1 to 25 of 153 Metadata Jobs in the UK excluding London

promote the value of data across business and technology teams. Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices. Maintain comprehensive architecture documentation for metadata, data lineage, and data governance. Essential Skills & Qualifications Extensive experience architecting enterprise data solutions and designing scalable data platforms. Proven expertise in data modeling (conceptual, logical, physical), metadata management, and More ❯

and data governance Implement data 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 technical concepts effectively to both More ❯

problems. Key responsibilities: Data Platform Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging, monitoring and alerting tools to manage the … Spark. Proven experience working with Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark … Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality Checks, Master Data Management. Experience using Azure DevOps to manage tasks and CI/CD deployments within an Agile framework, including utilising Azure Pipelines (YAML), Terraform, and implementing effective release and branching strategies. Knowledge of More ❯

data quality, integrity and compliance with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and architecture documentation Support reporting and analytics initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

data quality, integrity and compliance with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and architecture documentation Support reporting and analytics initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

data quality, integrity and compliance with governance policies and regulatory standards. Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security. Develop and maintain data lineage, metadata and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

with project managers and stakeholders, translating technical concepts for non-technical audiences. Run client advisory sessions and online enablement workshops focused on modern data tools, including Power BI and metadata-driven solutions. Provide guidance and mentoring to junior team members on project delivery standards and best practices. Data Engineering & Infrastructure: Develop and maintain scalable data pipelines and integration solutions using … modern cloud technologies. Identify opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks. Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and resolve data flow and system issues, collaborating closely with technical and More ❯

a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data … within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling. Ability to More ❯

initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance … to life the outcomes rather than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. More ❯

initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance … to life the outcomes rather than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and More ❯

data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight Version Control (Gitlab) and CI/CD Familiar with security and networking principles, especially in an More ❯

functional teams effectively. It would be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. You can expect ongoing skills More ❯

SQL Server) to cloud-native solutions. Ability to communicate complex technical concepts to senior business stakeholders , influencing decision-making and strategic direction. Deep knowledge of data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/CD, Terraform More ❯

functional teams effectively. It would be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday More ❯

as-code pipelines. Platform Modernisation : Drive shift from batch ETL to event-driven streaming; partner with cloud-engineering on Snowflake, Kafka, K8s. Vendor & Tooling Strategy : Rationalise BI, MDM, and metadata tooling; negotiate enterprise licences. Leadership & Change : Build and mentor a 20-30 FTE cross-location data-architecture guild; embed OKRs and agile ways of working. Profile We’re After More ❯

client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯

EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning, capacity planning, and environment optimization. Collaborate with infrastructure teams for system … line utilities. Solid experience with AWS services (EC2, RDS, S3, Route 53, etc.). Expertise with Oracle and MS SQL Server databases. Demonstrated experience in enterprise data governance and metadata management. Ability to analyze and resolve complex technical issues. Strong stakeholder management and communication skills. Desirable: Informatica IDQ Developer/Admin certification. Experience with ETL, Active Directory integration, Chef, and More ❯

and warehouse subject areas (TSA/WDA) for accurate reporting. Work closely with business stakeholders, functional leads and technical teams to identify reporting needs. Provide governance around report development, metadata management and version control. Optimize performance of BI reports and ensure alignment with data security and compliance policies. Mentor and support teams in self-service BI capabilities across OTBI and … Fusion Cloud BI/Reporting. Expertise in Oracle OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and documentation skills. More ❯

that aligns with regulatory and business goals. Lead the implementation of a Data Catalogue and Governance Suite (e.g., Collibra, Alation, Informatica). Design and maintain data models, lineage, and metadata standards. Collaborate with business and enterprise stakeholders to establish data ownership and governance. Enable a Data-Driven Operating Model (DDOM) – embedding data literacy and strategy across the organisation. Support the More ❯

data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an More ❯

Senior Support Data Engineer Contract: Full-time, Permanent Salary: Up to £60,000 + Benefits + Bonus Location: Remote (2 days per month in Nottingham) About the Role My client is on the lookout for a talented Senior Data Engineer More ❯

cataloguing 🧩 What You’ll Do: Lead the development and implementation of data quality , governance , and master data management (MDM) frameworks Define and enforce standards for data classification , lineage , and metadata management Collaborate with Data Engineers to ensure robust data pipelines and warehouse architecture Evaluate and implement data governance tools (e.g. Microsoft Purview) and integrate them into the broader data ecosystem … data management roles Knowledge of Snowflake , Azure , and modern data platforms Strong understanding of data profiling , data migration , and pipeline integration Familiarity with data classification models , lineage tracking , and metadata frameworks Excellent communication skills and the ability to influence stakeholders at all levels Nice to have: Experience implementing governance tools like Microsoft Purview Knowledge of regulatory compliance frameworks (e.g. GDPR More ❯