126 to 150 of 3,772 Validation Jobs in England

will work closely with hardware, product, optical, electrical, and software engineering teams to develop reliable and scalable automated test solutions that support product development, validation, manufacturing, and characterisation activities. This is a hands‐on technical role requiring strong software engineering skills, practical experience with test and measurement equipment … Real‐time oscilloscopes Optical spectrum analysers Signal generators Network analysers Good understanding of automated test systems and measurement methodologies. Experience with software debugging, verification, validation, and troubleshooting. Experience using source control systems such as Git. Knowledge of software development lifecycle processes and modern development methodologies. Ability to solve complex real ...

working with teams to address them. Carry out routine data quality work (e.g. patient demographics, contact details, workflow and tasks). Support APEX data validation and other regular data quality processes. Respond to data queries (e.g. record validation, pop-ups, missing indicators). Systems & Configuration Develop and support SystmOne configuration ...

more of their time on the science Build reproducibility and quality in ‘by design’: versioned data, code and environments, and introducing clear lineage and validation checks in every pipeline so issues are caught early and analyses run on trusted data Develop shared tooling, templates and libraries that standardise how analyses … stack e.g. pandas, NumPy, pandera and pytest Experience building and maintaining production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including ...

more of their time on the science Build reproducibility and quality in ‘by design’: versioned data, code and environments, and introducing clear lineage and validation checks in every pipeline so issues are caught early and analyses run on trusted data Develop shared tooling, templates and libraries that standardise how analyses … stack e.g. pandas, NumPy, pandera and pytest Experience building and maintaining production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including ...

integration flow. Handle schema changes, late-arriving data, retries, reconciliation and error handling as normal engineering concerns. Data quality, modelling and reporting Build validation and reconciliation into pipelines so problems are identified early and traced back to source. Investigate data-quality issues and work with system owners to fix root … definitions, lineage, ownership and transformation logic. Use Git, peer review and CI/CD for database and data-platform changes wherever practical. Automate deployment, validation and monitoring rather than relying on manual scripts and undocumented steps. Apply appropriate security, access, retention and privacy controls to healthcare and business data. Support ...

bring together internal data and relevant external information, identify emerging issues and reduce manual effort. The focus is on practical application, with robust validation, traceability and human oversight. This is an opportunity to combine risk expertise, analytical problem‐solving and emerging AI capabilities to help shape how a growing fintech … compliance (GRC) solution, partnering with Risk, Data and Technology colleagues on implementation. Improve data quality and governance: Document data sources, definitions, lineage, refresh frequencies, validation checks and limitations to ensure reporting is consistent, explainable and reliable. Drive continuous improvement: Identify opportunities to simplify reporting, improve analytical processes and strengthen ...

experience Working knowledge of SAP HANA: basic HANA SQL and an understanding of calculation views. Ability to write and run SQL queries for data validation and issue tracing. Practical hands‐on experience with SAP Analysis for Office. Working knowledge of SAP BusinessObjects BI Platform 2025+, including Web Intelligence, BI Launchpad … working within a DevOps-enabled Git-based workflow to prepare, version‐control and support the promotion of HANA SQL artefacts, calculation view changes and validation scripts through development, test, pre‐production and production environments. Has worked in an Agile team and understands SCRUM/agile concepts Connect to your business ...

operation and monitoring of data pipelines, ensuring they are reliable, performant and meet agreed service levels. Define and embed a data quality framework covering validation rules, reconciliation, quality measures, issue management, and root cause analysis. Ensure solutions meet data protection, security and audit requirements, working with architecture, information security … Quality Experience overseeing ETL/ELT pipeline design and operation, including CDC, orchestration, monitoring and alerting. Establishing data quality controls and measures, such as validation rules, reconciliation, profiling, exception handling and data quality reporting. Data governance knowledge, including data lineage, ownership, access control, auditability and UK GDPR obligations. Experience ...

Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps Execution: Apply cloud-native services, secure deployment patterns, observability, lifecycle management, and MLOps practices …/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance monitoring. Excellent communication and collaboration skills, with the ability to engage technical and non‐technical stakeholders, lead cross‐functional delivery, and enable ...

Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps Execution: Apply cloud-native services, secure deployment patterns, observability, lifecycle management, and MLOps practices …/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance monitoring. Excellent communication and collaboration skills, with the ability to engage technical and non-technical stakeholders, lead cross-functional delivery, and enable ...

functionality embedded within T3, SPDJI’s core equity index calculation platform. T3 supports key parts of the index lifecycle, including corporate actions, data capture, validation, transformation, and rebalance implementation. The team is evolving its platforms to improve automation, simplify legacy processes, and align with the broader Data Platforms strategy where … environment. Strong understanding of index products, index calculation workflows, and operational processes. Experience working with data‐heavy platforms, workflows, or systems where data ingestion, validation, transformation, and quality are important to business outcomes. Comfortable engaging in technical discussions and translating complex requirements into clear, actionable delivery items. Experience managing backlogs ...

gates on every build and pull request Automate REST API testing using tools such as Postman/Newman or REST Assured, covering authentication, payload validation and negative cases Validate back-end data with SQL to confirm UI and API results match the system of record Investigate and eliminate flaky tests ...

reverse-engineer data pipelines or reporting logic Strong Python, PySpark and SQL Deep knowledge of Delta Lake, Unity Catalog, Workflows and medallion architecture Automated validation, reconciliation and testing experience Azure data engineering (ADLS Gen2, ADF) Databricks CI/CD (Terraform, Asset Bundles or Azure DevOps) SAP ECC or S/ ...

background with a real interest in moving into testing Working SQL and the ability to query relational databases Some Python (or R) for data validation or test automation Hands-on use of AI tools such as ChatGPT or LLM-based coding assistants, and the judgement to check what they produce ...

background with a real interest in moving into testing Working SQL and the ability to query relational databases Some Python (or R) for data validation or test automation Hands-on use of AI tools such as ChatGPT or LLM-based coding assistants, and the judgement to check what they produce ...

including data extraction and manipulation using SQL. Practical experience with Oracle OL/SQL and R-SQL. Ability to develop, implement and maintain data validation, integrity and reconciliation controls, investigate discrepancies, and implement corrective actions to improve data quality and reporting accuracy. Demonstrated experience enhancing or migrating legacy Excel/ ...

JMeter for performance and load testing. JavaScript/TypeScript are also in use. C#/JavaScript Test automation frameworks Postman SQL and data validation REST APIs Azure-hosted applications and services Gherkin/BDD Event-driven architectures CI/CD pipelines Preferred experience Insurance, financial services, fintech or other complex ...

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 ...

Configuration Support Work closely with technical consultants to translate requirements into platform configurations Support data migration activities including legacy data mapping, template preparation, and validation Assist in creating and reviewing test cases for UAT (User Acceptance Testing) Facilitate UAT sessions and track defect resolution through to closure Project Delivery Collaborate ...

support SOAR and automation initiatives using technologies such as Microsoft Sentinel Automation, Cortex XSOAR, Splunk SOAR, Tines, and Swimlane . Threat Analysis & Detection Validation Validate the effectiveness of security detections through threat-focused analysis and threat hunting activities. Perform quality assurance reviews of detection rules and analyst handling processes. Review ...

display and foster them,it’sdeeply embedded within our DNA. Invest in us andwe’llinvest in you!. Job Description Requirements analysis and validation Defining and executing test strategies and scripts Ensuring requirements traceability Introducing/suggesting new processes and techniques Accurate recording and monitoring of issues Provide QA support ...

Flink where it is the better fit), including event schema governance, exactly‐once semantics and stream‐to‐lakehouse integration. Define and embed data quality, validation and observability frameworks, and hold the team to them through design and code review. Govern the lakehouse and data warehouse design, ensuring consistency, scalability ...

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. ...

delivered on time, within budget and to a high quality. The role is accountable for driving the adoption of best practice across modelling, experimentation, validation and implementation, ensuring insights translate into practical and measurable business outcomes. The Data Science Manager will provide technical leadership across advanced analytics, machine learning ...

delivery milestones.Identify and proactively resolve risks, issues, and delivery blockers to ensure successful programme outcomes.**Data, Reporting & Integration Management**Coordinate data cleansing, migration, mapping, validation, reconciliation, and business sign-off activities.Ensure reporting, analytics, and integration requirements are clearly defined, delivered, and aligned with business objectives.Drive stakeholder readiness for data adoption ...