Data Engineer

Company DescriptionStandard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.Job DescriptionTo develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmapsQualificationsInformation Studies or Information TechnologyBasic cloud certificates - DP-203 or DP-700 \ DP-900Experience: Data modelling & warehousing experience.Data pipelines experience - Extract, Transform and Load.Knowledge and experience in the following tools - SSIS, SSDT, Power BI, MS SQL, Python.Understanding of data quality issues and recon frameworks.Performance optimisation or code reverse engineering experience.Knowledge of setting up and using DevOps for deployments or at least better understanding of it.Azure Cloud Experience.Azure data engineering tools (Optional) e.g. ADF, Synapse Analytics Studio or MS FabricAdditional InformationBehavioral Competencies:Adopting Practical ApproachesArticulating InformationChecking DetailsDeveloping ExpertiseDocumenting FactsEmbracing ChangeExamining InformationInterpreting DataManaging TasksProducing OutputTaking ActionTeam WorkingTechnical Competencies:Big Data Frameworks and ToolsData EngineeringData IntegrityData QualityIT KnowledgeStakeholder Management (IT)