26 to 50 of 285 Remote Metadata Jobs

Junior Data Engineer and Analyst on modern engineering standards and secure coding practices; - Work with the Software Engineering Manager to establish naming conventions, metadata standards, and data residency/sovereignty protocols. Stakeholder Engagement & Continuous Improvement - Constructively challenge stakeholders and teams where necessary on scope and delivery to ensure deliverables remain ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview) Experience designing or integrating solutions across AWS environments Strong understanding of data security, access controls, and information assurance Confident working with senior ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

Dataflow Pub/Sub Python APIs and containerised services Strong data architecture experience, including conceptual, logical and physical data modelling Experience establishing governance frameworks, metadata management, data quality standards and AI-ready data foundations Expertise in Infrastructure as Code and CI/CD delivery practices Strong stakeholder engagement and technical ...

infrastructure projects. • Experience with data visualisation tools (e.g. Power BI) or data analysis techniques is a plus. • Understanding of data governance, data quality, or metadata management is advantageous. ...

analytics, portfolio, performance or governance role is desirable, as is familiarity with data visualisation, reporting or assurance activities. An awareness of data governance, controls, metadata and information management principles would also be beneficial. Most importantly, you’ll bring a continuous improvement mindset and a genuine interest in using data ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI‐driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...