Client Support Data Engineer

7 days ago

Johannesburg, South Africa The Legends Agency Full time

Client Support Data EngineerPlay a key role in supporting clients with data-driven solutions in a growing international software company.Remote (South Africa) | R18,000 R25,000 per month depending on experience | 8am5pm SASTAbout Our ClientOur client is an international software development company, creator of Quintessence, a specialist data toolkit widely used by asset management firms in South Africa and now expanding into the UK. Their mission is to transform investment research processes through smarter data integration and modelling. The team is young, dynamic, and passionate about tackling complex data challenges while delivering customised solutions tailored to client needs.The Role: Client Support Data EngineerAs a Client Support Data Engineer, you will provide technical and analytical support to ensure client implementations of Quintessence run smoothly and meet SLA requirements. You will work closely with both internal teams and clients, troubleshooting issues, managing data requirements, and building solutions that enhance reliability, efficiency, and usability. This is a client-facing technical role with significant opportunity to grow your expertise in financial data integration and analytics.Key ResponsibilitiesMinimum 2 years of experience in data analysis, modelling, and troubleshootingConfigure and implement Quintessence software for client environmentsProvide 2nd Tier client support, including data enhancements and issue resolutionUnderstand and manage client data requirements within the financial marketsBuild and maintain end-to-end data service solutions and integrationsDevelop queries combining multiple data sources while ensuring data integrityRecommend improvements to data reliability, efficiency, and qualityProvide structured feedback to development teams on functionality and issuesDesign user interfaces for data uploads and visualisationAbout You2+ years of experience working with data in a technical support or engineering roleDegree in Statistics, Mathematics, Engineering, Informatics, or related fieldStrong SQL and Excel skills, plus experience in a programming language such as Python (essential)Exposure to data visualisation tools (Power BI, Tableau, or QlikView) (advantageous)Knowledge of APIs, ETL processes, or data warehousing (advantageous)Background in financial services or asset management (distinct advantage)Client-focused mindset with excellent communication skillsAbility to multitask, manage competing priorities, and meet deadlines

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