1 to 25 of 337 Metadata Jobs in the UK

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 ...

Data Platform Services Working knowledge of the alternative cloud platform Experience designing modern Lakehouse architectures and enterprise data platforms Strong understanding of data governance, metadata management, lineage, security, privacy, and compliance frameworks Experience developing enterprise data strategies, architecture roadmaps, and governance standards Strong stakeholder engagement, consulting, and communication skills Experience ...

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 ...

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. ...

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 ...

Knowledge of regulatory frameworks eg FCA PRA GDPR Experience with cloud data platforms Azure AWS GCP Exposure to Agile Scrum delivery methodologies Experience with metadata management and data lineage tools Data EDO Personal Attributes Strong analytical and problem solving capabilities High attention to detail and data accuracy Excellent communication ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 modeling principles Familiarity with infrastructure as code (Terraform) and CI/ ...