Job Description

Empowering Africas tomorrow, togetherone story at a time.With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.Job Summary As a Platform Engineer specializing in Data Science, you will play a crucial role in designing, implementing, and maintaining the infrastructure necessary to support data science workflows and machine learning models.
Your responsibility would be to help maintain, support and build scalable, reliable, and efficient platform to enable data-driven decision making across the organization. You will collaborate closely with data scientists, software engineers and infrastructure teams to ensure seamless integration of data science solutions into our systems.Platform Engineering & ArchitectureUnderstand MLOps and general data engineering principles.Design and test the platform architectureUnderstand the technical landscape and bank specific architecture to effectively design & deliver data solutions.Ensure designs & solutions support the technical organization principles of self-service, repeatability, testability, scalability & resilience.Support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources.Support the continuous optimization, improvement & automation of data processing, retrieval, storage & distribution processes.Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-Wide Risk Management Framework and Absa Policies and Policy Standards.
Understand and manage risks and risk events (incidents) relevant to the role.Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesize data solution designs (build a solution from its components) beyond the analysis of the problem.Participate in design thinking processes to successfully deliver data solution blueprints.Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g., design process.Develop high quality data processing, retrieval, storage & distribution design in a test driven & domain driven / cross domain environment.Build analytics tools that utilize the data pipeline by quickly producing well-organized, optimized, and documented source code & algorithms to deliver technical data solutions.Create, maintain and support CI / CD Pipelines.Automate tasks through appropriate tools and scripting technologies.Build infrastructure to automate high volumes of data delivery.Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business.Apply general design patterns and paradigms to deliver technical solutions.Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organization.Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organizations data.Meaningfully contribute to & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long-term delivery.Meaningfully contribute to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g., OLAs, IAAS, PAAS, SAAS, Containerization etc.Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice.PeopleConduct peer reviews, testing, problem solving within and across the broader team.Present and discuss your ideas and solutions within and across the broader team.Collaborate and communicate with your team in timely and professional manner.Help coach, mentor and upskill other engineers.Core skillsCloud experience (AWS, Azure)Data engineering, MLOpsScripting languages (python, bash)Deployment automation (terraform, github-actions)EducationBachelor's Degree: Information TechnologyAbsa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.Absa Bank Limited reserves the right not to make an appointment to the post as advertised

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