176 to 200 of 517 Use Case Jobs in the South East

Interoperable, and Reusable—and enforce robust access controls in collaboration with governance stakeholders. Translate Requirements into Technical Designs Accumulate and analyze requirements via stakeholder engagement, user stories, or use cases. Convert these into detailed design artifacts, including architecture diagrams, data models, and specifications for development. Optimize Performance Across the Stack Continuously refine ETL pipelines, SQL logic, and data More ❯

Interoperable, and Reusable-and enforce robust access controls in collaboration with governance stakeholders. Translate Requirements into Technical Designs Accumulate and analyze requirements via stakeholder engagement, user stories, or use cases. Convert these into detailed design artifacts, including architecture diagrams, data models, and specifications for development. Optimize Performance Across the Stack Continuously refine ETL pipelines, SQL logic, and data More ❯

and Reusable—and enforce robust access controls in collaboration with governance stakeholders. 5. Translate Requirements into Technical Designs Accumulate and analyze requirements via stakeholder engagement, user stories, or use cases. Convert these into detailed design artifacts, including architecture diagrams, data models, and specifications for development. 6. Optimize Performance Across the Stack Continuously refine ETL pipelines, SQL logic, and More ❯

and Reusable—and enforce robust access controls in collaboration with governance stakeholders. 5. Translate Requirements into Technical Designs Accumulate and analyze requirements via stakeholder engagement, user stories, or use cases. Convert these into detailed design artifacts, including architecture diagrams, data models, and specifications for development. 6. Optimize Performance Across the Stack Continuously refine ETL pipelines, SQL logic, and More ❯

dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with More ❯

dbt (Data Build Tool) — modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with More ❯

dbt (Data Build Tool) — modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with More ❯

and partner challenges. Collaborating with cross-functional teams, including engineering, marketing, and GTM functions, you will prioritize investments and ensure the platform delivers differentiated, scalable solutions for customer use cases. Responsibilities Define Data Strategy : Develop and refine a comprehensive data strategy that supports usage-based pricing, cost alignment, data correlation, aligning with 2026 objectives. Lead AI/ML More ❯

and partner challenges. Collaborating with cross-functional teams, including engineering, marketing, and GTM functions, you will prioritize investments and ensure the platform delivers differentiated, scalable solutions for customer use cases. Responsibilities Define Data Strategy : Develop and refine a comprehensive data strategy that supports usage-based pricing, cost alignment, data correlation, aligning with 2026 objectives. Lead AI/ML More ❯

customer data platforms for large organizations and will be comfortable integrating multiple complex data sets, so clients better understand their customers and how to activate them for marketing use cases. During client projects you will be hands on in delivering a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer More ❯

customer data platforms for large organizations and will be comfortable integrating multiple complex data sets, so clients better understand their customers and how to activate them for marketing use cases. During client projects you will be hands on in delivering a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer More ❯

customer data platforms for large organizations and will be comfortable integrating multiple complex data sets, so clients better understand their customers and how to activate them for marketing use cases. During client projects you will be hands on in delivering a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer More ❯

Leading Point. The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern More ❯

Leading Point. The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern More ❯

Leading Point. The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern More ❯

version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance Experience working with internal customers to define data-relevant use cases and success criteria Strong communication and stakeholder engagement skills; able to communicate with technical and non-technical audiences Desirable Criteria: Exposure to relational and non-relational data stores More ❯

version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance Experience working with internal customers to define data-relevant use cases and success criteria Strong communication and stakeholder engagement skills; able to communicate with technical and non-technical audiences Desirable Criteria: Exposure to relational and non-relational data stores More ❯

version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance Experience working with internal customers to define data-relevant use cases and success criteria Strong communication and stakeholder engagement skills; able to communicate with technical and non-technical audiences Desirable Criteria: Exposure to relational and non-relational data stores More ❯

version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance Experience working with internal customers to define data-relevant use cases and success criteria Strong communication and stakeholder engagement skills; able to communicate with technical and non-technical audiences Desirable Criteria: Exposure to relational and non-relational data stores More ❯

PCAP reports. Partner with domain SMEs and architects to design target-state data models and support migration planning. Contribute to requirements definition for data remediation and future automation use cases (e.g., waterfall validation, capital account reconciliation). Required Skills & Experience 8-12 years of experience in financial systems or fund accounting process analysis. Strong working knowledge of Sage More ❯

volumes of data efficiently within Databricks Translate business requirements into technical delivery plans-including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of 7-10 members, providing direction, guidance, and support throughout the project lifecycle Ensure best practices are More ❯

PCAP reports. Partner with domain SMEs and architects to design target-state data models and support migration planning. Contribute to requirements definition for data remediation and future automation use cases (e.g., waterfall validation, capital account reconciliation). Required Skills & Experience 8–12 years of experience in financial systems or fund accounting process analysis. Strong working knowledge of Sage More ❯

PCAP reports. Partner with domain SMEs and architects to design target-state data models and support migration planning. Contribute to requirements definition for data remediation and future automation use cases (e.g., waterfall validation, capital account reconciliation). Required Skills & Experience 8–12 years of experience in financial systems or fund accounting process analysis. Strong working knowledge of Sage More ❯

PCAP reports. Partner with domain SMEs and architects to design target-state data models and support migration planning. Contribute to requirements definition for data remediation and future automation use cases (e.g., waterfall validation, capital account reconciliation). Required Skills & Experience 8–12 years of experience in financial systems or fund accounting process analysis. Strong working knowledge of Sage More ❯

volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of 7–10 members, providing direction, guidance, and support throughout the project lifecycle Ensure best practices are More ❯