26 to 50 of 3,618 Validation Jobs in England

system dependencies. Strong experience collaborating directly with data engineers, BI developers, solution architects, and business SMEs. Good understanding of data quality principles, data validation, reconciliation processes, and writing technical acceptance criteria. Outstanding workshop facilitation and stakeholder management skills, particularly when navigating ambiguous, unclear, or conflicting data definitions. Experience working across ...

priority 2, 3 and 4 issues impacting production ML & AI services deployed within the business. You’ll carry out data science & AI model testing, validation and test automation. You’ll support deployment of ML & AI models as API endpoints for consumption within First Central and partner systems. You’ll continually ...

data visualisations that give investment professionals ready access to decision‐useful information. Apply sound model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis ...

identify trends, patterns and key findings Build scalable, reliable and fit-for-purpose data models, datasets and reporting solutions Conduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities Support ...

data visualisations that give investment professionals ready access to decision‐useful information. Apply sound model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis ...

assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/agents for: CI/CD execution Code validation Incident resolution Key Tools and Technologies DevOps Tools: GitLab, Jenkins, Ansible, Terraform Cloud: AWS Containers & Orchestration: Docker, Kubernetes, EKS, AKS Monitoring: DataDog Scripting: Python, Bash, Shell ...

driven components (e.g. Kafka). Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads.Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. ...

Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment. Strong SQL querying skills (analysis, reconciliation, data validation) with experience working withSQL Server and Snowflake(or equivalent modern cloud data warehouse plus willingness to ramp up quickly). Strong requirements engineering capability: elicitation ...

principles for clear and accurate visualisations. Willingness to learn from peers : Open to feedback from senior team members to improve visualisations. Data Quality Assurance, Validation, and Linkage Data quality assurance : Familiarity with data quality assessment techniques. Data validation and linkage : Experience performing basic data validation checks and combining data from ...

execution of Microsoft Fabric migration activities. Lead and guide migration engineers and QA resources. Develop Python, PySpark and Spark SQL code for data validation and curation within notebooks. Create data integration test cases and support testing activities. Implement and amend data processing and worker pipelines. Implement data validation and curation ...

PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake … DevOps, GitHub Actions, YAML pipelines. Scripting – Python, PowerShell. Monitoring – Azure Monitor, Log Analytics, Alerts, Application Insights. SQL & Data Warehousing – SQL skills for debugging, data validation, and optimization; experience with Azure SQL DB or SQL Server; familiarity with data modeling concepts and warehouse performance tuning. Support & Incident Management – Strong troubleshooting ...

data products to meet evolving analytical and business requirements. Drive high standards of data quality, integrity and governance through the implementation of automated validation, cleansing, monitoring and anomaly detection processes. Integrate, transform and harmonise data from a wide range of internal and external sources, including policy, claims, telematics and third … data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage, permissions management, governance controls and data asset tagging. Strong analytical and problem-solving skills, with the ability ...

pipelines. Build data integration solutions across cloud, on-premise, and third-party systems. Design and implement robust data migration solutions, including extraction, transformation, validation, reconciliation, and cutover activities. Perform data profiling, root cause analysis, and data quality assessments. Develop and optimise data warehouse, data lake, and lakehouse solutions. Produce source … design patterns Data Integration architectures Data Warehousing Data Lake and Lakehouse architectures Data Modelling Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information We pride ourselves in offering an excellent benefits package, including an above average pension scheme. When you join the team at NEC Software Solutions ...

regulatory and operational reporting, meeting internal standards and external regulatory requirements to fixed reporting cycles and deadlines. Automate manual and legacy reporting processes, embedding validation, reconciliation and automated checks to ensure trusted outputs. Enhance existing automated reporting solutions. Engage directly with business stakeholders across the business to understand and document … regulated environment, with an accuracy‐first mindset and a keen eye for detail. Demonstrable experience of automating manual, recurring reporting processes and embedding validation, reconciliation and control checks to ensure trusted outputs. Strong T‐SQL skills, writing and optimising queries to build and support complex reporting and data transformations. Advanced ...

Cucumber, and JavaScript. Participate in SIT and UAT phases while coordinating with distributed global teams. Act as the primary point of contact during release validation and sign-off activities. Identify, analyse, track, and support the resolution of defects throughout the software development lifecycle. Validate payment processing workflows including inbound ...

adoption and engineering approaches while collaborating closely with Engineering and Data Product teams Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption Experience identifying opportunities to improve operational efficiency through technology and automation Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering ...

data engineering processes. Monitor data pipelines, Power BI refreshes, and production environments. Troubleshoot pipeline failures, data quality issues, and deployment problems. Implement data validation, monitoring, logging, and alerting. Work with development, analytics, and business teams to understand requirements. Follow DevOps and DataOps best practices around version control, automation, testing ...

Work closely with Business Analysts, Data Analysts, Product teams and senior stakeholders to understand requirements and translate them into effective technical solutions. Implement testing, validation and monitoring to ensure data accuracy, model performance and solution reliability. Optimise data processing, storage and AI workloads for performance, scalability and efficiency. Produce clear ...

Skills Advanced Excel Expert-level Excel capability, including: PivotTables and PivotCharts Power Query XLOOKUP and advanced lookup functions Complex formulas and analytical modelling Data validation, cleansing and transformation VBA and macros would be advantageous Power BI and Data Visualisation Strong Power BI experience, including: Data modelling DAX Power Query Dashboard ...

Skills Advanced Excel Expert-level Excel capability, including: PivotTables and PivotCharts Power Query XLOOKUP and advanced lookup functions Complex formulas and analytical modelling Data validation, cleansing and transformation VBA and macros would be advantageous Power BI and Data Visualisation Strong Power BI experience, including: Data modelling DAX Power Query Dashboard ...

report and dataset performance improvement by reviewing data models, DAX calculations, queries and refresh approaches, escalating more complex optimisation needs where required. Apply data validation, reconciliation and testing approaches to ensure analytics outputs are accurate, reliable and aligned to approved sources. Document solutions clearly, including data sources, logic, refresh schedules ...

cost, and business value Translate ambiguous business requirements into clear analytical and AI use cases Conduct exploratory analysis, feature engineering, model development, evaluation, and validation activities Partner with Data Engineers, Architects, Product Owners, and stakeholders throughout the delivery lifecycle Support the operationalisation of AI solutions through APIs, cloud platforms, MLOps ...

cost, and business value Translate ambiguous business requirements into clear analytical and AI use cases Conduct exploratory analysis, feature engineering, model development, evaluation, and validation activities Partner with Data Engineers, Architects, Product Owners, and stakeholders throughout the delivery lifecycle Support the operationalisation of AI solutions through APIs, cloud platforms, MLOps ...

modern data engineering frameworks Apply infrastructure‐as‐code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

modern data engineering frameworks Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...