stakeholders to define requirements and deliver end-to-end solutions Ensure model performance, validation, monitoring, and continuous improvement Contribute to best practices across data science, engineering, and cloud-based data architecture Key Skills & Experience Essential Strong experience in Bayesian ...

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 ...

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 ...

ensure continuous improvement of the following ITIL processes: Business Relationship Management Demand Management Design coordination Change Evaluation Change Management Release and Deployment Management Service Validation and Testing Plus actively support the IT team in Information Security Management KNOWLEDGE, EXPERIENCE, QUALIFICATIONS Bachelor's degree in computer science, business administration ...

impactful data solutions Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating, and resolving data issues Own data projects end-to-end, from discovery and design through to delivery and iteration Collaborate ...

internal playbook. DUTIES & RESPONSIBILITIES This person will be responsible for: Data Integrity & Governance Conduct scheduled data quality checks within Mercury CRM, including: Mandatory field validation Vacancies Open for more than 6 months Reason code completeness Duplicate and inconsistent record checks Detection of backdated changes Support enforcement of standardised definitions, dropdowns ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

Stakeholder & Delivery Support Act as a bridge between business SMEs, data engineers, and data architects, ensuring shared understanding and accurate translation of requirements. Support validation and sign-off of documented logic and requirements with business and BAT stakeholders. Contribute to impact analysis, dependency mapping, and delivery planning for the data ...

platform releases, upgrades and vendor changes Maintain runbooks, support playbooks and platform documentation MLOps & Model Lifecycle Build and improve standard MLOps patterns across training, validation, deployment and monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing ...

communication mechanisms in kdb+ and integration with external systems. Experience tuning kdb+ systems for low latency and high availability. Familiarity with data quality checks, validation frameworks, and operational resilience patterns. Exposure to financial markets data (e.g., market data, trading, risk, or post-trade workflows, equity asset class). Personal Attributes ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects ...