1 to 25 of 96 Remote Metadata Management Jobs

About The Role About the Role We have an exciting new opportunity for a new a Data Management Specialist. You will be involved in delivering our Data Strategy, mature our Data Management capabilities and support our Microsoft Fabric and Purview implementation. You will help us support and enhance our enterprise data management practices within a dynamic financial … services environment. This role will be responsible for helping us shape our Data Management roadmap and will introduce and establish all Data Management capabilities including Meta data Management, Master Data Management, Data Lineage, Business Glossaries and Data dictionaries. You will mature our Data Ownership and stewardship communities, support our data literacy programme, working as part of … Term Contract. Key Accountabilities •Working in close collaboration with the Head of Data, Data Governance Implementation Lead, DPO and a Data Quality specialist to establish the Data Governance and management team. •Oversee the acquisition, collection, storage and analysis of our business data with a Data Management best practice and compliance lens. •Actively contribute to Data Risk management More ❯

architecture (Data Warehouses, Data Lakes, Dimensional Modelling, Streaming vs Batching, etc) Knowledge and understanding of key data strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Strong experience in SQL … options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience More ❯

Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role: The Data Solutions Architect at EXL plays a strategic, client-facing role within our Data Management practice. This is a technical leadership position , focused on GCP , where you partner closely with senior stakeholders to modernise their data platforms, drive value from data, and accelerate cloud … Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion. Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ Pro, or similar platforms. Client Engagement & Advisory: Act as a trusted advisor to clients’ senior leadership (CDOs More ❯

for the Data Architect role at Somerset Bridge Group Get AI-powered advice on this job and more exclusive features. Application Deadline: 27 June 2025 Department: [SBSS] Enterprise Data Management Location: Newcastle Compensation: £82,500 - £98,000/year Description Are you ready to shape the data backbone of an ambitious insurance business? We're on the lookout for … modelling. Drive innovation by evaluating and implementing emerging cloud-based data technologies to enhance Somerset Bridge Group’s data strategy and competitive advantage. What You'll Need Strong stakeholder management across business, IT, and compliance teams. Excellent communication, collaboration, and influencing skills across all levels of an organisation. Experience leading data architecture and engineering teams in an enterprise environment. … delivering enterprise-scale data solutions with a focus on performance, security, and scalability. Experience in regulated financial services environments, ensuring compliance with industry standards. Vendor and third-party relationship management, including Microsoft and Databricks. Knowledge of IFRS 17 and BCBS 239 for financial reporting and risk management. Understanding of the UK Data Protection Act and Solvency II compliance. Experience 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 ❯

to the Service Delivery team as needed. Required Skills & Experience Extensive Power BI development experience, including expertise in PBI Desktop, PBI Service, and content distribution. Strong understanding of data management platforms, BI lifecycle methodologies, and data visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. … experience. Experience with Microsoft Dataverse, Data Factory, SSIS, and Azure Data Platform. Knowledge of Microsoft D365 Finance & Operations and Customer Experience modules. Familiarity with Fabric, Azure Synapse, and data management practices including governance, quality, and metadata management (MS Purview). Relevant Microsoft certifications such as PL-300 (Power BI Data Analyst Associate) or DP-600 (Fabric Analytics More ❯

Pipeline Engineering: Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting real-time and batch processing. Governance & Data Quality Management: Establish data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Partner with executive 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 ❯

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 ❯

analysis, data quality assessment, and reconciliation across systems and sources. Design and improve operational processes through automation, analytics, and system integration. Contribute to the development of data governance frameworks, metadata management, and control structures. Prepare technical and business documentation, including data dictionaries, workflow diagrams, and business requirements documents. Support client workshops, solution testing, and deployment activities. Business Development … Strong client-facing skills with the ability to build trust and influence decision-makers. Exposure to systems such as Aladdin by BlackRock, Yardi Investment Platform, Temenos Multifonds, or portfolio management tools. Understanding of fund structures, regulatory reporting requirements (e.g., UCITS, AIFMD), and investment operations. Experience with data migration, ETL, or systems integration. Familiarity with project delivery methodologies (e.g. Agile … Waterfall, Hybrid). Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred. Life at Grant Thornton Reward and benefits: Our rewards and benefits are designed to create an environment where our people can flourish. We are committed to building a culture where our people have access to the necessary benefits to help promote a 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 ❯

