1 to 25 of 52 Permanent Metadata Jobs with Hybrid or WFH Options

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 »

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 »

in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge 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 »

WILL BE DOINGThis role is offered on a hybrid basis, which can be discussed with the recruitment team during the hiring process.Join our community.The Metadata Team’s purpose is to help the business better understand their data – with a focus on key data – and be able to maintain and evidence … that understanding.We are on an exciting journey of building up improved and digitised tooling & capabilities for technical metadata and data lineage harvesting as part of “Santander Data Marketplace” to tackle the bank’s vast data infrastructure. Using industry leading Informatica tooling – specifically “Axon” and “EDC “ – we are giving anyone in … we seek like-minded driven individuals who are truly passionate about seeing through a delivery to realise real business benefit. We are not doing “metadata for metadata's sake” - everything we are doing is internal customer/user driven.The difference you’ll make. Supporting the Head of Data Governance in 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 »

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 »

solutions. Monitor and evaluate solution performance and suitability. Ensure the planned architecture of the Data Warehouse environment is delivered. Maintain data models, schemas, and metadata repositories. Monitor and maintain operational data warehouse builds, resolving issues promptly. Identify and escalate potential quality issues or performance risks during monitoring. Assure that developed 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 »

Marketing Cloud or Data Cloud.Strong knowledge of Salesforce architecture and knowledge of Salesforce ecosystem.Deployments between SFDC Sandboxes and Production Orgs using Change Sets and Metadata APIs.Experience in other comparable business intelligence tools such as Tableau, Microsoft Power BI or Qlikview.Development experience in Apex, VisualForce and Lightning Components.Experience with ETL tools 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 »

test, and document ETL and ELT solutions. accurate documentation, including lineage, for all solutions. and assess solution performance and suitability. data models, schemas, and metadata repositories. operational data warehouse issues promptly. compliance with standards and controls. user functionality and productivity with new solutions. processes to standardise their data warehouse environment. more »

solutions. Monitor and evaluate solution performance and suitability. Ensure the planned architecture of the Data Warehouse environment is delivered. Maintain data models, schemas, and metadata repositories. Monitor and maintain operational data warehouse builds, resolving issues promptly. Identify and escalate potential quality issues or performance risks during monitoring. Assure that developed more »

geo-enabled applications and graph database structures, using knowledge of various data formats including XML, JSON, flat file, Parquet etc. You can also manage metadata across your development teams systems and beyond, with a practitioner knowledge of tracking data provenance and data lineage. You’ll work to agreed and recognised 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 »

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 »

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 »

management of data governance frameworks. Manage the organisational data risks and issues Manage the data competencies within the organisation (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience: 3 + years’ experience working within a Data Governance related more »

management of data governance frameworks. Manage the organizational data risks and issues Manage the data competencies within the organization (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience 3 + years’ experience working within a Data Governance related more »

management of data governance frameworks. Manage the organizational data risks and issues Manage the data competencies within the organization (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience 3 + years’ experience working within a Data Governance related 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 »

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 »