physical data models to support business and technical requirements. Collaborate with data architects, analysts, and engineers to ensure accurate translation of business needs into data solutions. Maintain data dictionaries, metadata, and documentation for consistency and reusability across the organization. Optimize data models for performance, scalability, and integration with existing systems. Ensure compliance with data governance, security, and quality standards. Support More ❯
Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework ( Batch/Micro Batch processing ) Data Contract & Data management( including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯
programme. Key Requirements: Proven experience as a Data Engineer, within Healthcare Proficiency in Azure Data Factory, Azure Synapse, Snowflake, and SQL. Strong Python skills, including experience with PySpark and metadata-driven frameworks. Familiarity with cloud platforms (Azure preferred), pipelines, and production code. Solid understanding of relational databases and data modelling (3NF & dimensional). Strong communication skills and ability to work More ❯
provide functional and technical expertise to support enterprise performance management activities including Planning, Budgeting, Forecasting , and Financial Reporting . Key responsibilities include: Administration and support of Oracle EPBCS applications (metadata updates, data loads, security provisioning, etc.) Troubleshooting and developing EPM Reports and Smart View templates Identifying and resolving discrepancies between EPM reports and source financial systems Managing EPM Automate Maintaining More ❯
data ownership , escalating where needed Enforce governance standards under pressure while maintaining business alignment Collaborate across divisional teams with strong stakeholder management Experience Required 10+ years in data governance, metadata management, and cataloging Strong technical understanding of Microsoft Purview , Azure, and Databricks Familiarity with tools like Collibra, Elation , or similar is a plus Background in data engineering, architecture , or technical More ❯
Strong understanding of data quality frameworks, issue management, and CDMP standards Hands-on experience with Collibra APIs, workflow design, and integrations with CDQ Expertise in data product modelling and metadata management Demonstrated ability to manage teams and projects in an agile environment Excellent senior stakeholder engagement and communication skills London-based, with flexibility for hybrid working About Korn Ferry Korn More ❯
information-related risks.-Contributes to the development of policy, standards and procedures for compliance with relevant legislation.?-Devises and implements master data management processes.-Derives data management structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation.-Plans effective data storage, sharing and publishing within the organisation. Independently validates external information from More ❯
If you are an experienced Data Engineer with excellent communication skills and a proven track record of working on large scale data enablement projects, we have a new contract we would like to discuss with you. Please note this role More ❯
throughout the life cycle. Responsibilities of the Software Engineer (AI Prompts): Design and optimise prompts for AI language models (eg, GPT, BERT). Analyse and transform large datasets; manage metadata schemas. Apply NLP techniques for classification, entity recognition, and text generation. Develop and deploy AI/ML models focused on language and document tasks. Automate document workflows using Scripting and … orchestration tools. Write clean, efficient code in Python and SQL; integrate with AI APIs. Ensure build quality through version control, testing, and governance practices. Build systems for document ingestion, metadata extraction, and categorisation. Collaborate with cross-functional teams and communicate technical concepts clearly. Iterate solutions based on feedback and evolving business requirements. Key requirements of the role include: Hands-on … and SQL and hold experience with APIs for AI models. Understanding of build quality best practices, version control, testing, and governance in AI projects. Experience working with document ingestion, metadata extraction, and automated categorisation systems. Ability to work effectively with cross-functional teams, clearly communicate AI capabilities and limitations. Capability to iterate AI solutions based on feedback and evolving requirements. More ❯
guides. ProjectWise Responsibilities: Provide end-to-end support for CMS and OSR ProjectWise systems. Set up new projects using BMS/ISO templates; ensure high standards for data and metadata integrity. Administer ProjectWise CONNECT Services (PW Web, Deliverables Mgmt, iTwin, Insights, Forms, etc.). Install, configure, and maintain ProjectWise Explorer, Rendition profiles, WRE workflows, attribute exchanges, and saved searches. Troubleshoot … delivery needs. Job Requirements: Experience in administering Primavera P6 EPPM and/or ProjectWise in a technical capacity. Advanced understanding of project controls and document control principles (WBS, CPM, metadata configuration, workflows). Experience managing databases (Oracle, SQL Server), integrations (APIs, PowerShell), and middleware. Proficiency with ProjectWise infrastructure, environments, workflows, and Deliverables Management tools. Familiarity with ITIL frameworks and Service More ❯
