Murex Datamart

• Minimum 4+ years of experience in Murex Datamart, data engineering, data integration, software development, or related technology roles.

• Minimum 4+ years of experience in Murex Datamart, data engineering, data integration, software development, or related technology roles.
• In-depth understanding of Murex Datamart concepts, data structures, data flows, and reporting requirements.
• Knowledge of database management systems, SQL, data structures, and data modeling.
• Familiarity with project management tools and delivery methodologies.
• Knowledge of Agile development methodologies.
• Understanding of software architecture, data architecture, and design patterns.
• Knowledge of cloud computing platforms and infrastructure.
• Experience with requirements analysis, technical documentation, development, testing, deployment, and maintenance processes.
• Familiarity with source control, defect tracking, code review, release management, and collaboration tools.
• Ability to translate business requirements into data and technology solutions.
• Experience working with cross-functional technology and business teams.
• Experience with Murex Datamart development, configuration, extraction, reporting, integration, or production support processes.
• Working knowledge of SQL for data extraction, transformation, validation, analysis, and reporting.
• Understanding of data warehouses, data marts, fact and dimension structures, and historical data.
• Knowledge of data integrity, data lineage, data lifecycle, and secure data handling.

• Experience with Murex Datamart configuration, development, reporting, integration, and production support.
• Experience with capital markets, financial services, investment banking, risk, trading, treasury, or regulatory reporting.
• Knowledge of Murex data models, extraction processes, reporting structures, and data validation.
• Experience with ETL tools, data warehouses, data marts, and business intelligence platforms.
• Familiarity with cloud-based data platforms and infrastructure.
• Experience with CI/CD, automation, monitoring, and operational support.
• Experience managing technology vendors and supporting contract discussions.
• Knowledge of efficient and sustainable data processing and infrastructure usage.
• Familiarity with Python, shell scripting, or similar development tools.
• Experience with data governance, metadata management, and reporting data controls.

• Design, develop, maintain, and support Murex Datamart solutions.
• Analyze business requirements and translate them into data models, technical specifications, reporting solutions, and implementation plans.
• Develop and maintain data extraction, transformation, validation, and reporting processes.
• Collaborate with internal stakeholders to understand business requirements and deliver appropriate technology solutions.
• Work with development, testing, data, architecture, business, operations, and reporting teams to support successful project delivery.
• Lead or coordinate cross-functional technology activities where required.
• Provide technical guidance and knowledge sharing to team members.
• Support data quality, reconciliation, validation, issue investigation, and production support activities.
• Participate in technical design discussions, code reviews, testing, release activities, and implementation planning.
• Identify opportunities to improve data processes, reporting accuracy, solution performance, automation, and delivery efficiency.
• Evaluate new technologies and recommend suitable solutions based on business value, feasibility, security, cost, scalability, and maintainability.
• Develop and maintain technology roadmaps, delivery plans, dependencies, risks, and technical documentation.
• Manage delivery issues, change requests, dependencies, and stakeholder expectations.
• Support vendor coordination and contract-related activities where applicable.
• Consider security, operational efficiency, cost management, and sustainability when designing and operating data solutions.

• Murex Datamart solutions meet agreed business, reporting, integration, data quality, and operational requirements.
• Data extraction, transformation, validation, reconciliation, and reporting processes operate accurately and consistently.
• Data models, mappings, technical specifications, and documentation are complete, traceable, and maintainable.
• Reporting data is accessible, accurate, timely, and aligned with approved business definitions.
• Data quality issues and reconciliation breaks are identified, investigated, documented, and resolved within agreed priorities.
• Delivery activities are supported by effective requirements analysis, testing, release management, production support, and stakeholder communication.
• Technology solutions are assessed for security, performance, scalability, maintainability, cost, and efficient resource usage.
• Technology risks, dependencies, change requests, and delivery decisions are actively managed and communicated.

• Ability to understand technical concepts, data flows, system behavior, and application dependencies.
• Knowledge of SQL for data extraction, transformation, validation, analysis, and reporting.
• Ability to translate business requirements into functional and technical specifications.
• Understanding of scripting and programming concepts relevant to data integration and automation.
• Ability to review technical documentation, data mappings, interfaces, and processing logic.

