1 to 25 of 93 Metadata Jobs in London

storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture more »

Legal training experience a plus. * Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). * Proficiency in iManage document management system applications (FileSite, iManage, Work more »

have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/Big Data/EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue) Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting more »

have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/Big Data/EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue) Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting more »

solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing and metadata management from ideation to deployment. • Experience with major cloud platform-AWS. • Experience in Informatica IDMC (CDI and CAI). • Ebsuring Engineering practices are followed • Excellent more »

solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing and metadata management from ideation to deployment. • Experience with major cloud platform-AWS. • Experience in Informatica IDMC (CDI and CAI). • Ebsuring Engineering practices are followed • Excellent more »

Architect in a blue-chip Financial environment. Good communication skills, Stakeholder Management. Experience of defining the data architecture framework, standards and principals, including modelling, metadata, security, reference data. Hands on experience in ETL, ELT patterns Experience in implementing Data Lineage Defining reference architecture & data flows. If you are looking for more »

Architect in a blue-chip Financial environment. Good communication skills, Stakeholder Management. Experience of defining the data architecture framework, standards and principals, including modelling, metadata, security, reference data. Hands on experience in ETL, ELT patterns Experience in implementing Data Lineage Defining reference architecture & data flows. If you are looking for more »

Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning more »

Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning more »

quality assurance checks. the collaboration with Enterprise Architecture team to design and develop solutions within Collibra to address data governance challenges, including data lineage, metadata management, data quality, and data privacy. What you'll need: experience of Information Governance frameworks. overseeing the entire lifecycle of Collibra implementation, from initial setup more »

quality assurance checks. the collaboration with Enterprise Architecture team to design and develop solutions within Collibra to address data governance challenges, including data lineage, metadata management, data quality, and data privacy. What you'll need: experience of Information Governance frameworks. overseeing the entire lifecycle of Collibra implementation, from initial setup 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 »

Minimum 2 years' experience with Collibra Data Catalog In-depth knowledge of data governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software more »

Insurance Market, particularly Lloyd's Experience building and deploying machine learning pipelines into data engineering pipelines. Experience building Azure DevOps Pipelines. Experience of using metadata driven data engineering approaches for ingestion and transformations within data pipelines. 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 »

applications to support financial planning and reporting. - Staying up-to-date with emerging finance technology trends. - Testing and debugging application processes. - Ensuring data and metadata accuracy across finance applications. - Troubleshooting complex issues and providing guidance to end users. - Integrating technology solutions with other organizational systems. - Keeping applications up-to-date more »

applications to support financial planning and reporting. - Staying up-to-date with emerging finance technology trends. - Testing and debugging application processes. - Ensuring data and metadata accuracy across finance applications. - Troubleshooting complex issues and providing guidance to end users. - Integrating technology solutions with other organizational systems. - Keeping applications up-to-date more »

Creating data models and overseeing the implementation of changes to address evolving business needs. Providing leadership in evaluating and implementing master data management and metadata management solutions. Collaborating with IT operations and delivery teams, producing essential data architecture artifacts. Your responsibilities will also involve: Defining, implementing, and governing data architecture … practices and standards. Creating and managing data models, ensuring alignment with business solutions. Serving as an expert in master data management and metadata management. Developing strategic roadmaps aligned with business and technology goals. Identifying and leveraging business opportunities through innovative data solutions. Keeping abreast of industry trends and regulations to more »

Architect delivers the vision for the organisation as set by the chief data architect. At this role level, you will: Design data models and metadata systems Help chief data architects to interpret an organisation’s needs Provide oversight and advice to other data architects who are designing and producing data more »

anomalies within the data, leveraging your expertise to enhance decision-making processes and optimise the value derived from the data. Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package more »

Jenkins, GitLab CI) Desirable: Experience with analytics tools and frameworks (e.g., Apache Spark, Hadoop). SQL Sagemaker, DataRobot Google Cloud and Azure Data platform metadata driven frameworks to ingest, transform and manage data 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 »

by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorisation systems Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products Use standard agile development more »

by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorisation systems Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products Use standard agile development more »