1 to 25 of 80 Permanent Metadata Jobs in the UK excluding London

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 »

and optimising data management processes. Experience required At least 3 Years Data Architect experience/similar Strong understanding of data warehousing, data modelling and metadata management Experience with ETL pipelines, database design principles, data visualisation tools e.g., Power BI Cloud-based technologies (AWS/GCP/Azure/Cosmos) Knowledge 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 »

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 »

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 »

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 »

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 »

ETL and ELT solutions. Ensure accurate documentation, including lineage, for all solutions. Monitor and assess solution performance and suitability. Maintain data models, schemas, and metadata repositories. Address operational data warehouse issues promptly. Ensure compliance with standards and controls. Enhance user functionality and productivity with new solutions. Improve processes to standardise 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 »

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 »

opportunities for process improvements and provide recommendations to enhance data governance initiatives. Stay updated with industry trends and best practices in data governance and metadata management. Analyse information security risks and address issues of non-compliance. Required Skills & Qualifications: 2+ years' experience with Microsoft Purview or previous iterations live Azure 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 »

industry, recognising opportunities for the reuse and alignment of data models in different organisations design the method to categorise data models within an organisation Metadata management design an appropriate metadata repository and present changes to existing metadata repositories understand a range of tools for storing and working with metadata provide 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 »

of successfully executing projects across diverse business sectors, stakeholder dynamics, procedural intricacies, and technological hurdles. Expertise in business analysis, data management encompassing quality assurance, metadata oversight, data structuring, and governance. Proficiency in SAS or Python to extract insights and drive informed decision-making. Familiarity with AWS. Exceptional proficiency in both more »