1 to 25 of 185 Remote Permanent Metadata Jobs

Azure, GCP) and associated managed services Experience with data modeling frameworks (e.g., star schema, snowflake schema) Knowledge of data governance principles, data cataloging, and metadata management Ability to work with version control tools (e.g., Git, SVN) and CI/CD pipelines Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes More ❯

Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data, and data lineage across systems. Ensure data consistency, accuracy, and availability for business users. Performance Optimization: Monitor and optimize the performance of data More ❯

go to for the data delivery teams and also offering consultancy across the business and upskilling business data teams Own the governance around data; metadata management, reference data management and other architectural artifacts - define and maintain the reference architecture surrounding the data estate Keep up to date with tools, frameworks More ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. More ❯

time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. More ❯

time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. More ❯

Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy enforcement, compliance, and lineage tracking Data quality solutions to ensure data accuracy, consistency, and reliability Provide architectural More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

Jira, Azure Repo, and GitLab) consisting of onshore/offshore/near shore resources, in a multi-vendor environment. Industry experience in master data, metadata, data architecture, data governance, data quality and data modeling. Experience in data quality tools, including data profiling, cleansing and identity resolution. Strong oral and written More ❯

on-premises platforms, databases (database management studios) and how they integrate (ETL, ELT, Messaging, APIs etc.). • Experience of working with Data Governance and Metadata management tools such as Alation About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

Responsibilities will include: Data Create and maintain robust and scalable data pipelines to ingest, process, and transform data from various sources, ensuring data and metadata quality, accuracy, and consistency. This will include working with large and complex datasets, such as census and international data. Responsibility for implementation of data governance More ❯

/ELT processes. Proven experience integrating new data sets into an established data platform and optimizing data storage and processing. In-depth knowledge of metadata management , self-serve data models , and data governance principles. Strong understanding of risk management frameworks , data controls, and ensuring compliance with industry regulations. Familiarity with More ❯

delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging More ❯

Business Insights Delivery, you will: Create proof of concepts and prototypes as part of the requirement gathering and specification process. Perform intermediate data profiling, metadata documentation, data lineage, data transformation rules in support of offshore development. Be responsible for the development, automating, compiling, and preparing reports, dashboards, cubes, etc. Work More ❯

Ensure data models align with organizational data architecture and governance standards. Optimize database structures for performance, scalability, and reliability. Document data models, relationships, and metadata for reference and maintenance. Work with development teams to implement data models in database systems. Conduct data analysis to ensure data quality and integrity. Support More ❯

along with: Extensive experience in data architecture and analytics solutions. Knowledge of data lifecycle, technologies, patterns, insights, analytics, machine learning, MDM, integration, warehousing, quality, metadata, and compliance. Strong understanding of data governance and compliance. Excellent communication skills for engaging stakeholders effectively. Experience with Microsoft Fabric is desirable. Rewards and Benefits More ❯