1 to 25 of 38 Remote Metadata Management Jobs in the UK

solutions. Collaborate with IT teams to ensure data infrastructure is optimized for performance, scalability, and reliability. Provide leadership and mentorship to data architecture and engineering teams. Data Integration and Management: Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data More ❯

designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You will play a key role … in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads. Translate business … into high-level and low-level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯

of data warehousing, data lakes, and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

in their data career within a consulting environment. Key Responsibilities Support Data Governance & Strategy Projects: Assist in the development and rollout of data governance models, data ethics frameworks, and metadata strategies tailored to client needs. Enhance Data Quality & Processes: Help clients improve the accuracy, consistency, and reliability of their data through practical quality initiatives and tooling recommendations. Assessment & Analysis … and business teams, as well as external stakeholders, to ensure data solutions align with both business and technology objectives. Enable Data Transformation: Contribute to larger transformation programmes where data management plays a central role - from concept to implementation. Drive Innovation: Support the exploration of new technologies, tools, and methods that can enhance data strategy, including automation and AI-led … governance solutions. Upskilling & Education: Assist in delivering workshops and training sessions to improve client understanding of data governance, management, and emerging trends. Ideal Candidate Profile 2-5 years of experience in data management, data strategy, or information governance - ideally in a consulting, advisory, or client-facing environment. Working knowledge of key data management concepts, including data quality More ❯

Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage … initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and … we are looking for versatile team members, capable of successfully executing a diverse array of data-driven projects. This includes expertise in agile delivery, requirements gathering, data analysis, stakeholder management, governance, and compliance. Your Profile We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal More ❯

Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage … initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and … we are looking for versatile team members, capable of successfully executing a diverse array of data-driven projects. This includes expertise in agile delivery, requirements gathering, data analysis, stakeholder management, governance, and compliance. Your Profile We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal More ❯

Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage … initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and … we are looking for versatile team members, capable of successfully executing a diverse array of data-driven projects. This includes expertise in agile delivery, requirements gathering, data analysis, stakeholder management, governance, and compliance. Your Profile We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … 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 More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … 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 More ❯

Month Rolling A global IT consulting firm is seeking an experienced Informatica IDQ Administrator to support a leading financial services client as part of a business-critical data management programme. This is an excellent opportunity to work in a cutting-edge environment delivering enterprise-level data governance and quality solutions. Key Responsibilities: Installation, configuration, upgrade, and administration of Informatica … EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning, capacity planning, and environment optimization. Collaborate with infrastructure teams … line utilities. Solid experience with AWS services (EC2, RDS, S3, Route 53, etc.). Expertise with Oracle and MS SQL Server databases. Demonstrated experience in enterprise data governance and metadata management. Ability to analyze and resolve complex technical issues. Strong stakeholder management and communication skills. Desirable: Informatica IDQ Developer/Admin certification. Experience with ETL, Active Directory integration More ❯

Month Rolling A global IT consulting firm is seeking an experienced Informatica IDQ Administrator to support a leading financial services client as part of a business-critical data management programme. This is an excellent opportunity to work in a cutting-edge environment delivering enterprise-level data governance and quality solutions. Key Responsibilities: Installation, configuration, upgrade, and administration of Informatica … EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning, capacity planning, and environment optimization. Collaborate with infrastructure teams … line utilities. Solid experience with AWS services (EC2, RDS, S3, Route 53, etc.). Expertise with Oracle and MS SQL Server databases. Demonstrated experience in enterprise data governance and metadata management. Ability to analyze and resolve complex technical issues. Strong stakeholder management and communication skills. Desirable: Informatica IDQ Developer/Admin certification. Experience with ETL, Active Directory integration More ❯

Month Rolling A global IT consulting firm is seeking an experienced Informatica IDQ Administrator to support a leading financial services client as part of a business-critical data management programme. This is an excellent opportunity to work in a cutting-edge environment delivering enterprise-level data governance and quality solutions. Key Responsibilities: Installation, configuration, upgrade, and administration of Informatica … EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning, capacity planning, and environment optimization. Collaborate with infrastructure teams … line utilities. Solid experience with AWS services (EC2, RDS, S3, Route 53, etc.). Expertise with Oracle and MS SQL Server databases. Demonstrated experience in enterprise data governance and metadata management. Ability to analyze and resolve complex technical issues. Strong stakeholder management and communication skills. Desirable: Informatica IDQ Developer/Admin certification. Experience with ETL, Active Directory integration More ❯

digital and data transformations across both public and private sectors. They're currently growing their Data Strategy team and are looking for an experienced consultant specialising in Enterprise Data Management to support the design, leadership, and implementation of large-scale data strategy initiatives. This opportunity is ideal for professionals with a deep understanding of data governance, data quality, metadata management, and AI integration who are ready to play a hands-on, strategic role within complex client environments. The Organisation Our client is a household name in the consulting world renowned for their end-to-end digital transformation capability. They work with global enterprises and government bodies to solve pressing business challenges by blending data, technology, and human … You'll lead engagements that focus on enabling intelligent, secure, and ethical use of data across complex organisations. Key Responsibilities: Provide strategic guidance on data governance frameworks, master data management (MDM), metadata strategy, and data ethics policy development. Lead client engagements across data architecture, data quality, taxonomy, and standards implementation often acting as the bridge between technical teams More ❯

and on-prem systems. Lead the development of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right time. More ❯

with project managers and stakeholders, translating technical concepts for non-technical audiences. Run client advisory sessions and online enablement workshops focused on modern data tools, including Power BI and metadata-driven solutions. Provide guidance and mentoring to junior team members on project delivery standards and best practices. Data Engineering & Infrastructure: Develop and maintain scalable data pipelines and integration solutions … using modern cloud technologies. Identify opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks. Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and resolve data flow and system issues, collaborating closely More ❯

and clean data layers that empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust … data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g. … in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership More ❯

business value through data by refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll have: Extensive experience in More ❯

data quality across the organization. Maintain comprehensive documentation of governance frameworks, data definitions, and quality standards. Required skills/experience: Significant experience in data governance, data quality, or data management roles (ideally within professional services preferably within the insurance sector but this is not essential) Strong knowledge of data governance frameworks, best practices, and data quality management principles … Experience with data management tools (e.g., Collibra, Informatica, Alation, or similar platforms). Proven ability to lead cross-functional teams, manage projects, and drive consensus across diverse stakeholders Knowledge of data privacy regulations and compliance frameworks (GDPR, CCPA, etc.). Experience in data profiling, cleansing, and metadata management is a plus. Familiarity with data architectures and data More ❯

data across the organization is consistent, reliable, and governed effectively. You’ll develop and implement frameworks for data quality, governance, and master data management. You will ensure the effective management of data warehouse architecture, pipelines, and support data migrations using a combination of Snowflake and Microsoft Azure technologies. Salary and Benefits Competitive salary of £70k - £75k (DOE) Hybrid working … pipelines and data models to ensure that data governance and quality rules are seamlessly integrated. Support data migrations to new platforms ensuring smooth transitions and data integrity. Master Data Management (MDM): Define and implement MDM processes to standardize key domains like customer, vendor, product, and location data across the organization. Data Profiling and Quality : Lead efforts in data profiling … legal and regulatory requirements. Data Lineage and Documentation : Define and maintain data lineage to provide transparency into data flows and transformations across systems and departments. Critical Data Element (CDE) Management : Define and manage CDEs and establish governance processes around them to prioritize data quality. Data Migration Support : Ensure data migrations (e.g., from legacy systems are carried out with full More ❯