1 to 25 of 59 Metadata Jobs 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 »

Information Technology, related field, or equivalent work experience. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Understanding of AI/ML/Data Structure and knowledge of graph theory an advantage. Experience in GIS and spatial analysis 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 »

eg: maintenance, quality monitoring, retention, etc) and ensuring compliance with external data governance legislation (eg: GDPR) is designed. A consolidated set of collateral of metadata maintained as part of change processes (eg: Delivery framework Data Platform, and Integration Wikis). Support data quality improvement initiatives by developing data quality assessment 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 »

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 »

business analysis experience in insurance, preferably London Market. Support projects from a data perspective and assist with Analytics & Insights initiatives. Familiarity with data governance, metadata management, and data quality improvement. Proficiency in data modeling, ETL processes, tools like SQL, Power BI, and Informatica, and understanding of SDLC methodologies. If you 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 »

of the impact on the organisation of emerging trends in data tools, analysis techniques and data usage. Data integration design experience Data modelling experience Metadata management Experience building relationships with different teams, understanding of BI and Database Administration is desirable Understanding/experience of .Net coding desirable moderate-to-complex more »

enterprise-wide data governance framework across EMEA. Key responsibilities will include embedding the data governance framework; developing the framework; leading the implementation of strategic metadata and data lineage tooling and improving data quality. This is a VP level hire paying circa £100k plus bonus and benefits. We’re looking for 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 »

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 »

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 »

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 »

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 »