1 to 25 of 146 Metadata Jobs in the UK excluding London

Metadata Lead - HYBRID Metadata Lead This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed and trusted across the organisation. As the Metadata Lead, you will own the vision and roadmap for our metadata tooling landscape, including Collibra and Unity Catalog … technical and regulatory needs into scalable, business-focused solutions while driving adoption, value realisation and continuous improvement. This is an exciting opportunity for a metadata leader ready to drive real business value through data. Main Responsibilities as Metadata Lead: Design, own and deliver the metadata roadmap. Lead Collibra and Unity ...

systems. Support enterprise-wide data interoperability and data sharing initiatives. Data Quality, Governance & Security Implement data quality controls and validation processes. Support data governance, metadata management and data lineage initiatives. Ensure data solutions comply with security, privacy and regulatory requirements. Work closely with governance and security teams to embed best ...

Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products. Own security architecture for data ...

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake Formation, and aligned standards for trusted, auditable data products. ...

Title : Metadata Lead Target Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Competitive Location: Eastleigh, Hybrid working with travel to Ageas offices when required. Closing Date for applications: Friday 3rd July Metadata Lead: At Ageas, we are on a mission to unlock the full value of our data … looking for an experienced Metadata Lead to play a pivotal role in making this a reality. This is a unique opportunity to take ownership of our enterprise metadata capability, shaping how data is discovered, governed and trusted across the organisation. As the Metadata Lead, you will own the vision ...

Metadata Lead Job Title: Metadata Lead Start Date: ASAP Contract Type: Permanent, Full Time Salary: upto £80,000 Location: Fareham, once every 2 weeks About the Role We are on a mission to unlock the full value of data and are looking for an experienced Metadata Lead to play … pivotal role in making this a reality. This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed, and trusted across the organisation. As the Metadata Lead , you will own the vision and roadmap for the metadata tooling landscape, including Collibra ...

Metadata Lead Job Title: Metadata Lead Start Date: ASAP Contract Type: Permanent, Full Time Salary: upto £80,000 Location: Fareham, once every 2 weeks About the Role We are on a mission to unlock the full value of data and are looking for an experienced Metadata Lead to play … pivotal role in making this a reality. This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed, and trusted across the organisation. As the Metadata Lead , you will own the vision and roadmap for the metadata tooling landscape, including Collibra ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud ...

scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. Develop transitional data architectures and road maps in alignment with Omnia digital transformation ...

innovative, customer‐focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers ...

Defining and implementing data governance frameworks, standards and operating models • Data ownership, stewardship, accountability and governance structures • Data quality frameworks, controls, metrics and monitoring • Metadata management, data lineage and data catalogue solutions • Master Data Management (MDM) • Data warehouse and data lake architecture • Data integration, ETL and ELT principles • Cloud-based ...

pipelines using PySpark, SQL and orchestration frameworks Automate and modernise legacy data processes with reusable patterns Design robust data models (Delta Lake, schema evolution, metadata, lineage) Ensure data security, governance, and compliance (access control, encryption, lifecycle) Provide technical leadership, mentoring and design reviews Collaborate with stakeholders to translate complex technical ...

Azure (Data Factory, Blob Storage, DevOps) Power BI or other BI tools CI/CD tools (dbt Cloud, GitHub Actions, pipelines) Data governance and metadata management Benefits: Hybrid and flexible working Private healthcare Pension scheme Career progression opportunities Collaborative and supportive environment Regular team events Apply Now! Cherry Professional ...

workloads Expertise in streaming data architectures, event-driven systems and real-time data processing patterns Strong understanding of data modelling, data quality, metadata management, governance and data platform best practices Experience implementing software engineering best practices including CI/CD, automated testing, infrastructure-as-code and observability Demonstrated ability ...

workloads Expertise in streaming data architectures, event-driven systems and real-time data processing patterns Strong understanding of data modelling, data quality, metadata management, governance and data platform best practices Experience implementing software engineering best practices including CI/CD, automated testing, infrastructure-as-code and observability Demonstrated ability ...

Platform (ADF, Synapse, Fabric, ADLS) Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines) Power BI (semantic models, enterprise dashboards, self-service BI) Drive adoption of: Metadata-driven architectures Automation, orchestration, and reusable frameworks Ensure separation and optimisation of data engineering, analytics, and AI workloads 6. Consulting & Delivery Leadership Lead ...

Platform (ADF, Synapse, Fabric, ADLS) Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines) Power BI (semantic models, enterprise dashboards, self-service BI) Drive adoption of: Metadata-driven architectures Automation, orchestration, and reusable frameworks Ensure separation and optimisation of data engineering, analytics, and AI workloads 6. Consulting & Delivery Leadership Lead ...

physical data models for operational, analytical, and AI use cases Providing architectural oversight and design assurance across delivery teams Supporting data governance, lineage, metadata management and data quality initiatives Contributing to long-term architecture roadmaps and investment planning This is an excellent opportunity to join an organisation undergoing significant data ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

develop a high‐performing team of Data Engineers and Data Analysts, setting clear expectations for delivery quality and technical excellence. Embed data quality controls, metadata and lineage requirements into engineering workflows in partnership with the Data Governance & Quality Lead. Collaborate with operational, tooling and transformation teams to translate business requirements ...

Power BI and DAX capabilities, including advanced measures and calculations. Experience supporting data migration, data cleansing, or data transformation initiatives. Exposure to data governance, metadata management, and master data processes. Ability to bridge the gap between technical teams and business stakeholders. A proactive approach to improving data quality, reporting processes ...

user stories and acceptance criteria. Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded. Value Realisation Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives). Monitor KPIs and value metrics to ensure ...