1 to 25 of 175 Metadata Jobs in London

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable data products. ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

Azure, including storage, networking, and identity concepts relevant to data platforms. Experience with data governance frameworks and tools (e.g. Microsoft Purview), data quality management, metadata, and lineage tooling. Strong SQL and working knowledge of Python and/or Spark. Understanding of data security and privacy: encryption, access control (RBAC/ ...

Design and implement secure, scalable data lake, lakehouse, and analytics platforms supporting structured, semi-structured, and unstructured data. Establish robust data governance, quality, lineage, metadata management, and security practices to ensure trusted, compliant, and reliable data platforms. Develop event-driven and real-time data integration solutions that enable scalable, resilient ...

databases such as Oracle, SQL Server or PostgreSQL. Experience with data migration, data warehousing and data quality processes. Understanding of data modelling principles and metadata management. Experience working within agile delivery environments. Excellent problem-solving and stakeholder management skills. Desirable Skills Experience within Central Government, Defence, Policing, Healthcare or wider ...

planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud ...

5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City ...

Palantir Gotham Strong experience building data pipelines, ETL processes, and automated workflows Experience ingesting, transforming, enriching, and integrating complex datasets Knowledge of data governance, metadata management, data quality, and lineage Experience working with batch, streaming, real‐time, and unstructured data Strong understanding of data modelling and Ontology design Experience designing ...

experience designing scalable data models. Strong Power BI development experience, including semantic modelling and DAX. Good understanding of data governance, data quality and metadata management. Experience building modern data platforms and analytics solutions. Strong stakeholder management and communication skills. Ability to translate business requirements into robust technical solutions. Experience working ...

data initiatives. Data Governance Frameworks: Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage). Critical for ensuring data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation ...

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. ...

Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture and solution design capability Experience leading complex cloud transformation ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal and written ...

Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams ...

ability to manage stakeholders, their expectations and explain complex problems or solutions in a manner suitable for the audience. Knowledge of data governance and metadata management. Knowledge of data security best practices and compliance requirements. Success Looks Like Safely implement controls to enable self‐service of Data for other teams ...

suite audiences. Hands-on data modelling capability across conceptual, logical and physical layers. Deep understanding of data management -data quality, MDM, reference data, metadata, governance and analytics/BI. Experience defining architecture patterns and applying structured methodologies. Proven ability to document and standardise data semantics , including taxonomies and vocabularies. Experience ...

including: Azure Data Factory Azure Data Lake Storage Gen2 Azure Databricks Azure Synapse Analytics Delta Lake Extensive experience implementing enterprise data governance solutions and metadata management frameworks. Strong knowledge of architecture governance, design assurance processes, and enterprise architecture controls. Extensive experience designing secure cloud platforms using: Zero Trust principles Identity ...

Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling and data governance controls. Ability to reason about trade‐offs across cost, performance ...

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 ...

/data pipelines Data modelling, lakehouse architecture and modern data platforms Azure data services API and third-party system integration Data quality, governance, metadata and lineage Git, CI/CD and engineering best practices This role would suit someone who enjoys solving complex data challenges, thinks beyond individual pipelines ...

data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem. Promote a Data ...

proven track record of designing and governinglarge-scale data and integration solutionsacross analytics and operational systems. Deep understanding ofdata governance, including data quality, metadata management, stewardship, and architectural assurance. Experience designing API‐led and event driven integration architectures. Practical experience architectingAI‐enabled data solutions, with an understanding of responsible ...

registry/versioning, CI/CD (GitLab/Jenkins), drift/performance monitoring, documentation. Data governance practices and tooling: data quality checks, lineage/metadata, access controls, and privacy-by-design (e.g., fine-grained controls such as Immuta or equivalent). Advanced analytics/AI (incl. GenAI where appropriate ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

senior stakeholders on data management, interoperability, and information governance. Skills & Experience Enterprise Data Architecture and Strategy Data Modelling (Conceptual, Logical, Physical) Data Governance, Metadata Management, and Information Assurance Data Sharing, Privacy, GDPR, and Security Frameworks Cloud Data Platforms (AWS, Azure) Data Lakes, API-Based Integration, and Modern Data Architectures ArchiMate ...