for the Data Engineer role at Somerset Bridge Group Get AI-powered advice on this job and more exclusive features. Application Deadline: 27 June 2025 Department: [SBSS] Enterprise Data Management Location: Newcastle Compensation: £55,000 - £68,500/year Description We're building something special — and we need a talented Data Engineer to help bring our Azure data platform … Ability to diagnose issues and implement efficient solution Experience implementing Databricks Unity Catalog for data governance, access control, and lineage tracking. Understanding of Azure Purview for data cataloging and metadata management. Familiarity with object-level and row-level security in Azure Synapse and Databricks Experience working with Azure Event Hubs, Azure Data Explorer, or Kafka for real-time data … concepts to non-technical stakeholders. Collaboration – Works effectively with cross-functional teams, including Pricing, Underwriting, and IT. Adaptability – Thrives in a fast-paced, agile environment with evolving priorities. Stakeholder management – Builds strong relationships and understands business requirements Innovation-driven – Stays up to date with emerging technologies and industry trends. Our Benefits Hybrid working – 2 days in the office and More ❯

GDPR ). 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). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). More ❯

GDPR ). 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). 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 ❯

and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with basic knowledge of the change management process Demonstrates understanding of technical models and their connectivity with business practices and operations Basic knowledge of governance and compliance policies, standards, and procedures required to fulfil role e.g. … data security and records management It would also be nice for you to have: Degree/qualification in Computer Science or a related field, or equivalent work experience Willingness to learn new technologies, tools, and methodologies in a rapidly evolving field of data management and analytics Clear and effective communication skills to interact with team members, stakeholders and … Spark/Scala Data structures (tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation Data Transformation DevOps - data pipelines Controls - selection and build Reference and metadata management What else you need to know: This role is based in Unity Place - Milton Keynes. We want our people to thrive at work and home, and also More ❯

and experience: • Experience with Snowflake or other cloud-native data warehouse technologies • Familiarity with GraphQL and its use in data-driven APIs • Exposure to data governance, data quality and metadata management tools • Interest or experience in applying machine learning/AI pipelines or features within a data engineering context • Understanding of DevOps conceps as applied to data (DataOps More ❯

Technologies: ETL, Data Warehouse, Informatica, Oracle, SQL, Database Design, Metadata Management, Data Modelling, Data Quality, Data Lake Concepts, QlikView, Communication Calling urgently for ETL developers for an exciting REMOTE contract opportunity to join a financial sector client, based in Sweden! Our client is looking for an ETL developer who has experience within the financial industry and working in … with the Data Governance organization to ensure alignment or additions to the current Business Glossary definitions. Populate data marts with quality data for use with BI solutions Work with metadata management Required experience/knowledge: Knowledge and experience from the financial sector Good knowledge and experience with databases and data modeling, preferably Oracle (and SQL) Good knowledge of … etc.) is a plus Experience with ETL tools and processing Experience with data lake concepts Experience working with data quality Experience designing data warehouse solutions Experience with master data management Experience with metadata and reference data management Good documentation skills Ability to work both individually and collaboratively Structured, analytical, and accurate Fluent in English, with awareness and More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and … adoption of governance practices Regulatory Compliance Understanding: Solid grasp of compliance frameworks such as G.D.P.R., C.C.P.A., and other data protection legislation. QUALIFICATIONS Bachelor’s degree in Data Management, Information Systems, Computer Science, or related discipline Minimum of 5 years’ experience in data governance roles, with demonstrable success in policy development and tool implementation Strong expertise in Microsoft Purview; experience More ❯

researchers and engineers Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning Characterize machine learning datasets to provide insights Produce data visualizations and summaries to communicate data characteristics to researchers and leadership Work … Data and Spark. Databases and/or data warehousing technologies, such as Apache Hive. Data transformation via SQL and DBT. Orchestration platforms, such as Apache Airflow. Data catalogs and metadata management tools. o Vector data stores. Familiarity with: Data lake architectures and processing unstructured data at scale. Data provenance and lineage concepts. Computational geometry. The design, manufacturing, AEC … researchers and engineers Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning Characterize machine learning datasets to provide insights Produce data visualizations and summaries to communicate data characteristics to researchers and leadership Work More ❯