1 to 25 of 641 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 ...

future scalability.Experience assessing data quality across source systems and defining practical remediation approaches, including profiling, rule definition, issue management and ownership.Strong understanding of metadata management, including business metadata, technical metadata, operational metadata, lineage, cataloguing, enterprise metadata models and integration with wider data governance.Ability to map dependencies across technology, process, people … roadmap development and production of client-facing deliverables.DesirableExperience working with UK public sector organisations or similarly complex, regulated environments.Experience delivering MDM, data governance or metadata management work within central government, healthcare, housing, education, policing, defence or wider public services.Experience with Microsoft Fabric and its interaction with Purview, OneLake, Power ...

DataOps, DevOps, CI/CD, and Infrastructure as Code Experience with data modelling, data warehousing, and master data management Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar Excellent stakeholder management ...

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 ...

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 ...

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. ...

with the ability to design innovative solutions to complex data challenges. Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management. Skilled in leading the lifecycle of production-grade data products, from conceptual modelling to deployment and continuous optimization Familiarity with ...

lakehouses, data virtualisation and distributed data architectures.Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind.Embed data governance, data quality, metadata management and security principles into solution designs.Work with both structured and unstructured data across a range of technologies and platforms.Collaborate with engineering, analytics, data science ...

structured data platforms.Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.Strong understanding of data modelling, database design, metadata management, and data architecture principles.Experience implementing data quality, governance, and assurance practices.Experience supporting reporting, analytics, and business intelligence solutions.Understanding of information security, cyber security ...

target data warehouses.Experience performing data profiling, root-cause analysis, data quality assessments, exception resolution, and reconciliation activities.Understanding of data governance concepts including data quality, metadata management, data cataloging, lineage, stewardship, controls, and ownership.Strong understanding of relational data models, dimensional data modeling concepts, and data warehouse architectures including fact and dimension ...

Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation ...

Microsoft 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 Modelling ...

providing ongoing 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 management ...

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 ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical concepts into ...

required.Governance, Security and Data ManagementExperience designing within structured architectural governance frameworks.Familiarity with government assurance processes and design authorities.Strong understanding of data governance frameworks and metadata management.Experience designing for GDPR and UK public sector data protection requirements.Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.Stakeholder EngagementAbility to influence architectural ...

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. ...

Secure Government Data Architecture Practice. About you Technical Expertise Enterprise Data Architecture. Solution Data Architecture. Data Strategy. Information Architecture. Data Modelling. Data Governance. Metadata Management. Master Data Management. Data Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory ...

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 ...

cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration ...

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 ...

clients address their biggest data challenges, focusing on establishing robust data governance frameworks, improving data quality, managing data migrations, and implementing effective master and metadata management strategies.Our projects vary greatly and your responsibility will differ based on your level, experience and the focus of the client engagement, but could include ...

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 ...

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 ...