1 to 25 of 100 Permanent Metadata Jobs in London

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

robust data governance framework, including policies, standards, and procedures. Define data ownership models and appoint data stewards across key domains. Introduce and manage a metadata catalogue to enhance data discoverability and transparency. Establish clear retention, access, and usage policies for various data types. Governance Leadership Set up and lead ...

implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform ...

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise ...

advanced statistical techniques. Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). ...

advanced statistical techniques. Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). ...

pipelines. Partner with external organisations to facilitate secure and reliable data transfers and integrations. Implement scalable, repeatable processes for ingestion, schema management, validation, and metadata documentation. Ensure all data pipelines meet governance, compliance, performance, and security standards. Continually evaluate and adopt emerging Fabric features including Lakehouse optimisations, Warehouse capabilities ...

pipelines. Partner with external organisations to facilitate secure and reliable data transfers and integrations. Implement scalable, repeatable processes for ingestion, schema management, validation, and metadata documentation. Ensure all data pipelines meet governance, compliance, performance, and security standards. Continually evaluate and adopt emerging Fabric features including Lakehouse optimisations, Warehouse capabilities ...

Responsibilities Design, build, and maintain scalable data pipelines to ingest, transform, and store data from multiple sources. Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability. Implement data quality ...

Responsibilities Design, build, and maintain scalable data pipelines to ingest, transform, and store data from multiple sources. Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability. Implement data quality ...

complex datasets into clear visual insights to support decision-making. Partner with BI teams to ensure business requirements align with reporting outputs. Data Governance & Metadata Maintain and enhance data dictionaries, ensuring accuracy and alignment across teams. Document data lineage to provide transparency on data sourcing and transformations. Create and maintain ...

complex datasets into clear visual insights to support decision-making. Partner with BI teams to ensure business requirements align with reporting outputs. Data Governance & Metadata Maintain and enhance data dictionaries, ensuring accuracy and alignment across teams. Document data lineage to provide transparency on data sourcing and transformations. Create and maintain ...

With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global ...

With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global ...

Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives ...

Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills ...

Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills ...

LLMs, embeddings) Make Power BI dashboards that actually refresh when they're supposed to Implement governance that doesn't make people want to scream (metadata tagging, lineage tracking, the good stuff) Collaborate with brilliant behavioural scientists and product teams who'll challenge them in the best ways The ideal candidate ...

define data governance and assurance for clientsData lifecycle- understand and apply data governance over a data lifecycleMetadata management- understand and promote the use of metadata repositoriesData modelling- produce relevant data models across multiple subject areasData standards- refine, develop or apply and set data standardsBehaviours and PACT valuesPurpose:Be values-driven ...