1 to 25 of 42 Permanent Metadata Jobs in the UK with Remote Work Options

Extensive experience migrating on-premises data warehouses to the cloud. Proficiency with Spark, SQL, Python, R, and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Extensive knowledge of querying API systems. Extensive experience building and optimising ETL pipelines using Databricks. Understanding of data more »

enable better automation, integrate with EMBL-EBIs high performance computing and storage resources and develop/implement new functionality, such as extraction of structured metadata from freeform text through LLMs. A key focus of the role will be developing and integrating systems for interactive visualisation of biological images: we aim more »

Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run and maintain a cost-effective Azure Cloud reporting infrastructure Work closely with security, data protection and compliance teams to ensure more »

a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Technical Account more »

Data Management Lead (S/4 HANA) ABJ6926 South East £ up to c55-70k + Bonus A Data Management lead is urgently required to join an expanding digital team who are embarking on an SAP ECC to S/4 more »

days in the office. What youll be doing Analyse end-user needs and design, test, and develop data warehouses. Drive automation through effective metadata management. Become a data management evangelist, ensuring we get the best form our data assets. Develop technical workflows using different modelling techniques. Analyse, and translate business … What youll need Experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. Designing more »

document the processes clearly. Experience with data architecture and design patterns. Experience managing a data model repository. Experience with coordinating data modelling activities with metadata management. Knowledge of data profiling tools and techniques. Experience with data management and governance principles. Must be able to provide design options, alternatives and recommendations more »

Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning 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 »

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 »

qualification relevant to information/records management. - Membership of a relevant professional body. - Experience in projects implementing effective record management solutions. - Technical knowledge of metadata, information architecture, and file planning. - Experience with SharePoint and O365 configuration for effective information management and retention. Additional Responsibilities: - Collaborate with cross-functional teams to more »

a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Technical Account more »

aligning it with overarching goals. Engage stakeholders to pinpoint knowledge management needs and aid in crafting tailored solutions. Establish and uphold standards for taxonomy, metadata, and ontology to uphold the integrity and consistency of knowledge assets. Contribute to the creation and deployment of knowledge management systems and tools, guided by … highly regulated industry i.e. pharma, finance, public sector etc. Demonstrated expertise in knowledge management, information architecture, or a relevant discipline. Solid grasp of taxonomy, metadata, and ontology principles and their practical implementation in knowledge management systems. Demonstrable experience using and analysing ServiceNow. Exceptional communication and collaboration proficiencies, enabling effective teamwork 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 Data Factory and building ETL pipelines more »

and meta-analysis software, gold standard machine learning ready datasets, and a highly customisable public cloud platform with distributed data warehousing technology for cross metadata queries. You will interact closely with the teams Biocurator for data coordination into the perturbation data portal, as well as with the wider Human Genomics 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 »

Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience in core architecture. Proficiency in providing advisory on architectural patterns. Experience more »

financial product knowledge. Experience with regulatory reporting or BCBS 239 would be advantageous. Understanding and experience of good governance, preferably data governance. Experience with metadata management tooling would be beneficial but is not necessary (e.g.: Collibra, MetaCenter, Solidatus). We offer: The opportunity to work in the Finance department of more »

best practices for data coding to ensure consistency within the system. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Your Profile: Technical key skills/knowledge/experiences: A deep understanding of data structures, database management systems (DBMS), and the ability to design more »

Gateway, Terraform, CI/CD. KEY DUTIES AND RESPONSIBILITIES You will actively contribute to the codebase and participate in peer reviews. Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, S3. As an experienced Engineer, you will play more »

perspective Develop and/or lead the development of complex specifications for #SDTMs and #ADaM datasets Produce/define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs You Will Have BSc in life sciences, mathematics, statistics or related field. Extended #SAS programming more »

soon as possible Key Responsibilities: Provide analytical support for performance measurement and predictive modeling. Develop dashboards and analyze data related to video content and metadata curation. Partner with other teams/departments to define metrics, KPIs, and automation strategies. Build and implement innovative data solutions to enhance efficiency. Skills and more »

a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Technical Account more »

a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Engineer more »

s architectural design Development and testing of the integration, modelling, data persistence and querying tools and analytical systems Data pipeline implementation, maintenance and testing Metadata management processes and tools Monitoring the overall performance and stability of the pipelines Implementing data curation, metadata management and data quality tooling Engaging with our … to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience building modern enterprise-wide data more »