1 to 25 of 238 Metadata Jobs in the UK

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 ...

model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI-enabled Workflow Identifying opportunities ...

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

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 ...

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

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 ...

designing enterprise ETL/ELT and data integration architectures Strong BI architecture experience (Power BI, Tableau, or equivalent) Solid understanding of data governance, security, metadata, and data quality frameworks Ability to translate complex business requirements into scalable architectures Strong consulting and stakeholder engagement experience Desirable Exposure to AI/ ...

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

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

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 ...

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

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 ...

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 ...

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.\ NAI: You have a deep expertise or experience ...

data initiatives. Data Governance Frameworks: Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage) to ensure data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous ...

proposed solutions. \n\n Skills Required \n Essential: \n \n Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation experience: designing ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions.Data quality/validation experience: designing metrics and KPIs ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics ...

business cases for proposed solutions.\ N\nSkills Required \ NEssential:\ N\nStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.\ NExperience in establishing data analytics and supporting AI solutions.\ NData quality/validation experience: designing metrics ...

business cases for proposed solutions.\ N\nSkills Required \ NEssential:\ N\nStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.\ NExperience in establishing data analytics and supporting AI solutions.\ NData quality/validation experience: designing metrics ...

data initiatives. Data Governance Frameworks: Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage). Critical for ensuring data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation ...

5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City ...

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 ...