76 to 100 of 133 Metadata Jobs

/data engineering/data operations Delivering a robust and reliable data operations function for mission critical data Operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Service management and running of data platforms leveraging robust processes and frameworks eg. ITIL. Implementing 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 »

user stories and reporting/user acceptance testing (UAT) to identify and prioritize requirements and workflow Participate in the development and maintenance of asset metadata models incorporating industry standards unique requirements Understand tools available internally and externally to devise solutions that are flexible for our organization's use while making more »

alignment with business needs for data timeliness. 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. What they are looking for... Proven experience in analytics engineering and using Python and DBT to 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 »

challenges. Required Skills: Proven experience (minimum 2 years) with Collibra Data Catalog. Deep understanding of data governance concepts and practices. Expertise in data modeling, metadata management, and data lineage. Strong background in data warehouse design and SQL Server ETL processes. Proficiency in Power BI for reporting. Desirable Skills: Experience with 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 »

Multi skilled experience in the concepts and delivery of Data Strategy & Governance. For example: Data Policies, Data Standards, Data Governance Framework, Data Quality Framework, Metadata Management, Master Data Management, Management Information and Data and Analytics. Project experience in delivery of projects to ensure compliance with key policies and standards eg. 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 »

Architect delivers the vision for the organisation as set by the chief data architect. At this role level, you will: Design data models and metadata systems Help chief data architects to interpret an organisation’s needs Provide oversight and advice to other data architects who are designing and producing data more »

you’ll have the opportunity to flex your skills across our entire tech stack. From fine-tuning our data collection applications to enriching our metadata library, you'll play a pivotal role in elevating our platform to new heights. Our ideal candidate would have: 3+ years experience in a Data more »

contributions will play a huge part in the success of the organisation. Key Responsibilities: Analysing and ingesting new datasets from various sources Developing modern, metadata-driven data pipelines and data streams Designing and building data service APIs Transforming and cleansing complex datasets Designing, building, and supporting cloud infrastructure Designing, building more »

and drafting partner agreements for content acquisition, and negotiating final terms the product creation and digital conversion of all content for publication, including analysing metadata, assessing, and overseeing permissions and copyright clearance as the key provider of product information to other departments on products and product series This a fantastic more »

perform impact analysis of data changes, then proactively communicate and train users on the changes. You will assist in the definition, stewardship, quality control, metadata and access of data owned by respective domain. You will help to triage and resolve data incidents for the domain across Capture, Transport and Use more »

business users and developers to translate business requirements into prioritised user stories with agreed acceptance criteria. Documenting the ‘as-is’ data architecture and relevant metadata, including data definitions, business logic, sensitivity classifications, and retention periods alongside requirements, and collaborating with development teams to refine and estimate user stories. Responsibilities • Oversee … refine and enhance data products iteratively, fostering continuous improvement. • Support the development of a comprehensive business glossary encompassing data definitions, business logic, and other metadata to ensure clarity and consistency across data outputs. Experience • Degree level education or equivalent and experience in a product owner, business analyst or similar role more »

performance, scalability, reliability and monitoring. Information security knowledge to ensure proper access controls, encryption, anonymity for sensitive data assets. Understanding of data governance frameworks, metadata management, data quality, and lineage tracking We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes and … demonstrates modularity, reusability, and efficiency - across languages. Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines. Knowledge of data security, governance, metadata management, master data principles. Communication skills, ability to understand business requirements and translate to technical data solutions. Apply now to find out more! ------------------------------------------------------------------------------------------------------------- Data Engineer more »

through a merger with a well-established entertainment provider. THE ROLE: Supporting the Head of Data Governance to embed a data governance framework including metadata management and master data management. Contributing to the implementation of policies, data lineage and data quality rules. Developing data governance training and increasing awareness across … building a data governance network internally. YOUR SKILLS & EXPERIENCE: 3-5 years of Data Governance experience. Experience working in a fast-paced, changing environment. Metadata and master data management experience preferable. Excellent communication skills & stakeholder management experience. Experience working with the DAMA framework is desired. HOW TO APPLY: Please register more »

a long-term enterprise data management and governance program. They are responsible for the design, development, coding, and implementation of data quality, data stewardship, metadata management, and sensitive data management applications. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management. Responsibilities Implements … data quality controls including oversight and monitoring. Designs solutions for metadata management, data quality, sensitive data management, and data steward activities. Develops and codes solutions for metadata management, data quality, sensitive data management and data steward activities Implements some improvements in architecture, team processes, and functions. Minimum Qualifications At a … Bachelor's Degree in Business Administration & Management, Finance, Information Technology, Computer Science, or related 4+ years of experience in IT work experience, Data Analysis, Metadata Management, Data Quality, or related Preferred Qualifications If we had our say, we'd also look for: 6+ years of experience in IT work experience 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 »

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 »

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 »

business users and developers to translate business requirements into prioritised user stories with agreed acceptance criteria. Documenting the as-is' data architecture and relevant metadata, including data definitions, business logic, sensitivity classifications, and retention periods alongside requirements, and collaborating with development teams to refine and estimate user stories. Responsibilities Oversee … refine and enhance data products iteratively, fostering continuous improvement. Support the development of a comprehensive business glossary encompassing data definitions, business logic, and other metadata to ensure clarity and consistency across data outputs. Experience Degree level education or equivalent and experience in a product owner, business analyst or similar role more »

and intelligence products. The Data Management team within Data and Intelligence includes Data Stewards who are responsible for the acquisition, management and supply of metadata associated with Licensing data and products. As Principal Data Steward you will lead on the design, testing and implementation of a service and technical solutions … our Principal Data Steward: Responsible for strategic planning, development and ongoing delivery of a data management service, ensuring that it delivers quality-assured, standardised metadata to customers in a timely manner Drive developments to increase use of technologies to support greater automation and improve our ability to deliver a service … sustainably and at scale Responsible for identifying appropriate data assets that underpin licensing activities, assigning data ownership and for the ongoing management of metadata Process metadata using a variety of formats and applications which, for example, could include via SQL queries, XML/XSD files, CSV/TSV or JSON more »

Do you want your role to develop new ways of leveraging data to answer complex questions? Do you bring sound knowledge of metadata management using MySQL, XML, PHP, VBA/VB Script, Python, R or similar database and software programming languages? This role sits in our Performance and Analytics team more »

content management for internal and external technology teams Work with subject matter experts and creative operations stakeholders to drive the design and implementation of metadata, tagging, and content organization strategies. Evangelize adherence and adoption of software engineering best practices within the team. Communicate highly complex ideas and concepts to peers more »