26 to 50 of 4,774 Validation Jobs in the UK

such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services … Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark Python and/or Java Data quality, validation and monitoring Git, CI/CD and Agile delivery practices Experience being most Senior of Lead within a project Eligibility for SC Clearance Joining Jacobs ...

/ELT processes to ingest, transform, and publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake ...

with testing data solutions in cloud‐based environments and modern data platforms. Strong analytical and problem‐solving skills with attention to detail in data validation and reconciliation. Active SC clearance is required. Experience working in secure, controlled or regulated environments. Note Note:This role requires UK Security Clearance ...

property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation). Key Responsibilities Technical delivery Data extraction - Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean ...

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 ...

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 ...

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 ...

quality data solutions. Key Responsibilities Develop, execute, and maintain detailed test plans, test cases, and test suites for data platforms and applications. Perform data validation and testing using complex SQL queries across multiple systems, including modern cloud data platforms. Ensure data integrity, accuracy, and consistency across ETL/ELT processes … field (preferred). 5+ years of experience in QA, software testing, or data testing roles. Strong SQL skills, including writing complex queries for data validation and analysis. Hands-on experience testing data within Snowflake or other modern cloud data platforms. Solid understanding of the Software Development Lifecycle (SDLC), Agile methodologies ...

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 ...

ability to assure quality solutions. This role operates within an agile delivery team in a Data Factory model and focuses on technical validation of data pipelines, transformations, and analytical outputs to ensure high levels of data quality, accuracy, and reliability for a data migration transformation programme. Working under … execute automated data tests in line with functional requirements, non-functional requirements and acceptance criteriaValidate data quality dimensions. Implement source-to-target reconciliation, schema validation, and transformation testing in ETL/ELT environmentsCollaborate with cross-functional teams in a multi-vendor environment to understand business requirements and translate them into ...

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 ...

datasets using SQL and, ideally, Python. Support deployment pipelines and version control practices. Troubleshoot data and reporting issues to ensure timely resolution. Implement data validation, cleansing and reconciliation processes. Maintain and enhance existing Power BI assets in line with evolving business needs. Establish data quality checks and monitoring mechanisms. ...