26 to 50 of 166 Metadata Jobs in the UK

solutions Ensuring data quality, security, and GDPR compliance Providing technical coaching and mentoring to data professionals Evaluating emerging data technologies and recommending adoption Supporting metadata management and Master Data Management (MDM) initiatives What you'll need to succeed Data modelling Data dictionaries Good understanding of data architecture and principles Exposure ...

scalable data matching engines rather than traditional reporting or BI. You will engineer resilient, production‐grade systems capable of processing high‐frequency voice metadata and transactional records at scale , ensuring accuracy, determinism and auditability in compliance controls. You will join a team responsible for delivering mission‐critical compliance technology across ...

published national definitions and guidance (e.g., MHSDS and other national returns). Experience implementing or operating data governance approaches (e.g., data quality frameworks, metadata/cataloguing, KPI dictionaries, documentation and change control). Skills/Knowledge/Ability Essential Excellent communication skills, including the ability to present complex, sensitive ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

database structures Develop data lineage, mapping, and flow across complex system landscapes Collaborate with architects and engineers on data pipelines, integration patterns, and metadata frameworks Ensure compliance with ESG regulations and data governance standards (e.g., BCBS239) Support agile delivery, including user story definition, testing, and validation Profile 10+ years' experience ...

implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track ...

data products in Snowflake Build and support batch, micro-batch, and streaming pipelines Collaborate with infrastructure and development teams to deliver optimised solutions Maintain metadata, data quality standards, and platform documentation The Person: Experience building data pipelines using tools such as AWS Glue, FiveTran, and DBT Strong SQL and Python ...

products Experience designing taxonomies, ontologies, or structured labeling systems Understanding of enterprise data products and user workflows Experience working with data discovery platforms or metadata systems Knowledge of Bloomberg Enterprise Data Experience in Agile/Scrum environments If indicated, please note that years of experience are a guide; we will ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI‐driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

modelling, governance and performance), with experience modernising from legacy MSBI where applicable. Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns, metadata/lineage, data quality, and governance. Working knowledge of non‐Microsoft tools/platforms (for example Databricks, Snowflake, Tableau, Qlik, SAP BusinessObjects) to help clients … prep/automation tooling (for example Alteryx or Power Platform). Experience with data warehouse automation tools (for example WhereScape RED) and/or metadata/governance tooling (for example Microsoft Purview). Non‐Technical Skills Proven ability to build trusted relationships with senior stakeholders and act as a credible ...

data quality tooling • Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution • Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans • Oversee ...

translating control requirements to required activities. Preferred qualification, skills and capabilities Knowledge of data management capabilities, such as lifecycle management, data quality (DQ) management, metadata management, data classification, data lineage, data privacy or data integration. Knowledge of data management technologies (e.g. data retention, data integration, data visualization, analytics) and integration ...

wider data capability. What You’ll Be Doing Designing enterprise-scale data architectures across complex transformation programmes Leading on data modelling, data flows, metadata management, governance, migration, and transformation Working closely with clients to define scalable, fit-for-purpose data solutions Providing technical leadership across delivery teams and wider architecture ...

workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data ...

integration and data transformation. Experience with Azure integration technologies such as Data Factory , Logic Apps , or API Management . Understanding of data governance, metadata, and data-quality frameworks. Experience with DevOps and CI/CD workflows. Desirable Skills Experience with ERP/CRM integration. Exposure to event-driven architectures. Experience ...

evolution of data architecture, integration, and data products across core systems. Ensure the data estate supports scalable analytics/AI (reliable pipelines, governance, standards, metadata, lineage). Drive simplification and interoperability across fragmented systems and spreadsheets. AI Delivery & MLOps Build repeatable delivery capability (product-based delivery, agile ways of working ...

cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data ...

cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data ...

Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based ...

/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture … experience designing ETL/ELT pipelines, medallion architectures, and semantic models. Strong proficiency in SQL, Python, and cloud-based data engineering tooling. Experience with metadata and governance tools (Purview, Unity Catalog, Snowflake Governance, Fabric Governance). Experience designing data platforms to support analytics, BI, operational reporting, and AI/ ...

Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective … Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In‐depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud ...

architectural assurance and constructive challenge within change delivery Collaborate with engineering and delivery teams to ensure scalable and sustainable solutions Promote strong data governance, metadata, lineage, and quality practices Support architecture maturity and embed architectural best practice across the organisation Desirable Experience Experience within regulated environments Understanding of data retention ...

Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Document lineage across AWS S3, Hive Metastore, Unity Catalog and downstream consumption layers. Required Skills ...

experience within the UK Healthcare sector or UK Public Sector. Advanced technical design skills in key data architecture areas, including data modelling, data analysis, metadata management, data transformation, data migration, and master data management. Demonstrated ability to provide technical leadership on data projects, including quality assurance, mentoring, and defining standards. ...