1 to 25 of 229 Validation Jobs in the South East

data sources. Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns. Implement incremental refresh, schema evolution management, and data validation tests. Ensure data availability aligned to business SLAs (e.g., daily refresh for actuarial & finance repositories). Data Modelling & Warehouse Development Create well-structured dimensional ...

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 ...

processes for ingesting and processing data. Be responsible for the the current and future state of the data warehouse architecture, including data sourcing, data validation, data ingestion, database optimisation, tools, technologies and best practice. Lead on and be responsible for ensuring the data warehouse can be used as a corporate ...

recommending feasible remedial actions; and assisting in drafting high quality audit reports for Executive Management and the Board of Directors. Ensure timely and adequate validation of IAD issues in their assigned portfolio of coverage. Other Responsibilities Develops and manages open and constructive working relationships with stakeholders. Deliver assigned activities ...

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 ...

Oracle-specific features in PostgreSQL Data migration best practices: Experience with migration tools such as Oracle Data Pump, GoldenGate, custom ETL scripts, and data validation strategies Migration planning: Ability to plan and execute migration projects, including downtime management, data consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging ...

with 5+ years of hands‐on experience (complex queries, performance tuning, data modelling). Working knowledge of ETL processes and data flows, including validation, transformation, and loading. High proficiency in Excel for data analysis (formulas, pivot tables, lookups, automation, etc.). Experience working in Agile environments (e.g., Jira, Confluence). ...

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 ...

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 ...

stack and AWS-based infrastructure. Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints. Implement automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with ...

reduce errors Maintain build infrastructure and ensure system scalability Monitor build performance and implement improvements Ensure code quality through integration of testing and validation tools Document build processes, tools, and configurations Required Skills & Experience Proven experience as a Build Engineer, DevOps Engineer, or similar role Strong knowledge of CI/ ...

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 ...

flexible working Excellent learning and development opportunities through an internal academy Key experience: Strong experience with SQL, Python or similar for data analysis and validation Hands-on experience with Databricks, Delta Live Tables and data quality frameworks Proven background in data profiling, cleansing, migration and reconciliation Understanding of data pipelines ...

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 ...

Power Query, Power Pivot, advanced formulas).Write and optimise SQL queries to extract and manipulate data from relational databases. Ensure data integrity through rigorous validation, reconciliation, and quality checks. Skills/capabilities Strong analytical mindset with the ability to interpret complex data and communicate insights clearly. Ability to manage multiple ...

Canonical, Data Vault, and Dimensional modelling techniques. Proven experience designing models across Silver, Gold, and Semantic layers. Strong SQL skills for data profiling, validation, and modelling support. Experience supporting large‐scale data platform transformation or modernisation initiatives. Excellent communication skills with the ability to explain complex data concepts ...

complex datasets into clear narratives and actionable insights for operational teams and senior stakeholders. Lead analytics initiatives end-to-end: discovery, requirements, iterative development, validation, release, maintenance, and user support. Manage senior stakeholder relationships, communicating insights, recommendations, and technical issues clearly and effectively. Facilitate requirements workshops and translate needs into ...

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 ...

Components (LWC), Visualforce, and Salesforce Flows Design and implement customized solutions across Sales Cloud, Service Cloud, and Experience Cloud Build and optimize automation, validation rules, workflows, and flows Ensure high performance, scalability, security, and maintainability of Salesforce solutions Integration & Data Management Design and implement Salesforce integrations using REST and SOAP ...

strong end-to-end problem-solving. Advanced Programming & Data Science - Proficient in SQL, and Python or R with machine learning principles, model development, and validation capabilities Advanced Analytics & Data Science - Proficiency in data analytics techniques, statistical analysis, data science methods including machine learning, and optimization approaches for portfolio strategy development ...

acceptance criteria to ensure stories are ready for development. Agile Ceremonies: Run agile ceremonies, including backlog grooming, sprint planning, sprint reviews, and retrospectives. Feature Validation: Conduct User Acceptance Testing (UAT) to validate that stories meet the definition of done and acceptance criteria. Customer Interaction: Discuss features with internal and external ...

generation, test automation, documentation, performance analysis) Create and maintain self-service tooling for model evaluation, prompt engineering, A/B testing, monitoring, and compliance validation Establish and evolve patterns for data pipeline management, RAG/retrieval design, model versioning, endpoint management, and agentic orchestration Develop comprehensive documentation, architectural guidance, runbooks ...

best practices Perform data extraction, cleansing, transformation, and loading (ETL) Work with legacy systems and SAP (including S/4HANA where applicable) Support data validation, reconciliation, and cutover activities Collaborate with functional and technical teams to resolve data issues Ensure data governance and quality standards are maintained throughout What ...

cost modelling to support decision-making Establish data governance standards, ensuring consistent structures, a single source of truth, and improved data accuracy through validation controls Translate data into actionable insights, highlighting risks across resources, supply chain, and commercial performance, and building integrated KPI views Engage with PMO, Commercial, Operations ...

cost modelling to support decision-making Establish data governance standards, ensuring consistent structures, a single source of truth, and improved data accuracy through validation controls Translate data into actionable insights, highlighting risks across resources, supply chain, and commercial performance, and building integrated KPI views Engage with PMO, Commercial, Operations ...