1 to 25 of 46 Permanent Metadata Jobs in London

data warehouses e.g. develop and optimise database solutions to store and retrieve company information. Defining the data architecture framework, standards, and principles, including modelling, metadata, security, reference data such as country codes and security reference data that covers all issued securities across diverse asset classes, and master data such as more »

data warehouses e.g. developing and optimising database solutions to store and retrieve company information. Defining the data architecture framework, standards, and principles, including modelling, metadata, security, reference data such as country codes and security reference data that covers all issued securities across diverse asset classes, and master data such as more »

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 »

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 »

alignment with business needs for data timeliness. 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. What they are looking for... Proven experience in analytics engineering and using Python and DBT to more »

the effective management, protection, and utilisation of data assets across the organisation. Establish and maintain robust data governance controls and processes, including data quality, metadata management, data lineage, and data privacy, to ensure compliance with regulatory requirements and industry standards. Partner with cross-functional teams, including IT, legal, compliance, and more »

Multi skilled experience in the concepts and delivery of Data Strategy & Governance. For example: Data Policies, Data Standards, Data Governance Framework, Data Quality Framework, Metadata Management, Master Data Management, Management Information and Data and Analytics. The ability to deliver data strategy & governance tasks as part of a wider framework. Project 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 engineering/data operations Delivering a robust and reliable data operations function for mission critical data Operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Service management and running of data platforms leveraging robust processes and frameworks eg. ITIL. Implementing more »

delivering multi-source, multi-TB, mission critical 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 successful candidate will successfully blend excellent leadership with deep technical expertise hands-on experience with 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 »

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK’s scientists, engineers, and more »

business analysis experience in insurance, preferably London Market. Support projects from a data perspective and assist with Analytics & Insights initiatives. Familiarity with data governance, metadata management, and data quality improvement. Proficiency in data modeling, ETL processes, tools like SQL, Power BI, and Informatica, and understanding of SDLC methodologies. If you 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 »

and data sets. Strong experience in Power BI including advanced ability to design dashboards. Strong SQL skills. Build processes supporting data transformation, data structures, metadata, dependency and workload management. The ability to manipulate, combine, process, and extract value from disconnected datasets. Strong experience in automating formulas from Excel to Power more »

challenges. Required Skills: Proven experience (minimum 2 years) with Collibra Data Catalog. Deep understanding of data governance concepts and practices. Expertise in data modeling, metadata management, and data lineage. Strong background in data warehouse design and SQL Server ETL processes. Proficiency in Power BI for reporting. Desirable Skills: Experience with more »

implementation. PIM Solution Design: Design end-to-end PIM solutions tailored to meet clients' specific needs and business objectives. Develop data models, taxonomy, and metadata structures to organize and classify product information effectively. Define workflows, data governance policies, and data quality standards to ensure accuracy and consistency of product data. more »

quality and data operations capabilities for the organization’s strategic data platform • Monitoring the overall performance and stability of data pipelines • Implementing data curation, metadata management and data quality tooling • Engaging with our business and technology partners to ensure that the platform fully meets the firm’s needs • Engage with more »

enterprise-wide data governance framework across EMEA. Key responsibilities will include embedding the data governance framework; developing the framework; leading the implementation of strategic metadata and data lineage tooling and improving data quality. This is a VP level hire paying circa £100k plus bonus and benefits. We’re looking for 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 »

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 »

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 »