1 to 25 of 296 Permanent 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 ...

accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management activities related to data ...

Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data ...

data is well structured, understood and trusted. Work alongside colleagues responsible for data governance and business stakeholders to improve data quality, ownership, lineage and metadata across Phoenix UK. Evaluate emerging capabilities within Microsoft Fabric, Azure and the wider AI ecosystem, identifying opportunities to improve the platform and accelerate value delivery. ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

Lead Architect in AI Data programmes, preferably within banking or financial services. Strong understanding of data architecture (data lakes, lakehouse, data warehouses, streaming, metadata, governance). Hands‐on experience with AI/ML/GenAI architectures, including model lifecycle management and MLOps. Experience designing solutions on cloud platforms (AWS, Azure ...

DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code.Expertise in data modelling, data warehousing, and master data management principles.Strong understanding of data governance, metadata management, and data quality frameworks.Desirable Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge ...

/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data Engineering Remain ...

data governance controls within engineering solutions. • Support data quality monitoring, issue resolution, and continuous improvement. • Contribute to and maintain technical documentation, data lineage, and metadata artefacts. • Ensure compliance with data security, privacy, and regulatory requirements. Continuous Improvement: Promote modern engineering and delivery practices across the data team. Introduce automation, optimisation ...

storage, relational DBs, APIs, event streams) and implement robust ingestion patterns. Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing). Create clear documentation for pipelines, data contracts, and operational runbooks. Leverages enterprise-authorized AI coding assist tools within the work environment to improve ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

engineer data pipelines to be scalable, robust, automatable, and repeatable - Navigate, explore and query large scale datasets - Build processes supporting data transformation, data structures, metadata, dependency and workload management - Identify and resolve data issues including data quality, data mapping, database and application issues - Implement data flows to connect operational systems ...

lead with data engineering best practices including code quality, testing, CI/CD, and documentation standards.Lead the implementation of data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements.Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance ...

data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics.AI: You have a deep expertise or experience of AI, specifically ...

technical and non-technical stakeholders. Experience in managing multiple client environments, ensuring stability and performance optimisation. Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices. Exposure to IT Service Management (ITSM) tools like ServiceNow. Knowledge of monitoring tools like Azure Monitor and Log Analytics. What makes us greatAlongside ...

technical and non-technical stakeholders. Experience in managing multiple client environments, ensuring stability and performance optimisation. Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices. Exposure to IT Service Management (ITSM) tools like ServiceNow. Knowledge of monitoring tools like Azure Monitor and Log Analytics. What makes us greatAlongside ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial ...