1 to 25 of 57 Metadata Jobs with Hybrid or WFH Options

management of data governance frameworks. Manage the organizational data risks and issues Manage the data competencies within the organization (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience 3 + years’ experience working within a Data Governance related 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 »

management of data governance frameworks. Manage the organizational data risks and issues Manage the data competencies within the organization (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience 3 + years’ experience working within a Data Governance related more »

financial product knowledge. Experience with regulatory reporting or BCBS 239 would be advantageous. Understanding and experience of good governance, preferably data governance. Experience with metadata management tooling would be beneficial but is not necessary (e.g.: Collibra, MetaCenter, Solidatus). We offer: The opportunity to work in the Finance department of more »

management of data governance frameworks. Manage the organisational data risks and issues Manage the data competencies within the organisation (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience: 3 + years’ experience working within a Data Governance related more »

perspective Develop and/or lead the development of complex specifications for #SDTMs and #ADaM datasets Produce/define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs You Will Have BSc in life sciences, mathematics, statistics or related field. Extended #SAS programming 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 »

Carbon60 are working with a global manufacturer of personal care products who are seeking a part-time Product Data Analyst to join them on an initial 6-month contract. This position can be done from the client's Tadworth offices 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 »

PE Global is currently recruiting for a Product Data Analyst for a Part-Time contract role with a leading multinational Consumer Goods client – Fully remote withing the UK. Job Responsibilities Conduct and support UAT testing for ERP to ePIM integration more »

frameworks, standards and principles, eg DAMA-DMBOK, DSA, and relational/non-relational Datamodelling across conceptual, logical and physical domains. Data management: data quality, metadata management, reference and master data management, data integration & interoperability, and data storage. Data governance: business glossary, data standards, data catalogs, data dictionaries, and data lineage. more »

frameworks, standards and principles, eg DAMA-DMBOK, DSA, and relational/non-relational Datamodelling across conceptual, logical and physical domains. Data management: data quality, metadata management, reference and master data management, data integration & interoperability, and data storage. Data governance: business glossary, data standards, data catalogs, data dictionaries, and data lineage. more »

client who are looking for a senior Data Governance Analyst. Hybrid Working on offer. Skills Needed Understanding and experience with Data Governance topics (ie metadata, Data Domain Model, data ownership, data access, Data Quality, Master Data, data-related policies, Data Governance Forums, etc.) Experience with data analysis and Datamodelling (hands … of ToR for data products/use cases Experience with Data tools (eg Data Catalogue) Knowledge on SQL databases Responsibilities Own and manage the metadata enrichment process flows, working with stakeholders to ensure quality of metadata stored Capability to understand the data, by analysing and documenting its logical model Support … the data products and projects in Data Governance topics (eg metadata, Master Data, Data Quality, accesses and permissions, etc.) Define and document policies, procedures and operational standards Support the evolution of the Data Domain Model and keep it updated, by liaising with the business and the Data Team Support the more »

impact of business change requests on existing data architecture and support the prioritisation of these changes. Translate high-level business requirements into data models, metadata, test data, and data quality standards. Work closely with various departments and third parties to facilitate data-driven decision-making and optimise the organisation's … Required Skills: Extensive experience in designing and implementing data architectures in large-scale environments. Proficiency with cloud services (Azure preferred). Strong background in metadata management, and ensuring data quality. Hands-on experience with data integration, ETL processes, and data consistency. Experience in data governance, security, and compliance. Proven ability more »

impact of business change requests on existing data architecture and support the prioritisation of these changes. Translate high-level business requirements into data models, metadata, test data, and data quality standards. Work closely with various departments and third parties to facilitate data-driven decision-making and optimise the organisation's … Required Skills: Extensive experience in designing and implementing data architectures in large-scale environments. Proficiency with cloud services (Azure preferred). Strong background in metadata management, and ensuring data quality. Hands-on experience with data integration, ETL processes, and data consistency. Experience in data governance, security, and compliance. Proven ability 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 »

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 »

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 »

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 »

days in the office. What youll be doing Analyse end-user needs and design, test, and develop data warehouses. Drive automation through effective metadata management. Become a data management evangelist, ensuring we get the best form our data assets. Develop technical workflows using different modelling techniques. Analyse, and translate business … What youll need Experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. Designing 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 »

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 »

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 »