1 to 25 of 69 Metadata Jobs in England 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 »

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 »

Strong Data Analysis skills; * Data Platform Modernisation; * Data Migration; * Data Security (at-rest/in-transit); * Architecting Data Pipelines; * Data Modelling and Database Design; * Metadata Management; * Stakeholder Management & Data Governance; * Excellent communication skills; * Willingness to learn and expand your Data and architectural skills. * Pre-sales content contribution and pricing for 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 »

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 »

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 »

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 »

Developing and maintaining objects within Data Warehouses/Lakehouses. Experience of working with business data domains/data as a product (Data Mesh). Metadata management/Data quality Microsoft Office 365 Experience performing root cause analysis on internal and external data and processes to answer specific business questions and more »

solutions. Monitor and evaluate solution performance and suitability. Ensure the planned architecture of the Data Warehouse environment is delivered. Maintain data models, schemas, and metadata repositories. Monitor and maintain operational data warehouse builds, resolving issues promptly. Identify and escalate potential quality issues or performance risks during monitoring. Assure that developed 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 »

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 »

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 »

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 »

solutions. Monitor and evaluate solution performance and suitability. Ensure the planned architecture of the Data Warehouse environment is delivered. Maintain data models, schemas, and metadata repositories. Monitor and maintain operational data warehouse builds, resolving issues promptly. Identify and escalate potential quality issues or performance risks during monitoring. Assure that developed 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 »

Gathering, translating customer needs into technical designs. Obtaining and validating business rules and reporting requirements using various techniques. Leadership in defining business and technical metadata Supporting data quality improvement plans through the development and automation of exception reports. Management of projects to deliver data and information supporting regional and corporate more »

Gathering, translating customer needs into technical designs. Obtaining and validating business rules and reporting requirements using various techniques. Leadership in defining business and technical metadata Supporting data quality improvement plans through the development and automation of exception reports. Management of projects to deliver data and information supporting regional and corporate more »

Gathering, translating customer needs into technical designs. Obtaining and validating business rules and reporting requirements using various techniques. Leadership in defining business and technical metadata Supporting data quality improvement plans through the development and automation of exception reports. Management of projects to deliver data and information supporting regional and corporate 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 »