1 to 25 of 58 Metadata Jobs in London

logical and/or physical data models and repositories, as well as data ontologies. • Work closely with the clients and other architects to define metadata layers, technical Data strategies and optimal integration of innovative technologies within existing enterprise architecture landscape • Evaluate and select the tools and components necessary for optimal more »

and technical governance, expertise related to cloud architectures, deployment, and operations Set yourself apart: Experience delivering projects within an agile environment Experience in MDM, Metadata Management, Data Quality and Data Lineage tools E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management Regulatory and Compliance work in Data more »

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 Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »

BI Architecture and Enterprise Architecture Data governance, data privacy, and security principles. Tools across other data management capabilities – data engineering, data governance, data quality, metadata management and master data management Designing and building out data visualisation solutions based on technology such as: Tableau, AWS QuickSight, Looker, ThoughtSpot A strong people more »

storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture more »

big data' pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/ more »

have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/Big Data/EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue) Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting more »

data model's integrity, accuracy, and compliance. You will support the development and adherence to data governance policies, focusing on data quality, lineage, and metadata management to uphold the data assets' integrity and reliability. Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. Conduct exploratory more »

solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing and metadata management from ideation to deployment. • Experience with major cloud platform-AWS. • Experience in Informatica IDMC (CDI and CAI). • Ebsuring Engineering practices are followed • Excellent more »

quality assurance checks. the collaboration with Enterprise Architecture team to design and develop solutions within Collibra to address data governance challenges, including data lineage, metadata management, data quality, and data privacy. What you'll need: experience of Information Governance frameworks. overseeing the entire lifecycle of Collibra implementation, from initial setup more »

Data Standards for the organisation, including for data modelling and appropriate templates and guidance for the use thereof Data modelling Data governance Data standards Metadata and repositories Turning business problems into data design Able to communicate clearly and concisely to onboard new members of the team Able to communicate the more »

data engineering working with multi-TB scale data solutions implementing cloud-based data and analytics solutions implementing and operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Technical Skills – Deep hands on experience with the following data technologies: Stack including, Azure Data more »

Minimum 2 years' experience with Collibra Data Catalog In-depth knowledge of data governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software more »

high-quality, accessible data models and stores, including full documentation of source and target maps; provide maintenance of an information and data catalogue and metadata repository; Generating information management testing and quality controls in both new and existing projects, and day to day operations. Knowledge and experience in NEC's more »

high-quality, accessible data models and stores, including full documentation of source and target maps; provide maintenance of an information and data catalogue and metadata repository; Generating information management testing and quality controls in both new and existing projects, and day to day operations. Knowledge and experience in NEC's more »

Azure Data Factory & Databricks/Apache/Sparx, along with extensive SQL knowledge (Microsoft SQL Server 2005+) and SSIS experience. Proficiency in Microsoft DevOps, metadata management, data quality, and Data Mesh principles. Experience supporting cross-functional teams in a dynamic environment, engaging with stakeholders at all levels in the business. more »

applications to support financial planning and reporting. - Staying up-to-date with emerging finance technology trends. - Testing and debugging application processes. - Ensuring data and metadata accuracy across finance applications. - Troubleshooting complex issues and providing guidance to end users. - Integrating technology solutions with other organizational systems. - Keeping applications up-to-date more »

Creating data models and overseeing the implementation of changes to address evolving business needs. Providing leadership in evaluating and implementing master data management and metadata management solutions. Collaborating with IT operations and delivery teams, producing essential data architecture artifacts. Your responsibilities will also involve: Defining, implementing, and governing data architecture … practices and standards. Creating and managing data models, ensuring alignment with business solutions. Serving as an expert in master data management and metadata management. Developing strategic roadmaps aligned with business and technology goals. Identifying and leveraging business opportunities through innovative data solutions. Keeping abreast of industry trends and regulations to more »

APIs using Python. Skilled in constructing and enhancing 'big data' data pipelines, architectures, and datasets. Develop processes to facilitate data transformation, manage data structures, metadata, dependencies, and workloads. Demonstrated success in manipulating, merging, processing, and extracting insights from disparate datasets. Extensive expertise in Power BI, including advanced proficiency in designing more »

Architect delivers the vision for the organisation as set by the chief data architect. At this role level, you will: Design data models and metadata systems Help chief data architects to interpret an organisation’s needs Provide oversight and advice to other data architects who are designing and producing data more »

anomalies within the data, leveraging your expertise to enhance decision-making processes and optimise the value derived from the data. Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package more »

modularity, reusability, and efficiency - across languages. Understanding full development lifecycle, SDLC concepts, version control, and CI/CD pipelines. Knowledge of data security, governance, metadata management, and master data principles. Communication skills, ability to understand business requirements and translate to technical data solutions Benefits: Base Salary more »

by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorisation systems Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products Use standard agile development more »

a Salesforce Administrator, coupled with substantial experience in Salesforce Development and previous involvement in large-scale Salesforce implementations. Proficiency in SFDX, Salesforce CLI Tooling & Metadata API. Comprehensive understanding of the Salesforce deployment model and proficiency in executing Salesforce release activities, data loads, profile management, permission sets, OWD, role hierarchy, and more »

to-day work including managing data migrations and various data governance activities, and delivering various change programmes to support data transformation, data structures and metadata for both structured and unstructured data. You will also provide training to more junior members of the team to build capability. This is a unique more »