1 to 25 of 76 Metadata Jobs in the UK with Remote Work Options

use of Common Data Environments (CDE) and/or collaboration software is key as is experience of project delivery and using naming conventions and metadata in document control. Experience and Knowledge of project handover records and requirements would be an advantage as well as an awareness of: Construction contract environment more »

high-quality, accessible data models and stores, including full documentation of source and target maps; provide maintenance of an information and data catalogue and metadata repository; Generating information management testing and quality controls in both new and existing projects, and day to day operations. Knowledge and experience in NEC's more »

management of data governance frameworks. Manage the organizational data risks and issues Manage the data competencies within the organization (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience 3 + years’ experience working within a Data Governance related more »

document the processes clearly. Experience with data architecture and design patterns. Experience managing a data model repository. Experience with coordinating data modelling activities with metadata management. Knowledge of data profiling tools and techniques. Experience with data management and governance principles. Must be able to provide design options, alternatives and recommendations more »

perspective Develop and/or lead the development of complex specifications for #SDTMs and #ADaM datasets Produce/define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs You Will Have BSc in life sciences, mathematics, statistics or related field. Extended #SAS programming more »

management of data governance frameworks. Manage the organizational data risks and issues Manage the data competencies within the organization (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience 3 + years’ experience working within a Data Governance related more »

monthly playlists and coordinate the delivery of tracks. We’re looking for someone to get to know our current roster, be proactive with entering metadata, someone who enjoys refreshing our featured tracks and playlists when new tracks come through. We’re looking for somebody who loves music and is a … organised, meticulous and super proactive - we’d love to hear from you! Responsibilities will include: Manage and maintain the digital catalogues, ensuring all music metadata is accurate and consistently updated. Assist in the acquisition and cataloguing of new music assets. Organise incoming composer track deliveries, update shared spreadsheets and verifying … accuracy. Add metadata and make these tracks available in our relevant Disco libraries. Request album cover artwork, and assist with album, playlists and track titles. Work closely with the legal & registrations team to ensure all music tracks are properly registered and licensed. Organise and conduct regular audits of the music more »

test, and document ETL and ELT solutions. accurate documentation, including lineage, for all solutions. and assess solution performance and suitability. data models, schemas, and metadata repositories. operational data warehouse issues promptly. compliance with standards and controls. user functionality and productivity with new solutions. processes to standardise their data warehouse environment. more »

best practices for data coding to ensure consistency within the system. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Your Profile: Technical key skills/knowledge/experiences: A deep understanding of data structures, database management systems (DBMS), and the ability to design more »

data engineering working with multi-TB scale data solutions implementing cloud-based data and analytics solutions implementing and operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Technical Skills – Deep hands on experience with the following data technologies: Stack including, Azure Data more »

Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run and maintain a cost-effective Azure Cloud reporting infrastructure Work closely with security, data protection and compliance teams to ensure more »

strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »

strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »

in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge more »

document the processes clearly. •Experience with data architecture and design patterns. •Experience managing a data model repository. •Experience with coordinating data modelling activities with metadata management. •Knowledge of data profiling tools and techniques. •Experience with data management and governance principles. •Must be able to provide design options, alternatives and recommendations more »

modularity, reusability, and efficiency - across languages. Understanding full development lifecycle, SDLC concepts, version control, and CI/CD pipelines. Knowledge of data security, governance, metadata management, and master data principles. Communication skills, ability to understand business requirements and translate to technical data solutions Benefits: Base Salary more »

Gateway, Terraform, CI/CD. KEY DUTIES AND RESPONSIBILITIES You will actively contribute to the codebase and participate in peer reviews. Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, S3. As an experienced Engineer, you will play more »

other open source and commercial tools. We are one of the first UK universities to have the capability to capture and ingest full network metadata at 100Gb/s. It is a great time to join the Information Security Operations team as we move towards agile and DevOps practices in more »

can produce, maintain, and update relevant data models for specific business needs. You know how to reverse-engineer data models from a live system. Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You know how to maintain a more »

client who are looking for a senior Data Governance Analyst. Hybrid Working on offer. Skills Needed Understanding and experience with Data Governance topics (ie metadata, Data Domain Model, data ownership, data access, Data Quality, Master Data, data-related policies, Data Governance Forums, etc.) Experience with data analysis and Data modelling … of ToR for data products/use cases Experience with Data tools (eg Data Catalogue) Knowledge on SQL databases Responsibilities Own and manage the metadata enrichment process flows, working with stakeholders to ensure quality of metadata stored Capability to understand the data, by analysing and documenting its logical model Support … the data products and projects in Data Governance topics (eg metadata, Master Data, Data Quality, accesses and permissions, etc.) Define and document policies, procedures and operational standards Support the evolution of the Data Domain Model and keep it updated, by liaising with the business and the Data Team Support the more »

high-quality, accessible data models and stores, including full documentation of source and target maps; provide maintenance of an information and data catalogue and metadata repository; Generating information management testing and quality controls in both new and existing projects, and day to day operations. Knowledge and experience in NEC's more »

enable better automation, integrate with EMBL-EBIs high performance computing and storage resources and develop/implement new functionality, such as extraction of structured metadata from freeform text through LLMs. A key focus of the role will be developing and integrating systems for interactive visualisation of biological images: we aim more »

Microsoft solutions. • Document the current state of the enterprise data architecture, identifying gaps, redundancies, and opportunities for optimization. • Develop and maintain data models, schemas, metadata, and data flow diagrams to support the enterprise architecture. • Establish and enforce data governance policies and standards to ensure data quality, security, and compliance. • Develop more »

Microsoft solutions. • Document the current state of the enterprise data architecture, identifying gaps, redundancies, and opportunities for optimization. • Develop and maintain data models, schemas, metadata, and data flow diagrams to support the enterprise architecture. • Establish and enforce data governance policies and standards to ensure data quality, security, and compliance. • Develop more »

data model's integrity, accuracy, and compliance. You will support the development and adherence to data governance policies, focusing on data quality, lineage, and metadata management to uphold the data assets' integrity and reliability. Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. Conduct exploratory more »