26 to 50 of 443 Metadata Jobs in the UK excluding London

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

governance standards covering cataloguing, lineage, quality, access control, and PII. Lakehouse architecture Define the Lakehouse target architecture: storage, table format, query engine, ingestion, metadata, and the standards that govern it. Set the patterns for multi-tenant isolation, row- and column-level security, and PII handling. Define the streaming and batch ...

analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial ...

Work With Defining enterprise Data & AI architecture strategies and target-state roadmaps Designing modern Databricks Lakehouse and cloud-based data platforms Establishing governance, security, metadata and data management frameworks Leading architecture assessments, discovery workshops and strategic engagements Creating scalable architectures that support analytics, machine learning and AI capabilities Advising senior ...

Improve pipeline performance, reliability and cost, while automating tasks and maintaining clear technical documentation. Build data quality checks, validation and reconciliation, and contribute to metadata, data lineage and governance requirements. Use Git, code reviews, CI/CD and Infrastructure-as-Code to deliver safe, repeatable changes, supported by effective monitoring ...

applications. Experience with Power BI, QuickSight, or similar tools for analytics. Adherence to ETL/data management best practices (e.g., incremental loads, error handling, metadata logging). Knowledge of data protection regulations (GDPR, CCPA) and security protocols (encryption, RBAC). Agile/SCRUM practitioner with experience in offshore team collaboration. ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

Functions, or Data Factory). Understanding of enterprise integration patterns and familiarity with event-driven architectures. Knowledge of data quality, master data management, or metadata management concepts. Experience working with modern API management platforms. Exposure to Agile frameworks, such as SAFe Agile, Scrum, or Kanban. Knowledge of security principles ...

industryAnalytics/Data Governance Target Operating Model (TOM) designData Governance specific experience, for example: understanding Data Lineage, defining Data Quality Rules, risk management, metadata management and policy developmentData Operations specific experience, for example implementing improved data processes, enhanced data integration, monitoring and maintenance and automationTroubleshooting and Problem Solving: The troubleshooting ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards + ...

practices across security, performance, scalability and cost optimisation. Provide technical leadership, architecture governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

data modelling, data quality and monitoring.Experience with automation, CI/CD and DevOps practices.Architecture & LeadershipExtensive experience designing enterprise data platforms.Knowledge of MDM, governance, metadata and integration patterns.Proven leadership of large-scale data programmes.Strong stakeholder management and consulting skills.Experience working in Agile delivery environments.Preferred QualificationsGoogle Professional Data Engineer and/ ...

data quality and monitoring. Experience with automation, CI/CD and DevOps practices. Architecture & LeadershipExtensive experience designing enterprise data platforms. Knowledge of MDM, governance, metadata and integration patterns. Proven leadership of large-scale data programmes. Strong stakeholder management and consulting skills. Experience working in Agile delivery environments. Preferred QualificationsGoogle Professional ...

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 ...

role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise applications. Strong problem‐solving skills, with the ability to understand existing technical solutions ...

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 ...

supporting data platforms within OpenShift or Kubernetes environments. Knowledge of GitLab CI/CD and modern software delivery practices. Understanding of data validation, assurance, metadata management, lineage and data governance principles. Strong stakeholder engagement, problem-solving and communication skills. Active DV Clearance required If you're an experienced Data Engineer ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

Have Experience with TypeScript or JavaScript Experience contributing to frontend applications (React) Familiarity with observability tooling (logging, monitoring, tracing) Experience with data modelling and metadata management Exposure to CI/CD practices for data pipelines and services Experience working in delivery-focused, agile environments Please note: We offer flexible hybrid ...

models, and align BI solutions with business objectives.- Present insights and recommendations to senior executives in a clear, structured format.- Implement data governance standards, metadata management, and ensure compliance with organizational policies.- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.What You’ll BringEducation & Experience - Bachelor ...