26 to 50 of 262 Metadata Jobs in the UK excluding London

successful delivery of the Greyhound programme. To be successful as an Engineering Lead, you should have the following essential skills: Knowledge of data lineage, metadata management, and data governance frameworks. Experience with Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern data platforms ...

standards like FHIR, HL7 and SNOMED CT. Data contracts or other shift-left approaches to data quality. Preparing data for AI use: semantic layers, metadata, vector databases or exposing data to AI agents. Using AI-assisted tools to build, test or document pipelines, and judging when their output ...

deliver value through our projects. You’ll also be introduced to our Data & AI Operating System, Seriös ONE, which is our AI-enabled, metadata-driven operating model that significantly improves speed, quality, engineering output and cost efficiency. As you build your confidence and are ready to take the next step ...

accurate, complete and reliable. Use Git and CI/CD to develop, test and deploy analytics code through controlled environments. Maintain clear documentation, ownership, metadata, business definitions, lineage and access controls for analytical data products. Optimise data models, transformations and queries for performance, scalability and cost efficiency. Build strong, productive ...

ensuring compliance with data standards, policies, and GDPR requirements. Manage and maintain master data, driving consistency across integrated systems and processes. Develop data definitions, metadata, and reporting standards to create a trusted "single source of truth". Partner with stakeholders across Supply Chain, Production, Maintenance, Quality, and Engineering to align ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

/Defined Contribution and pension calculations Azure SQL Managed Instance and on-premises SQL Server environments SQL Server administration and environment maintenance Data governance, metadata management and data quality frameworks XML, HTML, XSLT or content management systems Excel macros or other scripting and programming languages Agile delivery methodologies Relevant professional ...

Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery: Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails ...

PostgreSQL or comparable enterprise platforms. Exposure to Spark-based processing, orchestration frameworks, CI/CD, containers and cloud data services. Familiarity with semantic layers, metadata management and development of governed, AI-ready data products. Understanding of data governance, privacy, security, lineage and retention expectations. Experience in financial services, audit, risk ...

practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data modelling, data products, pipelines and semantic models, including data governance, metadata, lineage, quality and entitlement considerations. Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing ...

data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong data governance, metadata management and security controls What they're looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/data ...

across cloud-based and on-premises environments. Apply software engineering and DataOps principles to improve deployment, automation, monitoring and reliability. Support data quality, governance, metadata management and security requirements. Collaborate with technical teams and stakeholders to deliver robust data solutions that meet business and operational needs. What We're Looking ...

product and senior stakeholders, and helping them with data-related technical issues Designing conceptual, logical and physical data models for the new platform Building metadata-driven pipelines across Azure Synapse, Data Factory and PostgreSQL using Python and PySpark Migrating data from legacy reporting solutions onto the platform while protecting data ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

Evaluate and introduce new tools, frameworks, and technologies where they deliver genuine value Build robust, production-grade solutions rather than proofs of concept Treat metadata, lineage, observability, governance, data quality, and security as first-class engineering concerns Diagnose and resolve complex data and platform issues in challenging enterprise environments Contribute ...

Have Experience with TypeScript or JavaScript Experience contributing to frontend applications (React) Familiarity with observability tooling (logging, monitoring, tracing) Experience with data modelling and metadata management Exposure to CI/CD practices for data pipelines and services Experience working in delivery-focused, agile environments Please note: We offer flexible hybrid ...

readiness activities related to market settlement reforms.**Data Management & Governance*** Define and implement enterprise data governance frameworks, controls, and quality standards.* Establish data lineage, metadata management, data ownership models, and stewardship processes.* Lead data quality assessments and remediation initiatives across trading and settlement platforms.* Collaborate with technology teams to optimize ...

Define Data Ownership, Data Stewardship, RACI and decision rights. Establish governance forums, councils and escalation mechanisms. Define and implement governance processes covering: Data Quality Metadata Management Business Glossary Data Classification Data Ownership & Stewardship Data Controls Master & Reference Data Define governance KPIs and maturity measures. Drive adoption of governance practices across ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have · Experience with Informatica ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have · Experience with Informatica ...

Cloud, Service Cloud, Revenue Cloud and Data Cloud Configuring and customising Salesforce using Apex, Lightning Web Components, Flows, Validation Rules, process automation and Custom Metadata Building scalable integrations between Salesforce and other platforms (Informatica, ERP, MDM, marketing automation, eCommerce, customer support and data platforms) using REST, SOAP, Platform Events ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

analytics tools, such as Azure Synapse. Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management (Metadata Driven Ingestion). Good working experience of database technologies and database integration, such as SQL, Postgres, MySQL or Oracle. Experience ...

transformed layer of data so it supports AI, reporting, analytics, and operational use cases Create clear standards for definitions, field names, reference data, and metadata to improve consistency and reuse Design Review Review requirements and identify impacts on the Data & Analytics products, providing technical expertise and guidance. Technical Representation Represent ...