1 to 25 of 328 Validation Jobs in London

APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing ...

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 ...

solutions, guiding the model development life cycle from proof‐of‐concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends ...

reproducible and costs under control Integration & orchestration — Designing queue-based microservices that coordinate work across the platform reliably and at scale Data quality — Building validation, confidence scoring, and tooling that helps the team trust the data we produce Structured data pipelines – ETL on structured financial data and building downstream data ...

Google Cloud), or domain-specific technologies. Project Portfolio: Demonstrated experience working on complex customer engagements, including solution design, proof-of-concept execution, and technical validation, with a portfolio showcasing successful outcomes and strategic insights. Technical Workshops or Training: Participation in advanced workshops or training focused on presales strategies, emerging technologies ...

allocations, invoicing, etc. Test PeopleSoft batch processes (AE, BI, AP, AM jobs), workflow routing, security roles, and financial configuration setups. Perform end-to-end validation of financial integrations (banking, payment gateways, ERP to downstream systems). Support PeopleTools upgrades, PUM updates, and customization validation. Manage and coordinate System Testing, System ...

from proof‐of‐concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics : Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration : Act as a bridge between the Data Science team and other business units, fostering integration ...

Expert knowledge of MDM architecture patterns, including registry, consolidation, coexistence, and centralised models. Data modelling (conceptual, logical, canonical models) Data quality frameworks (profiling, cleansing, validation rules) Matching & survivorship logic, entity resolution, hierarchy management Metadata management, reference data management, and stewardship workflows Strong proficiency with cloud-native data services (Azure Purview ...

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 ...

documentation) Excellent SQL engineering and data modelling (star/snowflake schemas, best practices) Experience designing and delivering end-to-end data pipelines (ingestion, transformation, validation) Familiarity with CI/CD pipelines (Azure DevOps or similar) Experience working in cloud-based data environments (Azure or AWS) Strong communication skills and ability ...

strong cross-border stakeholder management a key success factor. Key Responsibilities Data & Systems Analysis Write and optimise SQL queries in Snowflake to support data validation, reconciliation, and ad hoc analysis across the fund accounting and portfolio data ecosystem Own end-to-end data lineage mapping across Investran, iLevel ...

data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures Monitor data pipelines and ensure timely data ...

User Acceptance Testing (UAT) phase Testing Coordination: Coordinate UAT activities with clients and operations teams, ensuring proper test coverage before production deployment Quality Validation: Perform quality assurance testing on integration builds before production release Process Management Meeting Facilitation: Develop and lead internal and external meeting agendas, applying project standards consistently ...

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 ...

service to service integrations. Proven experience validating data engineering pipelines (ETL/ELT, batch jobs, scheduled data builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/ ...

service‑to‑service integrations. Proven experience validating data engineering pipelines (ETL/ELT, batch jobs, scheduled data builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big‑data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/ ...

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 ...

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 ...

sources (portfolio, transaction, performance, behavioural and macro/market inputs) Supporting forecasting/simulation initiatives by: Preparing modelling tables, features, and cohort definitions Producing validation checks, back-testing support, and monitoring metrics Documenting assumptions and ensuring outputs are reproducible Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation ...

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 ...

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 ...

strong understanding of its data structures, chart of accounts, and financial workflows • Exposure to data migration projects, including data mapping, cleansing strategies, and validation frameworks • Knowledge of Power BI or other reporting and analytics tools that integrate with Microsoft Dynamics 365 • Experience working alongside business architecture or solution design teams ...

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 ...