10 of 10 Metadata Repository Jobs in England

storage solutions, including data lakes and data warehouses on cloud platforms such as GCP, AWS, and Azure Develop and maintain data models, schemas, and metadata repositories Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Ensure data quality, integrity, and security throughout More ❯

requirements into effective data models. Key Responsibilities: Data Modeling: Design and develop conceptual, logical, and physical data models. Create and maintain data dictionaries and metadata repositories. Ensure data models are aligned with business requirements and objectives. Database Design: Collaborate with database administrators to implement and optimize data models. Develop More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. More ❯

data flows and models. Support data warehouse and business intelligence initiatives by architecting scalable and performance-oriented data platforms. Define and manage data dictionaries, metadata repositories, data lineage documentation, and version-controlled models. Collaborate with engineers, analysts, architects, and stakeholders to identify data requirements and ensure architecture evolves with … SQL DBs, NoSQL DBs). Expertise in data warehousing, ETL/ELT processes, and cloud data ecosystems (Azure, AWS, Oracle, etc.). Familiarity with metadata management and data cataloguing tools. Knowledge of enterprise architecture frameworks (e.g., TOGAF, DAMA-DMBOK). Solid understanding of data privacy regulations (e.g., UK GDPR More ❯

with subject matter experts to develop standards, policy and guidance to protect data. And monitor compliance with policies and standards. Able to maintain a metadata repository to ensure information remains accurate and up to date and complete tasks such as integration impact analysis. You can initiate and monitor More ❯

applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture More ❯

applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture More ❯

role requires strong communication skills to collaborate effectively with both technical and non-technical stakeholders. You will be responsible for data governance, data modelling, metadata management, and ensuring compliance with data standards. Key Responsibilities: 1. Data Architecture & Engineering Design and implement scalable data architectures that align with business objectives. … Governance & Compliance Ensure adherence to data governance policies and regulatory requirements. Monitor and maintain compliance with data standards and security measures. Develop and manage metadata repositories for accurate data tracking and integration. Support data assurance processes and provide recommendations for compliance improvements. 3. Data Analysis & Communication Conduct data profiling … Strong proficiency in Java, SQL, Python, SparkSQL, and PySpark. Experience with Microsoft Power Platform (PowerApps, Power Automate, etc.). Good understanding of data governance, metadata management, and compliance frameworks. Ability to communicate effectively with both technical and non-technical stakeholders. Experience in data modelling, data profiling, and source system More ❯