126 to 150 of 387 Metadata Jobs

consistent communication with teams to report progress, risks, and issues. Knowledge, Skills, Experience & Qualifications: Essential: Strong knowledge of Transactional Data types and Bank Products. Expertise in data governance, quality, metadata, profiling, analysis, and management tools. Problem-solving aptitude with effective communication skills. Understanding of enterprise-wide data governance practises. Confident stakeholder engagement abilities. Proficient in Microsoft Office Suite (Word, Excel More ❯

on at least two Snowflake implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools Experience in leading data platform development teams Knowledge of data science and visualisation More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

to fully understand their requirements - look for innovative solutions to improving Customer Experience Producing data requirement specifications & process flows (business and data) Creating source to target data mappings including metadata Work closely with delivery teams to ensure they have the necessary support to deliver to the quality required Acting as a subject matter expert and consultant, provide coaching, deliver guidance More ❯

leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of emerging More ❯

leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of emerging More ❯

Azure Services). Proficiency in Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. Strong understanding of data governance principles, including metadata management, data cataloguing, lineage tracking, and compliance frameworks. Knowledge of security and compliance standards, ensuring data governance solutions meet industry regulations. Proficiency and extensive experience in the Purview suite of More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior More ❯

business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud/SAP)/data architecture Understanding of public and private cloud architectures Knowledge of architecture More ❯

part in developing conceptual, logical, and physical data models, ensuring alignment with the technical reference architecture and data governance standards. The ideal candidate must have: Experience in data modelling, metadata management, and data governance Strong SQL experience is essential Strong data mapping experience Strong Data-warehousing and design principals experience Familiarity with cloud platforms (e.g., AWS Redshift) Background in finance More ❯

community, feel free to quickly apply here but no need to re-apply directly. Tasks Leadership and execution of a data and AI stewardship strategy Data governance, quality, and metadata management orchestration Data in support of AI and analytics Manage regional data stewards Requirements An independent consultant Experience in marketing and consumer engagement functional data domain such as customer, digital More ❯

based data engineering using services like S3, Lambda, Glue, and Athena. Ensure interoperability with global research infrastructures (e.g. DiSSCo UK, RECODE, DToL). Define best practices in data quality, metadata, and reproducibility. Collaborate with cross-functional teams (science, software, product). Mentor engineers and contribute to institutional data strategy and standards. Tech Requirements Strong Python skills; experience with Airflow, Luigi More ❯

migration, analysis, and governance. Key Responsibilities: Lead the design and implementation of modern data architectures for public sector clients. Provide technical expertise in data modelling, data migration, data transformation, metadata management, and master data management. Engage directly with stakeholders (technical and non-technical) to gather requirements and provide thought leadership. Guide the selection of appropriate technologies and tools to meet More ❯

to drive innovation and create lasting impact. What You’ll Bring: Proven experience working within UK healthcare or wider public sector environments. Expertise across key data architecture disciplines — including metadata management, master data, and complex data migrations. Strong track record of leading data projects, including defining standards, assuring quality, and mentoring teams. Familiarity with selecting technologies or products for projects More ❯

Responsibilities: Lead development of automated reporting and analytics tools Shape and enforce data governance and quality standards Champion data ownership, stewardship, and compliance initiatives Work cross-functionally to integrate metadata and taxonomy strategies Build training materials and guide agile teams in embedding data quality at every stage Translate data insights into commercial opportunities and operational improvements Support business owners with More ❯

Responsibilities: Lead development of automated reporting and analytics tools Shape and enforce data governance and quality standards Champion data ownership, stewardship, and compliance initiatives Work cross-functionally to integrate metadata and taxonomy strategies Build training materials and guide agile teams in embedding data quality at every stage Translate data insights into commercial opportunities and operational improvements Support business owners with More ❯

in enterprise data architecture within complex environments Hands-on expertise with Kimball and Data Vault 2.0 methodologies Experience designing models across raw, business, and consumption layers Solid understanding of metadata, cataloguing, and data governance practices Working knowledge of modern data platforms such as Databricks, Azure, Delta Lake, etc. Excellent communication and stakeholder engagement skills Data Architect - Benefits: Competitive base salary More ❯

What We're Looking For Essential Qualifications & Experience: Degree or equivalent professional qualification. At least 5 years of proven experience in a similar role. Strong understanding of Data Quality, Metadata, Master Data, and Data Lifecycle Management. Experience with a variety of Data Governance tools Experience with SAP Analytics Cloud and SAP Datasphere (desirable) Familiarity with SAP data structures and regulatory More ❯

Builds and deploys communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of the data. 5. Develops a centralized metadata and classification repository for data assets that can be systematically used with confidence in business applications. 6. Fosters communication and knowledge exchange among data governance practitioners through engagement with CoEs More ❯

and building our core data infrastructure for managing large-scale ML training datasets (e.g., Apache Iceberg, Parquet). Develop cloud-based data processing pipelines , that ingest and compute auxiliary metadata signals on image, video and 3D data (PySpark, Airflow). Develop a data serving strategy for training ML models, including data loaders, caching, etc. Generate tooling to help in the More ❯

Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (e.g., Akeneo, Salsify, inRiver). Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication, and data workflows. Excellent analytical and problem-solving skills; ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with CMS, DAM More ❯

and Maintain the Data Governance model Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality Document and communicate data model More ❯

governance, security, and compliance strategies. 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 leadership on hub-and-spoke … governance, security, and compliance strategies. 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 leadership on hub-and-spoke More ❯

solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend data … modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: Were a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the More ❯