1 to 25 of 164 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 ...

Azure Data Factory Define data modelling strategies, including dimensional modelling, enterprise data models and lakehouse patterns Establish architectural standards around data governance, security, metadata, lineage and data quality Act as a design authority, reviewing and assuring technical solutions across delivery teams Work with engineering teams to ensure architectures are practical ...

delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service. Key responsibilities include: * Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. * Taking architectural ownership ...

guide delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service.Key responsibilities include:* Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption.* Taking architectural ownership ...

/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 ...

governance through automated validation and monitoring. Optimise data processing performance and troubleshoot production data pipelines. Collaborate with architecture and governance teams to implement security, metadata and data lineage. Contribute to CI/CD, Infrastructure as Code, automated testing and DevOps best practices. Essential Skills Proven experience as an Azure Data ...

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 ...

Palantir Gotham Strong experience building data pipelines, ETL processes, and automated workflows Experience ingesting, transforming, enriching, and integrating complex datasets Knowledge of data governance, metadata management, data quality, and lineage Experience working with batch, streaming, real‐time, and unstructured data Strong understanding of data modelling and Ontology design Experience designing ...

experience designing scalable data models. Strong Power BI development experience, including semantic modelling and DAX. Good understanding of data governance, data quality and metadata management. Experience building modern data platforms and analytics solutions. Strong stakeholder management and communication skills. Ability to translate business requirements into robust technical solutions. Experience working ...

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 ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/ ...

Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture and solution design capability Experience leading complex cloud transformation ...

applications. Experience with Power BI, QuickSight, or similar tools for analytics. Adherence to ETL/data management best practices (e.g., incremental loads, error handling, metadata logging). Knowledge of data protection regulations (GDPR, CCPA) and security protocols (encryption, RBAC). Agile/SCRUM practitioner with experience in offshore team collaboration. ...

Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives. Hybrid working: The places that you work … platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from legacy repositories ...

Palantir Foundry and/or Gotham. Strong data engineering background, including ETL, data pipelines and workflow orchestration. Experience with data modelling, governance, lineage and metadata management. Proficiency in Python (TypeScript desirable). Knowledge of SDLC, Git and CI/CD practices. Strong communication skills with the ability to engage business ...

DevOps and test automation Delivery across on-premise, cloud and hybrid environments, including cloud migration programmes Key responsibilities include: Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. Providing architectural direction ...

hybrid cloud environments Implement real time and batch processing pipelines using modern data engineering frameworks Define and enforce data governance standards, including metadata management, data lineage and data quality Ensure compliance with regulatory frameworks such as GDPR and HIPAA Implement encryption, key management and security best practice across all data ...

suite audiences. Hands-on data modelling capability across conceptual, logical and physical layers. Deep understanding of data management -data quality, MDM, reference data, metadata, governance and analytics/BI. Experience defining architecture patterns and applying structured methodologies. Proven ability to document and standardise data semantics , including taxonomies and vocabularies. Experience ...

network topology, entity relationships, dependency mapping, service impact, and fault propagation. Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems. Define network data quality rules, correlation logic, and entity resolution methods. Create reusable analytical models ...

Architecture Enterprise Architecture Solution Architecture Data Architecture Platform Architecture Integration Architecture Data Data governance Data modelling Master data management Data quality frameworks Data lineage Metadata management Authoritative source identification Integration Experience working with: Identity and Access Management platforms Endpoint management tools Asset Management systems Enterprise integrations APIs ETL processes Experience ...

data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem. Promote a Data ...

experience supporting migration to modern platforms such as Databricks, Microsoft Fabric or comparable technologies. Strong understanding of data governance, data ownership, data stewardship, metadata management, data quality standards and assurance frameworks. Job Offer We are a not for profit and operate in the public interest. We are based in Harrogate ...

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 ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...