models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet More ❯
unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML More ❯
unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML More ❯
unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML More ❯
e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud/SAP)/data architecture Understanding of public and private More ❯
and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding More ❯
and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding More ❯
and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding More ❯
Aberdeen, Scotland, United Kingdom Hybrid / WFH Options
JR United Kingdom
modelling, and familiar with at least one programming or scripting language commonly used in data engineering. Strong understanding of data quality, data governance, and metadata management practices across the data lifecycle. Experience of working in banking & financial services, particularly with mortgage data or customer-centric systems. Proven ability to support More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
JR United Kingdom
modelling, and familiar with at least one programming or scripting language commonly used in data engineering. Strong understanding of data quality, data governance, and metadata management practices across the data lifecycle. Experience of working in banking & financial services, particularly with mortgage data or customer-centric systems. Proven ability to support More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
JR United Kingdom
modelling, and familiar with at least one programming or scripting language commonly used in data engineering. Strong understanding of data quality, data governance, and metadata management practices across the data lifecycle. Experience of working in banking & financial services, particularly with mortgage data or customer-centric systems. Proven ability to support More ❯
technical system owners to trace data flows from source to report. Hands-on experience with data management and lineage tool e.g. Collibra Familiarity with metadata repositories and data cataloguing. Experience with data governance frameworks (e.g., DAMA-DMBOK). Familiarity with risk data aggregation and reporting (RDAR) frameworks. Proficiency in SQL More ❯
technical system owners to trace data flows from source to report. Hands-on experience with data management and lineage tool e.g. Collibra Familiarity with metadata repositories and data cataloguing. Experience with data governance frameworks (e.g., DAMA-DMBOK). Familiarity with risk data aggregation and reporting (RDAR) frameworks. Proficiency in SQL More ❯
technical system owners to trace data flows from source to report. Hands-on experience with data management and lineage tool e.g. Collibra Familiarity with metadata repositories and data cataloguing. Experience with data governance frameworks (e.g., DAMA-DMBOK). Familiarity with risk data aggregation and reporting (RDAR) frameworks. Proficiency in SQL More ❯
Experience with regulatory reporting or BCBS 239 would be advantageous. Understanding and experience of good risk and governance frameworks, preferably data governance. Experience with metadata management tooling would be beneficial but is not necessary (e.g.: Collibra, MetaCenter). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining More ❯
Work with stakeholders to maximize value and align data architecture with business objectives. Documentation: Maintain comprehensive data architecture documentation, including data models, flow diagrams, metadata, data lineage, dictionaries, and data catalogues. Negotiation and stakeholder engagement: Facilitate negotiations across educational, healthcare, government, and social care sectors to ensure high standards and More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Lorien
text-to-speech, speaker recognition) Azure AI Translator Azure AI Search Lead technical PoCs for: Multilingual speech transcription and translation Intelligent document parsing and metadata extraction Cognitive search across structured and unstructured documents Collaborate closely with product owners, analysts, and data governance stakeholders Set architecture patterns, API contracts, and integration More ❯
embedded AI and machine learning. Deliver data solutions focused on business fulfilment, operational efficiency, and measurable impact. Champion best practices in data quality, governance, metadata, and regulatory compliance. Partner across functions and lead a high-performing data engineering team, fostering innovation and agility. Skills and experience we’re looking for More ❯
embedded AI and machine learning. Deliver data solutions focused on business fulfilment, operational efficiency, and measurable impact. Champion best practices in data quality, governance, metadata, and regulatory compliance. Partner across functions and lead a high-performing data engineering team, fostering innovation and agility. Skills and experience we're looking for More ❯
Diligenta - a subsidiary of Tata Consultancy Services
governance frameworks and guidance Create and publish data governance policies and processes Monitor data quality and related metrics Conduct data governance impact analyses Support metadata management Assist the Data Governance Manager on governance issues Implement data quality and management platforms Qualifications and skills Strong understanding of data governance concepts Analytical More ❯
s on test environment provisioning and test data creation/useage Create or accurately request complex test data, taking into account referential integrity and metadata What you'll need Accomplished Test Automation Engineer helping to develop a robust and future-facing Automation & Frameworks. Experience in creating UI and API automated More ❯
management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (Akeneo, Salsify, inRiver, etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. More ❯
eLearning providers and HR Talent Development teams to ensure training content is up-to-date and accessible for all employees. Complete monthly license audits, metadata checks, and updates regarding eLearning content. Support the daily operations of our LMS providing guidance towards HR, business stakeholders, training administrators, and keeping the user More ❯
guidelines, and quality gates. About you Experience with ALIS or CoreSuite would be beneficial. Analytical approach for complex problem-solving Ability to analyse complex metadata structures and good understanding of the full software development lifecycle. Previous experience of working with database structures and application configuration. Understanding of database script and More ❯
