1 to 25 of 118 Permanent 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 ...

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 ...

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 ...

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 ...

communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (e.g., Data Engineer, Data Analyst, Machine ...

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 ...

that reporting solutions are fully documented, auditable and maintainable and handed over to the BAU BI team on completion. Maintain a data dictionary/metadata catalogue defining report measures, calculations and business rules consistently across the reporting suite, reducing the duplicate-definition problem the EPR review is meant to fix. ...

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/ ...

enterprise environment. Hands-on experience producing conceptual and logical data models, data flows and interface designs. Deep knowledge of data governance, data quality, security, metadata, cataloguing and master and reference data management. Experience defining enterprise data architecture principles, standards, patterns and target-state roadmaps. Strong stakeholder communication skills, with experience ...

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. ...

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. ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

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 ...

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 ...

translate business processes and requirements into strategic data solutions. Experience identifying and leveraging existing enterprise architecture patterns. Strong understanding of data lineage, data quality, metadata, ownership and governance. Experience designing solutions across complex legacy and modern data environments. Knowledge of Oracle, SQL, MongoDB, APIs and ETL/integration patterns. Strong ...

Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift ...

teams Support the development of modern cloud-based data platforms and reporting solutions Contribute to data transformation and modernisation initiatives Document data structures, relationships, metadata, and modelling artefacts Promote architecture best practice and data governance standards across the organisation Develop architecture knowledge and progress towards a Data Architect career path ...

refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What ...

Essential Skills & Experience Proven experience in data governance, product data management, or data stewardship roles. Strong understanding of data modelling, data dictionaries, and metadata management. Hands-on experience managing product specification data (e.g., BOMs, attributes, technical specs). Familiarity with ERP systems (e.g., SAP, Oracle, Dynamics) and how they handle ...

taking an organisation from fragmented/siloed data towards an enterprise data architecture. - Strong knowledge of data architecture, data engineering, interoperability, data governance, metadata, lineage and data-quality management. - Significant experience of managing specialist technology/data suppliers and acting as an intelligent client. - Strong understanding of information governance, security ...

technical teams and senior business stakeholders. Experience across areas such as Medallion Architecture, Microsoft Purview, data governance, Python/PySpark, real-time/streaming, metadata-driven engineering or AI-enabled data products would be advantageous, but we're not expecting one person to tick every box. Why Join? This ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...