1 to 25 of 233 Metadata Jobs in the UK

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. ...

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 ...

Title: Metadata LeadTarget Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Up to £80k Location: Eastleigh or Reigate , Hybrid working with travel to Ageas offices when required. Metadata Lead: At Ageas, we are on a mission to unlock the full value of our data, and we are looking … experienced Metadata Lead to play a pivotal role in making this a reality. This is a unique opportunity to take ownership of our 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 ...

Title: Metadata LeadTarget Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Up to £80k Location: Eastleigh or Reigate , Hybrid working with travel to Ageas offices when required. Metadata Lead: At Ageas, we are on a mission to unlock the full value of our data, and we are looking … experienced Metadata Lead to play a pivotal role in making this a reality. This is a unique opportunity to take ownership of our 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 ...

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 ...

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 ...

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 ...

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 ...

expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. ...

equivalent BI/visualisation tools Understanding of data pipeline design, ETL/ELT patterns, and orchestration approaches Knowledge of data governance, quality frameworks, and metadata management Beneficial Experience with Python for data engineering or analytics Exposure to ML/AI implementation in production environments Understanding of real‐time data processing ...

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 ...

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 ...

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 ...

with cloud data platforms (AWS data services, Azure data services) including cost management and optimization • Knowledge of data quality frameworks, data governance practices, and metadata management Understanding of data pipeline architecture, ETL/ELT patterns, and data modelling principles Familiarity with infrastructure as code (Terraform) and CI/ ...

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/ ...

open table formats (Apache Iceberg, Delta Lake), data observability tools, and real-time/streaming architecturesExperience with data governance frameworks, data quality tools, metadata management, and ensuring compliance with security and regulatory requirementsPersonal AttributesStrong business acumen with ability to translate business requirements into technical architecture and understand how data enables ...

methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production support Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls Excellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business ...

ThoughtSpot. Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. Define, embed, and champion data engineering best practices and standards, while driving ...

ThoughtSpot. Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. Define, embed, and champion data engineering best practices and standards, while driving ...

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 ...

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 ...

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 ...

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 ...