26 to 50 of 90 Remote Metadata Management Jobs

of researchers and engineers. Develop scalable distributed systems for processing, filtering, and deploying datasets for machine learning. Process large, unstructured, multi-modal data sources (text, images, 3D models, code, metadata) into ML-ready formats. Conduct experiments on data to derive insights. Create visualizations and summaries to communicate data insights to researchers and leadership. Work with legal and trust teams … experiments. Preferred Qualifications Experience with databases and data warehousing (Hive, Iceberg). Data transformation skills (SQL, DBT). Experience with orchestration platforms (Airflow, Argo). Knowledge of data catalogs, metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations). Ability to analyze data using tools like Pandas, Matplotlib, Seaborn More ❯

Build and maintain a reliable billing architecture within an event driven environment. Data Products: Design, develop, and maintain APIs that deliver a seamless data experience for our customers. Database Management: Work with both SQL and NoSQL databases, optimizing schema designs and queries to support high-volume data transactions. Collaborative Problem-Solving: Work closely with BI, infrastructure teams, product managers … Bring Essential Skills 5+ years of hands-on Java development experience in a data-intensive environment. Proven experience building and maintaining data pipelines and APIs. Strong background in database management, including both SQL/NoSQL databases. Experience designing, implementing, and optimizing ETL/ELT processes for high-volume data environments (millions of requests per day). Demonstrated expertise in … Knowledge of stream processing frameworks for real-time data processing. Experience with cloud-based data services, particularly on Google Cloud Platform, advantageous. Familiarity with data orchestration tools and workflow management systems. Experience implementing data governance and compliance measures in line with regulations like GDPR and standards like ISO27001. Background in SaaS, API, or telecommunications environments, with specific expertise in 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 More ❯

/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and ability to overcome challenges. Empathetic and collaborative team player open More ❯

/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and ability to overcome challenges. Empathetic and collaborative team player open 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 ❯

Our KPMG Lighthouse is growing! The Belgian local Center of Excellence for Data, Analytics, Artificial Intelligence & Intelligent Automation is looking for a Master Data Management Senior Advisor or Manager. You will be working in a modern environment and find yourself surrounded by a multi-disciplinary peer group of over 60 data enthusiasts, with a strong entrepreneurial spirit. In this … maturity, practices and governance frameworks to identify gaps and opportunities for improvement in data quality, data consistency and data sharing. You will analyze, design, implement, and optimize Master Data Management strategies and MDM governance and operating models based on the client's needs and business objectives. to deliver solutions that manage and standardize critical data assets across our clients … the adoption of MDM best practices and technologies, fostering sustainable data governance through training and communication. You will contribute to the continuous development and implementation of our Master Data Management capabilities , elevating our service offerings through innovative solutions. Skills & Qualifications We are looking for a strategic and results-driven Master Data Management Consultant with a strong ability to 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 ❯

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 ❯

Assisting in the triage and resolution of data related SIT, UAT and data migration issues. Qualifications Proven track record of being able to deliver complex tasks on time. Stakeholder management at all levels of an organisation. Excellent verbal and written communications skills. Experience working with complex datasets. Problem-solving experience and able to interrogate and check data autonomously. Strong … numerical, analytical and communication skills. Strong time management skills to ensure effective on time delivery of tasks. A proven track record of querying & resolving data inaccuracies and challenges. 4+ years of proven work experience as a data analyst or business data analyst, Big 4 experience would be beneficial. An BSc or equivalent in a scientific or numerate subject, or … to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Excellent understanding and experience of Data Governance. Extensive knowledge of data lineage and metadata management practices, and strong experience of the application of Data Quality dimensions to Data Quality management. Broad understanding of CRM and ERP data, systems and reporting solutions would More ❯

Analysts to understand source-to-target mappings and quality requirements. Build ETL/ELT workflows, validation checks, and cleaning steps for data reliability. Automation & Process Optimization Automate data reconciliation, metadata management, and error-handling procedures. Continuously refine pipeline performance, scalability, and cost-efficiency. Collaboration & Leadership Coordinate with Data Scientists, Data Architects, and Analysts to ensure alignment with business … Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work … Kingdom 2 weeks ago London, England, United Kingdom 2 days ago Engineering Manager/Tech Lead (Hands on!) - Up to £175,000 comp - London/Hybrid Construction Engineering/Management | Consultant London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago London, England, United Kingdom 3 weeks ago 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 · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate 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 · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate 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 · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate 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 · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate 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 · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate 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 · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate 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 Conduct and analyse experiments on data to provide insights Produce data visualizations and summaries to communicate data characteristics to researchers and …/or data warehousing technologies, such as Apache Hive, Iceberg etc. Data transformation via SQL and DBT. Orchestration platforms such as Apache Airflow, Argo Workflows, etc. Data catalogs and metadata management tools Vector databases Relational and object databases Kubernetes computational geometry such as mesh or boundary representation data processing analyzing data and communicate results using tools such as 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 ❯

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 ❯

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 ❯

leaders across domains and geographies to maintain strong business alignment. Ensure data engineering initiatives align with business priorities. Promote a product mindset, balancing technical efficiency with business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retrospectives, and team … testing, and deployment. Ability to mentor others in best practices. Product mindset focused on user needs. Experience designing end-to-end data solutions. Implementing data governance, cataloging, lineage, and metadata management. Preferred: Experience with Databricks. Understanding of data platform interaction with marketing and engagement platforms. Knowledge of APIs, streams, webhooks, and SOA. Understanding of security and data protection best More ❯

Lab49 is seeking a highly skilled Data Modeler with expertise in building application data models covering multiple capability areas of business that include Finance, CRM, and Master Data Management (MDM) to support large-scale Programmes. This role requires a strong understanding of financial services, corporate systems, and consulting environments. The ideal candidate will work closely with cross-functional teams … physical data models to support enterprise-wide MDM initiatives. Develop end-to-end data lifecycle event flows, mapped to logical model and physical systems. Document and maintain data dictionaries, metadata, and entity relationships. Translate requirements into optimal data structures. Define and enforce data governance policies and standards. Design data models for structured and unstructured data across relational and NoSQL … in SQL, NoSQL, and cloud-based databases (Snowflake, Amazon Redshift, Big Query, etc.). Experience working in financial services, capital markets, or consulting environments. Deep understanding of data governance, metadata management, and regulatory compliance. Proficiency with ETL frameworks, APIs, and real-time data integration. Why Lab49? Lab49 is an established partner for most financial institutions on Wall Street. 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 ❯

end development and support of AI models for multiple functional domains, ensuring advanced scalability, reusability, and alignment with organizational goals. Oversee the integration, maintenance, and sharing of model-specific metadata-such as training datasets, deployment dates, and usage guidelines-promoting robust governance and transparency. Perform and guide model retraining, performance monitoring, and updates for complex production models (e.g., time … state-of-the-art algorithms-including foundational language models, object detection/classification, and time series analysis-to tackle advanced enterprise challenges. Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating policy-as-code and compliance checks into the model lifecycle. Architect and refine APIs for model inference, enabling seamless deployment and integration with … large-scale enterprise applications. Provide technical leadership in model lifecycle management, including versioning, monitoring, and auditing, ensuring all models adhere to best practices and regulatory requirements. Enhance and maintain automation pipelines for model training, testing, and deployment, leveraging CI/CD principles to improve efficiency and reliability. Conduct thorough performance benchmarking and optimization for deployed models in production, incorporating More ❯