1 to 25 of 151 Remote Permanent Metadata Jobs

Azure, GCP) and associated managed services Experience with data modeling frameworks (e.g., star schema, snowflake schema) Knowledge of data governance principles, data cataloging, and metadata management Ability to work with version control tools (e.g., Git, SVN) and CI/CD pipelines Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes More ❯

Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data, and data lineage across systems. Ensure data consistency, accuracy, and availability for business users. Performance Optimization: Monitor and optimize the performance of data More ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

Azure Strong in Power BI, Java, C , Spark, PySpark, Unix shell/Perl scripting Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Multi-cloud experience a plus - Azure, AWS, Google Proven ability to build, manage and foster More ❯

Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy enforcement, compliance, and lineage tracking Data quality solutions to ensure data accuracy, consistency, and reliability Provide architectural More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

Business Insights Delivery, you will: Create proof of concepts and prototypes as part of the requirement gathering and specification process. Perform intermediate data profiling, metadata documentation, data lineage, data transformation rules in support of offshore development. Be responsible for the development, automating, compiling, and preparing reports, dashboards, cubes, etc. Work More ❯

Unit Testing - Experience in writing unit tests for data pipelines. Data Architecture - Knowledge or experience in implementing, Kimball style Data Warehouse. Experience in building Metadata with Azure Purview or Data Lake Gen2. Data Quality - Experience in applying Data Quality rules within Azure Data Flow Activities. Data Transformation - Extensive hands-on More ❯

Unit Testing - Experience in writing unit tests for data pipelines. Data Architecture - Knowledge or experience in implementing, Kimball style Data Warehouse. Experience in building Metadata with Azure Purview or Data Lake Gen2. Data Quality - Experience in applying Data Quality rules within Azure Data Flow Activities. Data Transformation - Extensive hands-on More ❯

Unit Testing - Experience in writing unit tests for data pipelines. Data Architecture - Knowledge or experience in implementing, Kimball style Data Warehouse. Experience in building Metadata with Azure Purview or Data Lake Gen2. Data Quality - Experience in applying Data Quality rules within Azure Data Flow Activities. Data Transformation - Extensive hands-on More ❯

Responsibilities will include: Data Create and maintain robust and scalable data pipelines to ingest, process, and transform data from various sources, ensuring data and metadata quality, accuracy, and consistency. This will include working with large and complex datasets, such as census and international data. Responsibility for implementation of data governance More ❯

Responsibilities will include: Data Create and maintain robust and scalable data pipelines to ingest, process, and transform data from various sources, ensuring data and metadata quality, accuracy, and consistency. This will include working with large and complex datasets, such as census and international data. Responsibility for implementation of data governance More ❯

Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and More ❯

Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and More ❯

What You'll Bring: Senior-level experience in data, analytics, or governance (financial services a plus) Strong knowledge of data governance, data quality, and metadata management Proficiency in Power BI, SQL, and Azure-based platforms (Synapse, Data Factory, Databricks) Familiarity with data regulations (GDPR, FCA) and SMCR environments Bonus points More ❯

refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

and high throughput. Execute practices such as continuous integration and test driven development to enable the rapid delivery of working code. Design and build metadata driven data pipeline using Python and SQL in accordance with guidelines set by the Data Architect Ship medium to large features independently using industry standard More ❯

team usingCI/CD tools. Experience in Snowflake/AWS Hive and ability to write/analyze SQL queries. Industry experience in master data, metadata, data architecture, data governance, data quality and data modeling. Preferred: Experience in Business Intelligence tools such as PowerBI and Tableau in pharma industry is a More ❯