• Experience with scripting languages used for data processing or automation.
• Familiarity with Python, shell scripting, or similar development tools.
• Knowledge of programming concepts used in Murex integrations and reporting processes.
• Experience developing reusable scripts for data validation, reconciliation, monitoring, or operational support.

• Knowledge of relational database management systems.
• Strong understanding of SQL, data structures, data modeling, and database integration.
• Understanding of Murex Datamart data structures, data flows, and reporting requirements.
• Experience with data extraction, transformation, validation, reconciliation, and quality checks.
• Knowledge of data warehouses, data marts, fact and dimension structures, and historical data.
• Understanding of data integrity, data lineage, data lifecycle, and secure data handling.
• Ability to review data mappings, source-to-target relationships, transformation rules, and reporting definitions.

• Experience with capital markets, trading, risk, treasury, position, transaction, or valuation data.
• Knowledge of ETL processes, data migration, and data reconciliation.
• Familiarity with NoSQL databases or specialized data stores.
• Experience with data governance, metadata management, and reporting data controls.
• Knowledge of database performance tuning and query optimization.
• Experience with data retention, archival, historical data processing, and reconciliation frameworks.

• Knowledge of cloud computing platforms and infrastructure.
• Understanding of cloud-based data storage, compute, networking, security, availability, and monitoring.
• Ability to assess cloud-related impacts on data solutions, reporting, performance, and operational support.
• Understanding of deployment and support across development, testing, and production environments.
• Awareness of cloud access management, resource controls, monitoring, and operational dependencies.

• Experience deploying or supporting Murex Datamart and data solutions on cloud platforms.
• Familiarity with cloud-based data warehouses, ETL services, storage, monitoring, and identity services.
• Knowledge of cloud security, infrastructure automation, and resource optimization.
• Awareness of cost-efficient and sustainable cloud resource utilization.
• Experience supporting cloud migration, environment provisioning, or cloud-based production operations.

• Understanding of data integration, data warehousing, data modeling, and reporting frameworks.
• Experience with Murex Datamart development, configuration, extraction, or support processes.
• Ability to use tools and frameworks for data validation, reporting, reconciliation, and issue investigation.
• Understanding of software architecture, data architecture, integration patterns, and design principles.
• Ability to work with data mappings, transformation rules, reporting structures, and interface specifications.

• Experience with ETL tools and data integration frameworks.
• Experience with business intelligence or reporting platforms.
• Familiarity with data quality, metadata, lineage, and reconciliation tools.
• Experience with automation frameworks for testing, deployment, monitoring, or operational support.
• Knowledge of frameworks used for financial, risk, treasury, trading, or regulatory reporting.

• Familiarity with project management tools and delivery methodologies.
• Knowledge of Agile development methodologies.
• Familiarity with source control, defect tracking, code review, release management, and collaboration tools.
• Experience with requirements analysis, technical documentation, development, testing, deployment, and maintenance processes.
• Understanding of CI/CD concepts, release planning, environment management, and deployment coordination.
• Ability to participate in design reviews, code reviews, testing activities, implementation planning, and production support.
• Experience working with cross-functional technology and business teams.

• Experience with CI/CD, automation, monitoring, and operational support.
• Experience with Agile delivery planning, backlog management, estimation, and iteration reviews.
• Experience developing technical roadmaps, delivery plans, risk logs, dependency plans, and operational runbooks.
• Experience coordinating vendors, delivery partners, or technology service providers.
• Experience with automated testing, data validation, release controls, and deployment monitoring.

• Understanding of secure data handling, data access controls, and information protection.
• Awareness of security requirements across data extraction, transformation, storage, reporting, and integration processes.
• Understanding of authentication, authorization, role-based access, and least-privilege principles.
• Ability to identify security considerations in data architecture, cloud infrastructure, interfaces, and reporting solutions.
• Awareness of auditability, data lineage, retention, and controlled access to sensitive financial data.

• Experience supporting data solutions with formal security, audit, regulatory, or compliance requirements.
• Knowledge of cloud security controls, id