1 to 25 of 260 Remote/Hybrid Validation Jobs in England

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 ...

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 ...

structure of data in preparation for Extract Transformation and Load Design and implement data pipelines and processes based on business requirements Write ETL data validation and data reconciliation queries Define high level and low-level design of a data platform to ensure robustness e.g., restorability, traceability, ease to support, etc. ...

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 ...

safeguard sensitive information. Ensure compliance with relevant data privacy and protection regulations, such as GDPR. Data Quality Assurance ▪ Implement data quality checks and validation processes within the pipelines to ensure accuracy, completeness, and consistency of data. Collaborate with data governance, architects, system owners and end users to ensure quality issues ...

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 ...

business needs and delivered solutions. Collaborate with data engineers and platform teams to clarify requirements and support accurate implementation within Palantir Foundry. Support data validation, reconciliation, and UAT activities , helping to confirm that delivered datasets meet agreed business expectations. Identify data quality issues or gaps and escalate risks or dependencies ...

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 ...

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 ...

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 ...

systems Collaborate with embedded engineers, AI/ML specialists, and system architects to integrate software into the wider robotics platform Conduct testing, optimisation, and validation to ensure software meets safety and performance requirements Contribute to improving development processes, tooling, and methodologies for robotics systems Stay up to date with advancements ...

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 ...

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 ...

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 ...

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 ...

business stakeholders, and programme partners to ensure solutions meet operational needs. Data Quality, Security & Governance: Implement engineering practices that ensure high data quality, including validation, monitoring, reconciliation, and automated testing. Embed secure by design, including encryption, access control, secure data movement, and compliance with regulatory requirements. Operational Excellence: Build resilient ...

using modelling software and BPMN Assist in identifying opportunities for process improvement or automation Support the development of capability demonstrators Support the testing and validation of solutions during delivery phases Maintain clear documentation and version control for deliverables Support client facing business development activity Essential Experience of working in Agile ...

Server and AI Agent experience The consumption of MCP endpoints from 3rd parties Complex data requirements and solutions System integration challenges and implementations Data validation and error handling Quality assurance and testing approaches Essential Soft Skills Leadership ability Quick decision-making capabilities Clear communication and reasoning Ability to defend ...

modelling principles Define and Implement Best Practice Establish scalable standards for: Data modelling (e.g. dimensional modelling, layered architecture) Transformation workflows (ELT patterns) Testing and validation Documentation and governance Introduce modern development practices (e.g. version control, CI/CD where appropriate) Hands-On Delivery Build and optimise data models, transformations ...

business intelligence tools such as Power BI and data transformation platforms like Alteryx to create clear, insightful reports and dashboards. Present complex data, validation processes and methodologies in a way that enables clients to fully understand their performance against sustainability and compliance objectives. Compliance Monitoring: Specialise in packaging ...

data. Collaborate with Test Manager and Business SMEs to develop and execute test plans related to data and system functionalities. Conduct testing and validation of data to ensure accuracy and integrity. Provide technical consultation for Third Party Supplier change requests. Analyse any incidents reported via the Service Desk ...

tools and platforms remain cutting‐edge. Champion AI tools and solutions through AI governance committees for approval, demonstrating compliance with security standards, model validation requirements, and regulatory guidelines to ensure safe release into production. Monitor and maintain compliance of deployed AI tools through regular security audits, vulnerability assessments, and updates ...