76 to 100 of 890 Validation Jobs in England

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 ...

based platforms Deliver KPI reporting, insight and ad-hoc analysis Translate complex data into clear, actionable insights for non-technical stakeholders Support data quality, validation and consistency across datasets Work with technical teams to improve data structures and reporting solutions Engage with senior stakeholders to gather requirements and present findings ...

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 ...

data pipelines, transforming manual processes into automated, scalable solutions Collaborate with stakeholders to translate business requirements into data-driven solutions Implement data quality checks, validation rules, and monitoring processes Uphold data governance best practices across the BI layer Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations ...

maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products ...

design and optimisation (both SQL and NoSQL) Experience with graph databases (Neo4j preferred) or willingness to learn quickly Knowledge of API design principles, data validation, and serialisation Experience with AWS Lambda and serverless architectures What We Offer Impact : Direct influence on product direction and technical decisions Growth : Opportunity to work ...

refine data processes and retain institutional knowledge Is this you? Requirements Essential Requirements: Experience working with SQL and structured datasets. Experience performing data validation, cleansing, and data quality checks. Proven experience in a data-focused role, specifically within data migration and transformation. Strong technical aptitude for complex data mapping activities. ...

Booking Engines, Revenue Management tools). Data Quality & Integrity: Ensure consistent, accurate, and timely data flow across systems. Develop processes for data validation, reconciliation, and anomaly detection. Cross-Functional Collaboration: Work closely with operations, marketing, finance, and executive teams to understand data needs and translate them into analytical solutions that ...

maintain Platformation’s proprietary analysis platform and data workflows Process and structure raw data sources, including media and sponsorship-related datasets Support the training, validation and execution of analytical models Manage and organise data pipelines to ensure consistency and accuracy across projects Collect, clean and validate data from multiple sources ...

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 ...

quality and integrity. Load data into the data warehouse while ensuring consistency and accuracy. optimise ETL processes for performance, scalability, and reliability. Implement data validation, quality checks, and security measures. Troubleshoot and resolve data issues, performance bottlenecks, and ETL failures. Implement best practises for data warehousing, data modelling ...

Business Analyst, Functional Analyst, or similar role, preferably within a Salesforce environment. Hands-on experience with declarative configuration (fields, objects, page layouts, flows, workflows, validation rules). Strong experience gathering, documenting, and translating business requirements into functional solutions. Familiarity with Agile/Scrum methodologies and user story development. Excellent communication ...

intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated ...

global enterprise setting. Technical Skills : Experience with enterprise systems supporting CRM, CPQ, ERP, FSM, analytics, etc.; advanced Excel or SQL skills for validation, analysis and reconciliation; knowledge of Salesforce, Oracle, NetSuite, master data management (MDM), and data model structures. Convergint is an Equal Opportunity Employer. ...

Data Strategy & Governance Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements Promote best practices in data governance, model validation, and ethical AI usage Qualifications: Required Background: MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline Strong grounding ...

users across the organisation. Ensure the integrity and reliability of corporate data by proactively identifying data quality issues and putting in place effective assurance, validation and improvement activities. Translate complex data into clear narratives and insights that enable non-specialist audiences to understand performance, risks and trends affecting the organisation. ...

implementation phases. Assist in resolving complex technical challenges across client environments. Ensure solutions are aligned with security, compliance, and operational best practices. Support testing, validation, and handover activities where required. Contribute to continuous improvement across delivery methodologies and technical standards. Mentoring & Knowledge Sharing (20%) Improve technical capability across the business ...

across multiple data layers Overseeing database testing and automation Collaborating with developers, product owners, and delivery teams Key skills Hands on experience with Data validation and reconciliation/ETL testing/Data Migration Microsoft Fabric knowledge and hands on with Lakehouse architecture and Integrations Understanding of Power BI Experience ...

data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/ ...

data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/ ...

GCP. Work with structured and unstructured datasets from multiple source systems. Develop and optimize cloud-based data processing solutions. Perform data ingestion, transformation, validation, and cleansing activities. Collaborate with business, analytics, and technology teams to support data initiatives. Ensure data quality, security, governance, and compliance standards are maintained. Troubleshoot ...

frameworks** * Delivering high-quality **Power BI dashboards and reporting** * Supporting cloud data warehouse environments such as **Redshift,Snowflake,Databricks,or similar** * Driving data quality,validation,and testing best practice * Working closely with product,commercial,finance,and leadership teams * Translating complex data into clear,decision-ready insight ## Required Experience ...

ensure successful migration outcomes Support ETL processes and work closely with supplier data migration consultants Lead and coordinate testing activities, including unit testing, data validation, and user acceptance testing (UAT) Ensure compliance with data protection standards when handling personal data Work collaboratively across project workstreams to support delivery Key Skills ...

Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration. Optimize Spark workloads, cluster configurations, and storage strategies for high performance and cost ...