1 to 25 of 34 Permanent Metadata Jobs in the UK excluding 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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

qualification relevant to information/records management. - Membership of a relevant professional body. - Experience in projects implementing effective record management solutions. - Technical knowledge of metadata, information architecture, and file planning. - Experience with SharePoint and O365 configuration for effective information management and retention. Additional Responsibilities: - Collaborate with cross-functional teams to more »

functionality. SharePoint API: Utilize SharePoint API for operations such as GET, POST, etc., to interact with SharePoint lists and libraries. Content Services: Understand Managed Metadata, Site Content Types, Site Columns, indexes, etc. Customization: Familiarity with SharePoint Framework (SPFx) for client-side code customization would be beneficial with experience in developing 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 »

a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Engineer 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 »