1 to 25 of 45 Metadata Jobs in London with Remote Work Options

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 »

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 »

big data' pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/ 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 »

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 »

geo-enabled applications and graph database structures, using knowledge of various data formats including XML, JSON, flat file, Parquet etc. You can also manage metadata across your development teams systems and beyond, with a practitioner knowledge of tracking data provenance and data lineage. You’ll work to agreed and recognised more »

geo-enabled applications and graph database structures, using knowledge of various data formats including XML, JSON, flat file, Parquet etc. You can also manage metadata across your development teams systems and beyond, with a practitioner knowledge of tracking data provenance and data lineage. You’ll work to agreed and recognised 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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

to-day work including managing data migrations and various data governance activities, and delivering various change programmes to support data transformation, data structures and metadata for both structured and unstructured data. You will also provide training to more junior members of the team to build capability. This is a unique more »

to-day work including managing data migrations and various data governance activities, and delivering various change programmes to support data transformation, data structures and metadata for both structured and unstructured data. You will also provide training to more junior members of the team to build capability. This is a unique more »