1 to 25 of 50 Metadata Jobs in the City of London

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

and data governance Implement data 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 technical concepts effectively to both More ❯

and data governance Implement data 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 technical concepts effectively to both More ❯

direction of a Lloyds business, not just maintain it. Key responsibilities: Design and build Data Lake and Data Warehouse solutions Create scalable, automated batch and streaming data pipelines Optimise metadata, catalogue, lineage, and data quality processes Support business teams with data visualisation and reporting solutions Ensure secure handling of complex and sensitive data Collaborate with stakeholders across the business to More ❯

Experience with pair programming, conducting code reviews, and mentoring team members. Proven ability to reconcile data across systems and ensure data quality and integrity. Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex More ❯

Experience with pair programming, conducting code reviews, and mentoring team members. Proven ability to reconcile data across systems and ensure data quality and integrity. Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex More ❯

roles within insurance, financial services, or regulated industries . Strong expertise in: Enterprise Data Strategy, Governance & Operating Models Data Platforms & Cloud (AWS/GCP, Databricks, etc.) Data Management, MDM, Metadata, Lineage, and Quality frameworks Regulatory Compliance (GDPR, Solvency II, IFRS 17, FCA/PRA requirements). Hands-on knowledge of data architecture, analytics, and AI/ML adoption . Exceptional More ❯

roles within insurance, financial services, or regulated industries . Strong expertise in: Enterprise Data Strategy, Governance & Operating Models Data Platforms & Cloud (AWS/GCP, Databricks, etc.) Data Management, MDM, Metadata, Lineage, and Quality frameworks Regulatory Compliance (GDPR, Solvency II, IFRS 17, FCA/PRA requirements). Hands-on knowledge of data architecture, analytics, and AI/ML adoption . Exceptional More ❯

Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to More ❯

Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to More ❯

platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career More ❯

platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

Spark Structured Streaming. Implement secure, scalable storage using Delta Lake formats, Azure Data Lake Gen2, and time-series solutions (e.g. Azure Data Explorer). Deliver data validation, schema evolution, metadata management, and lineage tracking to production quality. Mentoring & Capability Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best More ❯

Spark Structured Streaming. Implement secure, scalable storage using Delta Lake formats, Azure Data Lake Gen2, and time-series solutions (e.g. Azure Data Explorer). Deliver data validation, schema evolution, metadata management, and lineage tracking to production quality. Mentoring & Capability Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

role, youll be at the heart of shaping, managing, and optimising M365/SharePoint environments for our clients. Youll advise on best practices including designing robust site structures, implementing metadata strategies, and ensuring seamless content lifecycle management across complex environments that empower organisations to collaborate and innovate effectively. A significant part of your responsibilities will centre on leveraging Microsoft Purview More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