1 to 25 of 75 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

data models, pipelines, and integration frameworks. Support the implementation of Customer Data Platforms (CDPs), MDM, and CRM systems. Ensure compliance with data governance, metadata standards, and data quality frameworks. Collaborate with stakeholders to define data architecture vision and roadmap. Contribute to the development of reusable architecture assets and design patterns.

best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of data governance frameworks and compliance standards. Familiarity with machine learning pipelines or AI model integration.

data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute

data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute

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

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

management, including lineage, observability, access control, and compliance with ethical data use. Innovation&standards: Stay ahead of industry trends in data architecture, engineering, and metadata/semantic technologies—and bring them into practice where they add value. Enterprise data architecture: Collaborate with other architects to define and implement data architecture

Contract Role: Metadata Management Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim DMO metadata management repositories Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata … CDEs Work with project managers to capture technical metadata for MITBIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Promote standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement

Contract Role: Metadata Management Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim DMO metadata management repositories Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata … CDEs Work with project managers to capture technical metadata for MITBIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Promote standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines

risk data aggregation requirements. Good if you have experience with risk modelling tools (SAS, Python) and ETL frameworks. Familiarity with data governance, lineage, and metadata management. Excellent problem-solving and communication skills.

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

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

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you'll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power

Contract Metadata Analyst - £600/day (Inside IR35) Please note - this role is Inside IR35 and requires you to work on site in London two days per week. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation will not offer … sponsorship. Overview Our client is seeking an experienced Metadata Analyst to join their team. This role is critical in driving metadata governance and ensuring compliance with enterprise standards. The successful candidate will work closely with data owners, stewards, and project managers to maintain and enhance metadata repositories and processes.

Contract Metadata Analyst - £600/day (Inside IR35) Please note - this role is Inside IR35 and requires you to work on site in London two days per week. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation will not offer … sponsorship. Overview Our client is seeking an experienced Metadata Analyst to join their team. This role is critical in driving metadata governance and ensuring compliance with enterprise standards. The successful candidate will work closely with data owners, stewards, and project managers to maintain and enhance metadata repositories and processes.

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

professional environment, providing employees with opportunities to contribute to impactful projects in a collaborative setting. Description Deep expertise in data governance, data quality, metadata management, profiling, analysis, and related data management tools. Lead the implementation of data governance across Risk and Finance domains, ensuring alignment with BCBS239 regulatory standards. Accountable

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

requirements Experience of working across multiple jurisdictions and cultures Use of industry standards and frameworks (e.g. DAMA, DCAM) Data management tooling experience or proficiency (metadata/lineage, DQ platforms, reporting solutions) SQL skills to support requirements and data analysis, ideally including both raw and aggregated data with the ability

requirements Experience of working across multiple jurisdictions and cultures Use of industry standards and frameworks (e.g. DAMA, DCAM) Data management tooling experience or proficiency (metadata/lineage, DQ platforms, reporting solutions) SQL skills to support requirements and data analysis, ideally including both raw and aggregated data with the ability