1 to 25 of 669 Validation Jobs in the UK excluding London

solutions Skills & Experience Required Proven experience as a Test Engineer or QA Engineer in cloud/data environments Strong Python skills for automation, data validation, and test development Experience testing data pipelines (data quality, transformation, performance) Experience designing or extending automated test frameworks Strong problem-solving and root cause analysis ...

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 ...

Redshift, Athena, RDS, EC2, and CloudWatch. Design and implement data models (Star Schema, Snowflake Schema) to support downstream BI and analytics dashboards. Perform data validation, reconciliation, and quality checks across migration and ingestion pipelines. Optimize SQL queries and data processing performance (indexing, partitioning, tuning). Use orchestration and automation tools ...

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 ...

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 ...

regulated government environment. Technical skills required Languages & analytics Python primary language for pipeline development and data processing SQL used for querying, transformation, and validation across data stores PySpark for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing ...

with data architects, analysts, and non-technical stakeholders Creating well-modelled datasets to support Power BI and wider analytics use cases Improving data quality, validation, monitoring, and performance Ensuring data is handled securely and in line with GDPR and best practice Helping lay the foundations for future AI and machine ...

modern programming languages (e.g., JavaScript/TypeScript or similar). Good understanding of RESTful APIs, HTTP methods, request/response structures, and API validation techniques. Experience working with CI/CD tools (e.g., Jenkins, Azure DevOps, GitLab CI, or similar) for automated test execution. Familiarity with version control systems such ...

Provide business context to Product Managers, Product Owners, Engineers, and Data Scientists to support effective delivery Participate in business user testing and support the validation of delivered solutions Support the investigation and resolution of production incidents, data issues, and business queries Contribute to the ongoing development of data products, insight ...

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 ...

analytics and reporting across key finance areas, including Accounts Payable, Cash Accounting, Commercial Services and Operations. Key responsibilities include: Performing SQL‐based data exploration, validation and transformation to support finance analytics. Using Python, including Pandas and Numpy, for deeper analysis, automation, data profiling and insight generation. Building and maintaining Power ...

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 ...

join our product engineering teams. This role focuses on ensuring the quality of our software platforms through structured testing, investigation of issues, and validation of new features prior to release. The role sits between Support and Development, helping to reproduce issues, verify fixes and perform regression testing across our product ...

reporting pipelines Connect and integrate data from Dynamics 365, F&O, Business Central, SharePoint/OneDrive and other approved sources Implement refresh and validation controls. Automate and orchestrate data processing with Power Query, DAX, and Power Automate Contribute to lightweight ETL patterns aligned to Kibble’s ICT controls. Enable ...

requirements traceability. Work closely with Enterprise and Solution Architects to shape optimal solutions and operating models. Support integration design, testing, and end-to-end validation activities. Provide mentorship, oversight, and quality assurance to BAs across the team. Act as a point of escalation for requirements, scope, or traceability issues. Ensure ...

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 ...

decisions Key Responsibilities: Design and develop robust data models using Databricks (Medallion Architecture) Write and optimise complex SQL queries for data extraction, transformation, and validation Build and maintain Power BI dashboards to support finance reporting Use Python (Pandas/Numpy) for deeper analysis, automation, and data profiling Translate business requirements ...

risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics. Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data. Support functional reporting teams ...

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/ ...

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 ...

pipelines, and integration layers Collaborate with data engineers, analysts, and business stakeholders to define requirements and deliver end-to-end solutions Ensure model performance, validation, monitoring, and continuous improvement Contribute to best practices across data science, engineering, and cloud-based data architecture Key Skills & Experience Essential Strong experience in Bayesian ...

services including Glue, Lambda, and S3. Support the migration of an existing data warehouse into AWS and Redshift. Design and implement data quality checks, validation, and monitoring. Contribute to modern data lakehouse and data warehousing architecture. Work closely with analysts and data scientists to enable advanced analytics and machine learning ...

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 ...

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 ...