1 to 25 of 488 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 ❯

data governance frameworks. Collaborate with stakeholders across IT, analytics, and business teams to gather requirements and translate them into data solutions. Define data standards, metadata management practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

limited to: Data Strategy/Modeling/Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance • Design, develop, and maintain interactive Tableau dashboards and reports to support business objectives. • Integrate Tableau with various data sources More ❯

defining data policies, standards, and procedures. • Data Architecture: Familiarity with different data architectures (e.g., data warehousing, data lakes, data mesh), data modeling techniques, and metadata management. Experience working with or contributing to the design and implementation of data architectures. • Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) and their 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 ❯

Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). 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 ❯

defining data policies, standards, and procedures. • Data Architecture: Familiarity with different data architectures (e.g., data warehousing, data lakes, data mesh), data modeling techniques, and metadata management. Experience working with or contributing to the design and implementation of data architectures. • Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) and their More ❯

of multiple BI projects to include scoping, analysis, cost & risk analysis for application upgrades and data migration Document objects in a data warehouse including metadata and architecture Support business process optimization efforts to improve data capture, data processing and data quality Automate and improve current processes Help to maintain data 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 ❯

data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute, and pipeline strategies. Provide governance support by defining metadata, lineage, and documentation for critical data assets. Evaluate and introduce modeling best practices, tools, and automation to increase model reuse, version control, and deployment efficiency. More ❯

platforms ETL/ELT processes and technologies Business intelligence and analytics tools Cloud data platforms (AWS, Azure, GCP) Data quality management and profiling tools Metadata management principles Desired Certifications CDMP (Certified Data Management Professional) DAMA CDMP (Data Management Association) IBM Data Governance Microsoft or Data bricks Data certifications More ❯

be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. More ❯

platform providing secured access to large datasets. • Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business More ❯

and business users, through a user-friendly interface or central repository. • Provide search functionality and filters to help users locate relevant data elements and metadata quickly. • Document clear instructions on how to use and contribute to the data report. Ensure Data Integrity • Implement data validation rules and automated data cleansing 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 ❯