Absa Africa Lead Data Engineer Jobs in South Africa

Absa Africa Lead Data Engineer Jobs in South Africa


  • 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

  • Leveraging a thorough understanding of the business data requirements & own data subject matter expertise (ahead of trend), set data architecture direction & lead the agile solution design, deployment, implementation & ongoing optimization of enterprise wide data retrieval, storage and distribution across an estate.

    Job Description

    Data Architecture & Data Engineering

    • Take ‘one stop shop’ accountability for the retrieval, storage, processing & distribution of data across a business area (data eco-system)

    • Collaborate with data science teams & broader business & technical stakeholders to analyse customer data requirements & leverage analysis to identify & accurately spec / frame & set the appropriate data architecture for the business area

    • Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)

    • Leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem

    • Lead design thinking processes to successfully deliver data solution blueprints & associated roadmaps

    • Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.

    • Lead the end to end solution design & implementation process for all data retrieval, storage & distribution solutions including contributing to and in some cases lead all phases of the development lifecycle including e.g. design process

    • Develop high quality data retrieval, storage & distribution design and architecture in a test driven & domain driven / cross domain environment

    • Build analytics tools that utilize the data
    pipeline by quickly producing well-organised, optimized, and documented source code & algorithms to deliver technical data solutions

    • Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments – supporting and managing your applications all the way to production)

    • Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef

    • Debug existing source code and polish feature sets.

    • Assemble large, complex data sets that meet business requirements & manage the data pipeline

    • Build infrastructure to automate extremely high volumes of data delivery and

    • Creatively solve data volume and scaling challenges.

    • Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business

    • Ensure designs & solutions
    support the technical organisation principles of self-service, repeatability, testability, scalability & resilience

    • Apply general design patterns and paradigms to deliver technical solutions

    • Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

    • Continuously optimise, improve & automate data retrieval, storage & distribution processes

    • Work across the value chain and in particular with QA & CSO to define and implement quality assurance routines & processes

    • Work across the value chain and in particular with QA & CSO to ensure the undisputable separation, security & quality of the organisation’s data

    • Meaningfully contribute & 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 & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.

    • Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide)

    • Stay ahead of the curve on data retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice

    People

    • Coach & mentor other engineers

    • Conduct peer reviews, testing, problem solving within and across the broader team

    • Provide technical subject matter expertise and support in the attraction and recruitment of Product Engineers for the organization

    • Participate as a subject matter expert in the development & development planning of the broader dat engineering team

    • Support the people change teams in the design of adoption processes (Customer, Employee & 3rd Party Adoption)

    Risk & Governance

    • Identify technical risks and mitigate these (pre, during & post deployment)

    • Update / Design all application documentation aligned to the organization technical standards and risk / governance frameworks

    • Create business cases & solution specifications for various governance processes (e.g. CTO approvals)

    • Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents

    • Deliver on time & on budget (always)

    How to Apply

  • For more information and job application details, see; Absa Africa Lead Data Engineer Jobs in South Africa


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