26 to 50 of 1,383 Remote/Hybrid Validation Jobs

coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Benefits Time Off: 25 days ...

strategic decision‐making. Data Quality, Governance & Integrity Ensure data quality, accuracy, and consistency across all reports and analytical outputs Carry out regular data cleansing, validation, and reconciliation activities Support the implementation and adherence to data governance policies and standards Documentation & Knowledge Sharing Document methodologies, processes, and outputs to promote transparency ...

communicate emerging trends, risks, opportunities, and key performance drivers to support informed business decision-making.* Ensure the accuracy, consistency, and reliability of data through validation, cleansing, and ongoing data quality monitoring.* Build strong stakeholder relationships by gathering requirements, understanding business challenges, incorporating feedback, and continuously improving analytical solutions to meet ...

initiatives, contributing to data preparation, modelling and visualisation. Work with Data Engineering to ensure data is accurate, structured and available for reporting. Perform data validation and quality checks to ensure accuracy and consistency of outputs. Apply agreed BI standards, including data modelling, naming conventions and report design. Support the migration ...

transformations using PySpark, Spark SQL, SQL, and Python. Create and maintain curated datasets that support business intelligence, reporting, and analytics. Implement data quality, reconciliation, validation, and monitoring processes. Optimise data pipelines and workloads to improve performance, reliability, and cost efficiency. Support the development of reusable engineering frameworks, templates, and standards. ...

time data ingestion, transformation, storage, integration and consumption. Guide the design of data products, pipelines and analytics solutions, including approaches to schema evolution, data validation and data quality. Provide architectural assurance for data migration, legacy modernisation and the transition from fragmented point solutions to modern cloud services. 3. Data governance ...

time data ingestion, transformation, storage, integration and consumption. Guide the design of data products, pipelines and analytics solutions, including approaches to schema evolution, data validation and data quality. Provide architectural assurance for data migration, legacy modernisation and the transition from fragmented point solutions to modern cloud services. 3. Data governance ...

reliability. Write, review, and improve high‐quality production code while promoting engineering best practices. Provide constructive technical guidance and code review feedback, including validation of AI‐generated code. Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI‐Native Software Development Build production‐grade AI agents and agentic ...

risks, issues, dependencies, and change requests, providing clear communication to customers and internal stakeholders. Support testing activities, including functional testing, user acceptance testing, data validation, and go-live readiness assessments. Deliver customer training and knowledge transfer sessions to drive adoption and long-term success. Act as a subject matter expert ...

write clean, reliable and maintainable code that follows agreed engineering standards, while ensuring data outputs are accurate, complete and fit for purpose through robust validation and quality checks. You’ll investigate and resolve data issues and pipeline failures, escalating more complex challenges where appropriate, and contribute to the ongoing stability ...

write clean, reliable and maintainable code that follows agreed engineering standards, while ensuring data outputs are accurate, complete and fit for purpose through robust validation and quality checks. You’ll investigate and resolve data issues and pipeline failures, escalating more complex challenges where appropriate, and contribute to the ongoing stability ...

risks, issues, dependencies, and change requests, providing clear communication to customers and internal stakeholders. Support testing activities, including functional testing, user acceptance testing, data validation, and go-live readiness assessments. Deliver customer training and knowledge transfer sessions to drive adoption and long-term success. Act as a subject matter expert ...

business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing, validation, and quality assurance activities Proficiency with GitHub or equivalent version control platforms, including code reviews, testing frameworks, and CI/CD practices Demonstrated ability ...

business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing, validation, and quality assurance activities Proficiency with GitHub or equivalent version control platforms, including code reviews, testing frameworks, and CI/CD practices Demonstrated ability ...

control deficiencies, and operational risks. Contribute to proof-of-concept initiatives involving AI and emerging technologies. Support regulatory reviews, business change initiatives, and remediation validation activities. Present audit findings, emerging risks, and key insights to senior management and relevant governance committees. Contribute to the continuous improvement of audit methodologies ...

delivery of best-in-class reporting and visualisation solutions using Looker or similar BI tools. Manage client data integrations, ensuring correct platform access, validation and documentation throughout delivery. Configure and work with APIs to integrate multiple marketing and business data sources. Collaborate with internal teams, external partners and clients ...

control deficiencies, and operational risks. Contribute to proof-of-concept initiatives involving AI and emerging technologies. Support regulatory reviews, business change initiatives, and remediation validation activities. Present audit findings, emerging risks, and key insights to senior management and relevant governance committees. Contribute to the continuous improvement of audit methodologies ...

technologies. You dont need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. Youll have scope to develop that experience alongside your core Data Engineering work. Package and working arrangement ...

sector or accessible digital services Strong communication and stakeholder collaboration skills Exposure to AI/ML-enabled development, including LLMs, context and guardrails‐style validation/testing, and model deployment/maintenance concepts Strong communication skills and ability to work effectively in a hybrid environment Due to the volume ...

performance-optimized data integration patterns Enforce coding standards, version control, and CI/CD practices Define and implement unit testing, regression testing, and data validation strategies Partner with QA to support system and integration testing efforts Troubleshoot and resolve data and pipeline issues across development, QA, and production environments Work ...

frameworks, master data, data quality, and self-service analytics. Use quantitative and qualitative analysis to inform decisions, validate assumptions, and measure outcomes. Lead solution validation, UAT strategy, and benefits realisation activities. Provide expert guidance on organisational change, process redesign, and adoption of new data capabilities. Influence senior leaders and help ...

data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third-party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role-based security Ensuring compliance ...

automated code reviews, synthesis, workflow orchestration, agent-driven monitoring/troubleshooting). Prototype and evaluate agentic workflows for automated anomaly detection, market data quality validation, and intelligent developer tooling. Technical Leadership & Excellence Drive engineering best practices: test-driven development (TDD), CI/CD pipelines, containerization, comprehensive observability, and low-latency ...

Oracle Fusion data models, table structures, subject areas, and data dictionaries. Advanced SQL and PL/SQL skills. Strong understanding of data extraction, validation, reconciliation, and reporting architecture. Experience designing scalable, supportable, and high‐performance reporting solutions. Ability to translate business requirements into reusable technical solutions. Desirable Skills Experience with ...

issues, investigations, and resolutions Monitor system performance and proactively identify improvement opportunities Contribute to continuous improvement of support processes and procedures Participate in testing, validation, and deployment of releases Version Control and Deployment Use version control systems (e.g., Git) to manage codebase, track changes, and collaborate with other developers. Setup ...