KEY RESPONSIBILITES (JOB REQUIREMENTS)1 Data Engineering & Platform Support2 Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics.3 Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting.4 Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.5 Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams.1 Collaboration & Business Understanding2 Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives.3 Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.4 Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems.1 Learning & Continuous Improvement2 Research and apply suitable machine learning models or statistical techniques under guidance to support business use cases.
KEY RESPONSIBILITES (JOB REQUIREMENTS)1 Data Engineering & Platform Support2 Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics.3 Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting.4 Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.5 Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams.1 Collaboration & Business Understanding2 Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives.3 Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.4 Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems.1 Learning & Continuous Improvement2 Research and apply suitable machine learning models or statistical techniques under guidance to support business use cases.
Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computer Engineering, Software Development or a related discipline.
Architect real-time and near-real-time data feeds for AI agents that require current information: market data integration, news and research feed ingestion, portfolio event streaming, and alert-triggering data pipelines — with latency and freshness SLAs defined and enforced.
Design and operate production-grade pipelines across statistical, licensed, API, database, file and web sources, with robust validation, monitoring and recovery.
Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains