101 to 125 of 919 Metadata Jobs in England

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 ...

Enable high-quality data for client-facing products (reporting, AI/ML) and operations. Co-author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity Catalog. Review solution designs for architectural alignment and risk reduction, eliminating duplication and maximising reusability at cost ...

reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications Not essential ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards and FDJ United ...

analytical or historical reporting workloads.Experience with cloud-native data technologies or modern data platform tooling.Experience with Data Orchestration/ETL processes.Understanding of data governance, metadata management, data quality and data lineage practices.Awareness of AI-assisted tooling and its responsible use within data engineering and architecture.QualificationsNot essential to be successful ...

platform architectures. Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration. Understanding of master data management, data governance, metadata, lineage, and data quality. Understanding of security, privacy, compliance, and data integrity requirements. Ability to evaluate complex business requirements and develop pragmatic, scalable technical solutions. ...

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 ...

Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution ...

Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Apply strong quantitative and analytical problem‐solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift ...

/Data Fabric, cloud data platforms, integration, storage, master/reference data and interoperability.Data & AI Governance: Strong knowledge of governance architecture covering ownership, quality, metadata, lineage, privacy, security and information lifecycle, including data used by AI and AI-generated information.AI-Ready Data: Experience shaping how enterprise data is prepared, integrated ...

reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications Not essential ...

Python.Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment ...

measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding ...

skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security - not just querying, but owning the environment Experience supporting ...

skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security -- not just querying, but owning the environment Experience supporting ...

APIs, event-driven systems, containerization, platform engineering, and PCF/Kubernetes environments.Enterprise data architecture utilizing Snowflake, Databricks, data lakes, data warehouses, master data management, metadata management, AI enablement, and advanced analytics platforms.Enterprise resiliency, disaster recovery, active-active architectures, high availability, blue-green deployments, observability, and operational readiness frameworks.Modern DevSecOps ...

Azure) and Data Lakehouse ArchitecturesYou have experience of designing and implementing technical data governance strategies with a focus on data quality and discoverable metadata, with practical knowledge of data-mesh or data-product-oriented architecturesYou are passionate about communicating complex concepts succinctly to both technical and non-technical audiences ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging technologies including … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks and distributed computing ...

annumFareham, England Permanent Metadata LeadJob Title: Metadata LeadStart Date: ASAPContract Type: Permanent, Full TimeSalary: upto 80,000Location: Fareham, once every 2 weeksAbout the RoleWe are on a mission to unlock the full value of data and are looking for an experienced Metadata Lead to play a pivotal role in making … this a reality. This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed, and trusted across the organisation. As the Metadata Lead, you will own the vision and roadmap for the metadata tooling landscape, including Collibra and Databricks Unity Catalog, ensuring ...